<div><img src="https://aecplustech-files.s3.amazonaws.com/blog/5741b41d-2b98-40f9-9a96-00550e6d0a57.png" alt="InspectMind AI" width="1080"></div>
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<div>Most conversations about AI in construction start with speed.&nbsp;</div>
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<div>&ldquo;How many hours did we save?&rdquo;</div>
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<div>&ldquo;How many pages could we review in minutes?"&nbsp;</div>
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<div>But a recent aec+tech conversation on AI-driven plan review made a more useful point: the tools save time, but the real reason to adopt them is risk.</div>
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<a href="https://www.youtube.com/watch?v=r0nEGFxC7as">This conversation</a> brought together Colton Johnson, Principal Engineer at Flint Engineering Company; Aakash Prasad, Co-founder and CEO of InspectMind AI; and Simon G. Solorio, President of Solorio Inc. Much of the discussion centered on InspectMind AI's plan-checking tool, though the takeaways apply to any firm weighing this kind of software.&nbsp;
In this article you&rsquo;ll see where AI plan review helps, where it falls short, and why a firm with weak internal processes will not get much out of it no matter how good the software gets.
<h2 dir="ltr">Reading a Pictorial Language</h2>
Plan review is not just about reading text. Construction documents carry meaning through symbols, callouts, line weights, and schedules that change from one project type to the next. An industrial set does not look like a large residential set. Every new hire has to learn how to read that visual system before they can review anything in it.
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"Construction documents are a language, and on top of that they're a pictorial language. You're relying on graphic and visual cues to display the information, translating heavy analysis and code requirements into those pictures."
&mdash; Colton Johnson, Principal Engineer, Flint Engineering Company
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Solorio described the second half of the problem: volume.&nbsp;
Even with tools like Revit and virtual walk-throughs on Meta Quest headsets, engineers still check ever-changing building codes by hand and coordinate across disciplines. Holding hundreds of pages of drawings against dense architectural, structural, mechanical, and civil specifications is a cognitive load that does not scale. There is only so much one person can keep straight at once, and plan sets keep getting bigger.
That is the gap AI steps into. Not the design work or the engineering judgment, but the slow, repetitive cross-checking that wears people down and still lets errors slip through.
A Third-Party Reviewer That Works Through Lunch
<figure class="image"><img src="https://aecplustech-files.s3.amazonaws.com/blog/bb52d8a0-3272-45e5-b6a9-e96e1717194f.png" alt="Errors missed in review surface on site, where fixes cost most." width="1080">
<figcaption spellcheck="false" data-qb-tmp-id="lt-8150" data-gramm="false">Fig 2) Errors missed in review surface on site, where fixes cost most.&nbsp;</figcaption>
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AI is a third-party reviewer. It&rsquo;s not a replacement for the engineer or the plan checker, but an extra set of eyes that never gets tired and never skips a page.
Prasad said InspectMind AI can typically review a 100- to 200-page project in one to two hours. In that window it catches discrepancies between drawings and specs, flags cross-discipline coordination issues, and checks against selected/applicable codes and references. It surfaces a prioritized set of findings while the team continues other work.&nbsp;
InspectMind AI has flagged a water main running straight into a 12-inch concrete pipe. It has caught a storm sewer drawn with no slope, which means it would never drain. These are the errors that hide on page 140 of a set and get expensive once they reach the field.&nbsp;
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"This isn't replacing your own diligence or your own quality of work. It's a useful automated review tool that helps you reduce risk and liability and improve quality overall."
&mdash; Aakash Prasad, Co-founder and CEO, InspectMind AI&nbsp;
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The discussion was honest about the limits, too. AI still struggles to read the purely graphical parts of a drawing when there are no words or numbers to anchor it. That should improve over the next few years, but for now InspectMind AI is strongest where drawings, specs, and code references can be grounded and cited. Purely graphical meaning, where the intent lives only in the picture, is still an area where human review matters.
<h2 dir="ltr">From Months of Back-and-Forth to Days&nbsp;</h2>
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<figure class="image"><img src="https://aecplustech-files.s3.amazonaws.com/blog/c6175af5-f771-4066-a384-2d4991e7ce06.png" alt="InspectMind AI tags each finding by severity, discipline, and code." width="1080">
<figcaption>Fig 3) InspectMind AI tags each finding by severity, discipline, and code.&nbsp;</figcaption>
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A minor discrepancy on a drawing is not just a quality problem. It is a liability problem. Prasad pointed to ADA compliance as an example. A ramp drawn with a 2.2 percent slope instead of the required 2 percent maximum is a small number on a sheet and a frequent target for litigation. Catching it before construction starts is worth far more than the hour it saved.
The same logic runs downstream. Errors that survive review become Requests for Information (RFIs) and change orders once contractors are on site. Each one costs time and money and strains the client relationship. The financial case lives in catching those errors early.&nbsp;
A church project in California shows how that plays out. The design firm ran its full drawing set (architecture, civil, structural, and specs) through InspectMind AI before submitting to the city. The AI flagged around 300 issues. The team fixed them first. When the city's review came back, the comments were mostly minor, and the firm closed them out in days rather than the weeks or months a project like this can take.
That is the payoff that matters. Not the hours saved running the review, but the weeks of back-and-forth with the jurisdiction that never happened, and the rework that never reached the field.
Garbage In, Garbage Out Still Applies
<figure class="image"><img src="https://aecplustech-files.s3.amazonaws.com/blog/88271371-af97-4945-8f3f-0a5ee2295ce9.png" alt="AI only reflects the inputs it gets." width="1080">
<figcaption spellcheck="false" data-qb-tmp-id="lt-415377" data-gramm="false">Fig 4) AI only reflects the inputs it gets.</figcaption>
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The strongest warning has always been against leaning on the tools too hard. The old 'garbage in, garbage out' rule still stands.
The software is powerful, but it sits on top of a firm's inputs, its standards, and the judgment of the people running it.
Solorio made the case for foundational knowledge. Junior engineers still need to learn the basics through hand calculations and free-body diagrams so they understand how loads travel and what a structural member is actually doing. Without that, an engineer cannot tell when the AI is wrong.
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"If you put in garbage, you're going to get out garbage, and that's still true with these new programs. If you put in something wrong, it gives you something wrong. You have to know the basics to know when it's giving you wrong information."
&mdash; Simon G. Solorio, President, Solorio Inc.
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Johnson framed the same idea as a sequence. He sees a working AI workflow as a three-tier system.&nbsp;
A firm establishes good internal processes first. Then it introduces standard automations. Only then does it put AI at what he called the tip of the spear. Skip the first two steps and there is nothing solid for the AI to stand on. When a firm's drawing standards and inputs are inconsistent, there is no realistic way to scale an AI workflow on top of them.
<h2 dir="ltr">Own the Output</h2>
Accountability is the other side of this. When an engineer signs off on a design, they own it, whatever tools helped produce it.
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"The motto we live by with AI is own the output. Just because you have a cool tool doesn't mean you get to say that the tool is the reason something was wrong. You own the output."
&mdash; Colton Johnson, Principal Engineer, Flint Engineering Company
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That has a practical edge. Johnson raised data security, pointing out that client information needs to stay protected under NDAs when a firm runs it through a third-party AI platform. Owning the output means owning the data path, too. Before uploading project documents, firms should evaluate the data path and the platform's NDA and security requirements. That is a question to settle before the first project goes up, not after.&nbsp;
<h2 dir="ltr">Built by the People Who Use It</h2>
The panel closed on what actually makes these tools better, and the answer was feedback from the field rather than anything happening in a lab. Solorio and Johnson both pointed to the value of a simple thumbs up or thumbs down on each flagged issue. That input teaches the model the difference between a real problem and an irrelevant false positive, which is the difference between a tool engineers trust and one they learn to ignore.
Because AEC technology moves quickly, the tools that respond to this feedback can change almost daily. Johnson offered an example from a job site. He floated the idea of having the plan checker automatically generate a targeted field observation checklist based on the specific materials and structural elements it found in the drawings. Within hours, the development team had piloted a connection between the plan checker and a site inspection app.
That speed of iteration is the point underneath the whole conversation.
The AI plan review tools that earn a place in AEC workflows will be the ones built and shaped by the people doing the work, not the ones that promise to do the thinking for them. The engineers on this panel were not looking for software to replace their judgment. They were looking for a reviewer that helps them protect it. That is a smaller promise than replacing an engineer, and a far more useful one.
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To learn more about InspectMind AI, visit InspectMind AI's <a href="../../../tools/inspectmind-ai" target="_blank" rel="noopener">page on aec+tech </a>or explore the latest features and request access on the InspectMind AI's <a class="_ymio1r31 _ypr0glyw _zcxs1o36 _mizu194a _1ah3dkaa _ra3xnqa1 _128mdkaa _1cvmnqa1 _4davt94y _4bfu18uv _1hms8stv _ajmmnqa1 _vchhusvi _kqswh2mm _ect4ttxp _syaz13af _1a3b18uv _4fpr8stv _5goinqa1 _f8pj13af _9oik18uv _1bnxglyw _jf4cnqa1 _30l313af _1nrm18uv _c2waglyw _1iohnqa1 _9h8h12zz _10531ra0 _1ien1ra0 _n0fx1ra0 _1vhv17z1" title="https://www.inspectmind.ai/" href="https://www.inspectmind.ai/" target="_blank" rel="noopener" data-renderer-mark="true" data-is-router-link="false" data-testid="link-with-safety">website</a>.
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Editor's Note
<img src="https://aecplustech-files.s3.amazonaws.com/blog/c3806924-0521-483d-b74d-a01f09ed330e.png" alt="Niknaz Aftahi" width="160" height="160">
This article was independently reviewed and edited by Niknaz Aftahi, Founder of AEC+Tech, drawing on InspectMind AI's product documentation, direct conversation with the panel participants, and hands-on knowledge of plan review and QA/QC workflows. Figures drawn from the panel rather than published material were checked before publishing.
&mdash; Niknaz Aftahi, Founder, AEC+Tech
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AI plan review saves hours, but engineers say the real payoff is fewer lawsuits, cleaner permit reviews, and errors caught before they reach the field.

AI Plan Review Isn't About Speed. It's About Staying Out of Court.

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The Next Generation of AECO Innovation: Meet the 2026 Trimble 0-60 Finalists

Learn how Ideate StyleManager, Explorer, and BIMLink reduce Revit inefficiencies with automated QA/QC workflows, cleanup tools, and bulk parameter editing.

How Ideate Software Improves Revit Data Management and QA/QC

In this article, Kestrel Labs explains how AI powered building code compliance can help architects check code directly inside the BIM model, reducing manual review, rework, and permitting delays. The conversation explores how computable building codes, Revit based workflows, and traceable compliance results can support faster design decisions, stronger code confidence, and a more efficient future for AEC permitting.

How Kestrel Labs Is Bringing Code Compliance Inside the BIM Model

<figure class="image"><img src="https://aecplustech-files.s3.amazonaws.com/blog/9198a462-3995-42b2-ad2b-bddb08f3649e.png" alt="Ichi helps architecture teams bring code research earlier into the design process, turning complex compliance questions into faster, cited answers." width="1080">
<figcaption spellcheck="false" data-qb-tmp-id="lt-987372" data-gramm="false">Fig. 1) Ichi helps architecture teams bring code research earlier into the design process, turning complex compliance questions into faster, cited answers.</figcaption>
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We sat down with Chinmayi Suri, Architectural Designer at DGA, and Brandon Levey, Founder and CEO of <a href="https://www.ichiplan.com/" target="_blank" rel="noopener">Ichi</a>, to learn how the two are working at the intersection of architecture and AI to tackle some of the profession's most time-consuming pain points: building code compliance, QA/QC, and the institutional knowledge that disappears when senior staff retire.&nbsp;
On a recent corporate laboratory project, the team at DGA, a Bay Area architecture firm specializing in life sciences and advanced manufacturing facilities, hit a familiar wall. Their mechanical scope carried a $250,000 line item for fire dampers, and the client wanted that cost justified before signing off. The architects suspected the dampers were not actually required by code for this specific occupancy and assembly configuration, but confirming it the usual way meant setting up a meeting, a senior architect pulling code books, cross-referencing amendments, and chasing answers across the firm. On a project already under deadline pressure, the budget question was at risk of being closed out without ever being properly answered.
Instead, they ran the question through Ichi, an AI platform built specifically for navigating building code complexity. Within seconds they had a cited answer from the code confirming the dampers were not required. The line item came out. The client saved $250,000.
While this is a relatively small sum for highly complex projects, this is just a single example and without that quick verification, the money would not have stayed in the project. It would have come out of finishes, or contingency, or somewhere else the team would rather not have touched. That is the part worth paying attention to. Code research used to be a slow, senior-architect-only task that often gets skipped or rushed under deadline pressure. When it stops being slow, it starts shaping budgets in real time.
<h3 dir="ltr">How Manual Code Work Is Costing You</h3>
Code compliance is one of those parts of architectural practice that almost no one celebrates. It is also one of the most expensive parts of the job, in hours if not always in dollars.
Chinmayi Suri, an architectural designer at DGA, works on cGMP pharmaceutical, life science, and manufacturing facilities that often run past 100,000 square feet and carry layered regulatory requirements. She describes the existing process bluntly. Navigating ADA, fire codes, and industry-specific regulations falls on the most senior architects, the ones who have memorized chunks of code over years of repetition. It is institutional knowledge stored in human heads, queried one Slack message or in-person conversation at a time.
That creates two problems. The first is throughput. Senior staff become the bottleneck on every code question, which pulls them away from the design work they were hired to do. The second is timing. Code checking traditionally happens after the design is mostly finished, so compliance issues surface late, when changes are expensive and the schedule is already tight.
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"This stemmed from frustration really. I was sitting on my computer saying this should not take so long, and that's kind of actually where this all started."&nbsp;&mdash; Chinmayi Suri, DGA
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Her original interest in AI tools came out of that frustration, not out of any particular enthusiasm for AI as a concept.
<h3 dir="ltr">Why Generic AI Tools Fall Short</h3>
The obvious question for any architect frustrated with code research is: Can&rsquo;t ChatGPT do the job? The answer, so far, has been no, and the reasons are useful to understand.
Brandon Levey, founder and CEO of Ichi, comes from a 20-year tech background that includes work at a Department of Energy national lab and running R&amp;D teams at Square. He grew up in his father's HVAC and sheet metal business, which is partly why he ended up building software for AEC. He breaks the gap down into three things.
Accuracy on compliance codes has to be very high. Architects stamp their drawings, and a model that produces plausible-sounding language without citing the exact code section is worse than no answer at all. The documents themselves are also unusually large. A spec package can run 6,000 pages. A jurisdiction comment letter can run 60 pages with 300 individual items. General-purpose tools are not built to parse and cross-reference at that scale with any reliability. And, the answers always depend on the context that lives inside the firm: what counts as a standard detail, which assemblies the client has used before, what the senior architect on this project type would flag.
Chinmayi put it more directly. Generic AI tools require the user to already have deep domain knowledge to know what to ask and to verify what comes back. That defeats the purpose. The point of an AI assistant for code work is to lower the barrier, not require an expert to operate it.
<figure class="image"><img src="https://aecplustech-files.s3.amazonaws.com/blog/d43e9371-5c56-45b3-b46b-0264708472ca.png" alt="What Agentic Actually Means Here" width="1080"><canvas class="qb-highlighter__canvas" style="display: none; top: 1px !important; left: 200px !important;" width="47" height="22"></canvas>
<figcaption spellcheck="false" data-qb-tmp-id="lt-193248" data-gramm="false">Fig. 2) Ichi&rsquo;s agent based workflow helps teams organize code review, QA/QC, and consultant coordination tasks in a structured review board.</figcaption>
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<h3 dir="ltr">What Agentic Actually Means Here</h3>
Ichi's product is built around what Brandon calls an agentic approach. The term gets used loosely, so it is worth being specific.
In Ichi's case it means that when users ask Ichi a question they aren&rsquo;t interacting with a single LLM, but rather many different agents that are specialized in specific tasks. This approach helps the platform guide users when they do not know exactly what to ask,check its own work, and complete longer, more complex tasks.
A simple example. An architect asks a question about an auditorium in California. A generic chatbot returns a generic answer. Ichi instead asks clarifying questions about occupancy load and square footage, because those variables fundamentally change which code sections apply. That guided flow matters in code work, where a wrong assumption upstream invalidates everything downstream.
The error-checking piece is more technical but arguably more important.
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"Any type of long-running or long horizon task in AI is going to have errors in it. The way that we evolve through that, a lot of the agentic approaches are by using multiple AI agents to check its work."&nbsp;&mdash; Brandon Levey, founder and CEO, Ichi
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In practice that means when Ichi pulls code references from a 60-page comment letter or runs a feasibility study, separate agents are reviewing the output for inconsistencies and gaps before the architect sees it. That internal cross-check is what makes the difference between a curiosity and something architects will actually put their name on.
Want to hear the full discussion?<a href="https://www.youtube.com/watch?v=rsm_sSv2urI" target="_blank" rel="noopener"> Watch the complete panel conversation with Chinmayi Suri and Brandon Levey on YouTube.&nbsp;</a>
<h3 dir="ltr">Reducing the Work Architects Enjoy Least&nbsp;</h3>
The most concrete value Ichi delivers shows up in the workflows least enjoyed by architects.
Comment letters are the clearest case. When a jurisdiction returns a plan check, the architect's first job is translation: turning a long PDF into a structured spreadsheet that maps each comment to the relevant code reference, assigns it to the right consultant, and drafts an initial response. Brandon described one user who spent five to eight hours turning a 60-page letter with 300 comments into a workable spreadsheet. With Ichi, that drops to around 20 minutes.
Feasibility and zoning studies follow a similar pattern. A study that previously took two to four hours of senior staff time becomes a 20-minute guided workflow, producing an exportable document with code references already in place.
On the documentation side, the savings come less from automation than from triage. Chinmayi pointed to 700-page document sets where the real value is having AI do the first pass, locating where specific notes or drawing discrepancies live. The architect still verifies and decides. They just no longer have to read every line to find the three that matter.
The work that consumes the most time in an architecture firm is rarely the work that draws people into the profession. Cutting hours out of that work is where most firms will see the first real return.
<div><a href="https://www.youtube.com/watch?v=gSKu4e2Qg3s" target="_blank" rel="noopener">Watch Ichi in action: See how the platform supports zoning, design, permitting, and inspections across the full project lifecycle.</a></div>
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<h3 dir="ltr"><iframe style="display: table; margin-left: auto; margin-right: auto; width: 709px; height: 400px;" src="https://www.youtube.com/embed/gSKu4e2Qg3s" width="709" height="400" allowfullscreen="allowfullscreen"></iframe></h3>
<h3 dir="ltr">Capturing the Knowledge Before It Walks Out the Door</h3>
One of the more interesting features in Ichi is what the platform calls Memory. It captures the institutional knowledge of senior staff, the kind of judgment and pattern recognition that takes decades to build and tends to leave the firm when those people retire.
Chinmayi described how the idea took shape at DGA.
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"I wish we could put Mark Davis into a notebook LLM."&nbsp;&mdash; Chinmayi Suri, on DGA principal Mark Davis
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The line is partly a joke about a specific colleague, but it captures something the AEC industry has struggled with for a long time. Knowledge transfer from senior to junior staff is mostly accidental, dependent on proximity, mentorship, and time.
Memory works by ingesting organizational standards, past project notes, and client specifications so the AI's answers reflect the firm's actual way of working, not a generic best practice. DGA has started using it as a training tool, exposing younger architects not just to answers but to the prompts and reasoning senior staff use to get there. The platform already syncs directly with OneDrive and soon will with Google Drive, removing another friction point for firms with messy document storage.
This is also where the security question gets practical. Ichi does not train its models on customer data. For firms handling sensitive client information, particularly in life sciences or government work, that distinction is the difference between adoption and a hard no from legal.
<h3 dir="ltr">The Barriers Are Real, but Shrinking</h3>
Adoption is rarely about whether a tool works. It is about whether a firm can afford the time to find out.
Chinmayi named three barriers: time, trust, and security. Time, because evaluating new software is itself a senior-staff task that competes with billable work. Trust, because architects are personally liable for what they sign. Security, because client data cannot be pasted into a public chatbot.
The trust question tends to dissolve through small wins. Firms that successfully adopt AI usually start with a single project, often a smaller one, and prove the tool against a known answer. Once the output matches what a senior architect would have produced, the conversation shifts from whether the tool is reliable to which workflow it should touch next.
The fear of replacement also fades quickly once people actually use the tools. The intelligent part of the work, as Chinmayi pointed out, still comes from the humans using it. AI takes the repetitive parts. It does not make decisions, and it does not stamp drawings.
<h3 dir="ltr">The New Baseline</h3>
The shift Brandon describes has happened fast. In 2024, the conversation in architecture was still about whether AI was real. By late 2025 it had moved to how to implement it. Firms are now being asked in client interviews and RFP responses what their AI strategy is. Within the next year, not having a clear answer will start to count against firms competing for work.
Chinmayi frames it in the only terms that really matter to working architects.
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"You have to start using it. We have to start thinking about using it in our workflow. It is going to become as prevalent to us at some point as Revit is."&nbsp;&mdash; Chinmayi Suri, DGA
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The shift from hand drafting to CAD took roughly a decade. CAD to BIM took another. Each one looked optional at the start and obvious by the end. The shift now underway, from manual code research to agentic compliance tools, is following the same curve. 
Firms picking up the tools now are buying themselves time to figure out how to use them well before that becomes a job requirement rather than a competitive edge.
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<img src="https://aecplustech-files.s3.amazonaws.com/blog/1de0bf31-afe3-430b-82bc-a14f24bea959.png" alt="niknaz aftahi" width="160" height="160">
Editor's Note
This article is based on an aec+tech Expert Talk, Navigating Code Complexity with AI, featuring Chinmayi Suri of DGA Architects and Brandon Levey of Ichi. The conversation explored why building code review remains one of the most manual and time consuming parts of architectural practice, and how AI can help project teams navigate code requirements, reduce repetitive review work, and make more informed design decisions.
Learn more on Ichi&rsquo;s product page: <a href="../../tools/ichi" target="_blank" rel="noopener">https://www.aecplustech.com/tools/ichi</a>
Watch the full conversation here: <a href="https://www.youtube.com/watch?v=rsm_sSv2urI&amp;t=168s" target="_blank" rel="noopener">https://www.youtube.com/watch?v=rsm_sSv2urI&amp;t=168s</a>
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In this article, we explore how DGA Architects is using Ichi’s agentic AI platform to rethink building code compliance, QA/QC, and time consuming review workflows. Through a recent project example, the article shows how faster, cited code research helped the team remove a $250K fire damper line item and make better decisions earlier. The piece also looks at how AI can capture institutional knowledge, support junior teams, and become a new baseline for architecture firms as client expectations evolve.

How DGA Used Ichi’s Agentic AI to Rethink Code Compliance

Solibri, a Nemetschek Company, is the global leader in model quality, BIM validation, and digital quality assurance for the construction industry. Solibri helps architects, engineers, contractors, owners, infrastructure teams, and public-sector organizations ensure that digital building models are accurate, reliable, and ready for confident decision-making before construction begins.

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With Solibri, project teams can check multidisciplinary BIM models systematically, detect clashes, validate data, review classifications, manage issues, and enforce project or organizational standards. This supports a more reliable model-based process where decisions are made using verified information rather than assumptions. By improving model quality before construction, Solibri helps teams strengthen collaboration, reduce financial exposure, protect schedules, and improve the quality of building information across the entire building lifecycle.

Solibri supports BIM quality assurance from design through long-term operations. 

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Built on openBIM, interoperability, and decades of BIM quality assurance expertise, Solibri integrates into connected digital construction ecosystems and supports collaboration across disciplines, organizations, and project phases. Active in over 100 countries, Solibri serves construction developers, infrastructure projects, design and engineering teams, contractors, owners, and public authorities working with digital permitting and model-based project delivery.

By raising the standard for model quality and information reliability in BIM, Solibri helps the construction industry move from reactive issue resolution to proactive quality assurance. Solibri enables teams to reduce rework, improve collaboration, ensure compliance, and deliver better buildings and infrastructure through trusted digital models. 

Solibri

Solibri is a Nemetschek Company and the global leader in BIM model validation and digital construction quality assurance, helping project teams reduce rework, ensure compliance, and deliver better buildings through trusted digital models.

Unanet Company Overview

Unanet is a leading provider of AI-first ERP and growth software for project-based businesses, with a strong focus on architecture, engineering, and construction firms. Built specifically for the way AEC companies operate, Unanet helps organizations manage the full lifecycle of work — from business development and client relationships to project delivery, financial management, and long-term growth.

Built for the Way AEC Firms Work

AEC firms face a unique set of challenges. They need to balance project delivery, staffing, utilization, profitability, client relationships, and business development — often across multiple systems that do not work well together. Unanet is designed to solve that problem by giving firms a purpose-built platform that connects the critical parts of the business in one place.

Rather than forcing AEC companies to adapt to generic enterprise software, Unanet delivers technology tailored to the realities of project-based work. That means better visibility, stronger collaboration, and faster decision-making across teams.

One Connected Platform for Better Visibility

Unanet helps unify financials, projects, and pursuits in a single intelligent environment. With built-in automation and real-time visibility, leaders can monitor project performance, understand resource needs, track profitability, and make informed decisions using current data instead of outdated reports or manual spreadsheets.

For AEC firms, this kind of connectivity matters. Margins, timelines, staffing levels, and client expectations are tightly linked, and even small gaps in visibility can affect performance. By bringing essential business functions together, Unanet helps firms operate more efficiently while creating a stronger foundation for growth.

ERP Designed for Project-Based Operations

A major part of Unanet’s AEC offering is its ERP solution for architecture and engineering firms. The platform is built to support the operational and financial needs of project-based organizations through capabilities that help teams manage:

Prospects and project pipelines
Active projects and resource plans
Time and expense tracking
Accounting and financials
Reporting and analytics

The result is a shared source of truth for project managers, finance leaders, and business development teams. Instead of working in silos, teams can align around the same data to improve planning, execution, and profitability. For firms looking to gain tighter control over utilization, staffing, and project-based accounting without adding unnecessary complexity, Unanet provides a modern, easy-to-use solution.

CRM That Supports Growth

In addition to ERP, Unanet offers CRM capabilities built specifically for the AEC market. Its CRM platform is designed to help firms strengthen relationship management, improve pipeline visibility, and support more strategic pursuit decisions.

For marketing and business development teams, this means easier access to the client, project, and opportunity data needed to create stronger proposals and presentations. For firm leaders, it means better insight into where opportunities are coming from, how relationships are developing, and which pursuits are most likely to drive profitable growth.

Practical AI for Smarter Decisions

Unanet’s position in the market is also shaped by its focus on AI and smart technology. The company’s AI-first approach is centered on practical automation, faster insights, and better business decisions. For AEC firms, that is especially relevant in an environment where teams are expected to do more with fewer resources while maintaining high standards for delivery and performance.

Rather than treating AI as a standalone add-on, Unanet presents it as a layer of intelligence built into the way the business works. This helps teams streamline tasks, improve forecasting, and focus more time on high-value work across project delivery, marketing, finance, and operations.

Trusted by Thousands of Project-Driven Firms

Unanet’s scale reinforces its position as a trusted technology partner. The company states that more than 4,200 government contractor, architecture, engineering, and construction firms rely on Unanet to help manage projects, financials, and growth. In addition to software, Unanet emphasizes customer success, training, integrations, and related services that support firms through implementation, adoption, and long-term improvement.

Supporting the Future of AEC

At its core, Unanet is focused on helping project-based businesses unlock productivity and perform at a higher level. That mission aligns closely with the AEC industry, where firms are responsible for designing, engineering, and building the environments that shape communities and industries.

Overall, Unanet positions itself as more than a software provider. It is a strategic partner for AEC firms that want connected systems, stronger operational visibility, smarter growth tools, and technology built specifically for the demands of project-based business.

Unanet

Unanet is an AI-first ERP and CRM platform purpose-built for government contractors and architecture, engineering, and construction firms. It unifies project management, financials, resource planning, and business development in one system.



Empowering the Built World Through Technology, Expertise, and Innovation

With more than three decades of innovation and a global footprint spanning 13 countries, Graitec stands as a recognized leader in software solutions that accelerate digital transformation for the Architecture, Engineering, Construction (AEC), and Manufacturing industries. Since its founding, Graitec has remained focused on empowering firms to design, build, manufacture, and operate more efficiently through advanced digital workflows, automation, and intelligent data-driven tools.

As a long-standing Autodesk Platinum Partner—and one of the largest Autodesk partners globally—Graitec delivers industry-leading software, consulting expertise, and technical support to help teams maximize their investments in Autodesk solutions such as Revit, Autodesk Construction Cloud, AutoCAD, Inventor, Fusion, and Civil 3D. Through comprehensive implementation services, training programs, workflow optimization, and digital advisory, Graitec helps organizations adopt and scale technology with confidence.

Over the past decade, Graitec has evolved from a regional Autodesk reseller to a global technology and innovation leader. A defining part of this expansion has been strategic acquisitions, including Microsol Resources in New York—known for its deep BIM expertise and high-touch client engagement—and Applied Software, a premier Autodesk reseller based in Atlanta. Today, both companies operate under the unified identity of Graitec North America, delivering the combined capabilities of a global organization with the personalized service of a trusted local partner.

Innovation sits at the core of Graitec’s strategy. With a team of more than 200 in-house developers, the company continuously advances its growing portfolio of proprietary technologies designed to complement, enhance, and extend Autodesk and industry workflows. Graitec’s ecosystem of solutions includes:

Ideate Software – A suite of Revit plugins used globally to improve model health, auditing, and productivity.

Strucsoft MWF and Onyx – Industry-leading software for wood and light gauge steel framing workflows, supporting both design and fabrication.

Advance Design – A powerful structural analysis and design platform for reinforced concrete, steel, and timber.

Advance Workshop – A steel and sheet metal fabrication management solution connecting design and manufacturing.

Graitec Data Connect – A platform enabling secure data transfer, automation, and system interoperability within Autodesk and BIM environments.

Together, this portfolio enables greater automation, standardization, and efficiency across every project stage—from concept design and engineering through prefabrication, digital coordination, construction, and facility operations.

What sets Graitec apart is its unique position at the intersection of technology development and expert professional services. Our teams include architects, engineers, fabrication specialists, BIM/VDC managers, and manufacturing technologists—professionals who understand industry challenges because they have worked through them firsthand. This alignment of real-world experience and technical capability enables Graitec to deliver actionable guidance, not just software.

Today, organizations across North America and Europe rely on Graitec as a strategic partner for digital transformation. Whether supporting a single office adopting BIM workflows or a global enterprise scaling connected cloud technology and industrialized construction practices, Graitec delivers proven solutions that improve productivity, reduce risk, and support long-term sustainability goals.

As the AEC and manufacturing sectors continue to evolve—driven by digital twins, artificial intelligence, robotics, and sustainable construction—Graitec remains committed to helping the industry build a smarter, more efficient, and more resilient future.

Applied Software Technology, Graitec

Graitec is a global AEC and manufacturing software leader, and an Autodesk and Bluebeam Platinum Partner. With operations in 13 countries and strategic acquisitions across North America—including Applied Software and Microsol Resources—Graitec delivers expert services and innovative tools that empower professionals to design, build, and collaborate smarter and faster.

Pirros is the AI project hub for architects and engineers. Our mission is simple: make managing projects easier for firms. We learned that we can reduce the burden of producing hundreds of details per project by giving designers instant access to everything their firm has developed in the past. Rather than spending hours digging through cluttered folders on a server or rebuilding details that already exist somewhere in the archive, Pirros centralizes every detail a firm has produced and makes them accessible with a simple search.

Pirros was started by two structural engineers turned entrepreneurs. Ari and Peter spent time at a handful of different design firms and kept experiencing the same problems when it came to detail management and retrieval. They watched experienced designers waste hours hunting for content the firm had already paid to produce, and they watched institutional knowledge walk out the door every time someone left. The technology industry has overlooked the AE design space and the strategic importance of details to a firm's success. Pirros is on a mission to change that.

With unified data and context across projects and teams, plus built-in quality control, Pirros reduces documentation production time and downstream RFI risks so teams can focus on craftsmanship rather than operations. The platform grows more valuable the longer a firm uses it. Every new project feeds the system. Every search, every approval, every reuse makes the next decision faster and more informed. Standards stop being a static PDF that nobody reads and start being a living library teams actually rely on. Mistakes caught in one office benefit every other office, and new hires ramp up faster because the firm's best work is visible from day one.

The four pillars of Pirros:

1. No upfront work. Upload and instantly search across projects without the upfront effort of manual tagging or naming conventions. Powered by a direct ACC integration, firms get tens of thousands of details and families onto Pirros within 24 hours. There is no months-long curation effort before the platform starts producing value.

2. Search by composition, not tag. Find details and families based on what the element actually is, not what its tags say. Powered by a proprietary blend of AI, computer vision, and OCR, Pirros indexes content by geometry, annotations, parameters, and visual composition. A designer searching for "curtain wall head" finds the right detail regardless of how it was named.

3. Share universally. Share Revit details and families as universal PDFs with colleagues and partners outside of Revit, accelerating collaboration, content approvals, and new hire onboarding. The platform extends beyond the BIM team to consultants, contractors, and anyone else who needs to review or comment on a detail.

4. Built-in QA workflows. Review and approve standard content that is automatically surfaced based on analytics across projects. Approval workflows are built into the platform instead of relying on committee reviews and email chains. Standards evolve where the work happens.

Pirros is backed by Y Combinator, SOC 2 certified, and trusted by leading architecture and engineering firms across North America, Australia, and the UK.

Pirros

Pirros is the AI project hub for architects and engineers. Find, compare, reuse and standardize Revit details and families across every project, team and office.

Company Overview

Flying Buttress is a specialized managed services provider serving architecture, engineering, and construction firms that rely on complex workflows, high-performance computing, and collaboration across distributed teams. Founded in 2010, the firm was built to address a gap in the market: AED organizations often outgrow generic IT providers but struggle to find partners who understand the operational realities of design and delivery environments.

Rather than positioning itself as a generalist IT vendor, Flying Buttress operates as a vertical-focused technology partner. The company’s work centers on aligning infrastructure, security, and systems architecture with the business objectives of leadership teams. Clients typically engage Flying Buttress when they need more than technical support — they need strategic guidance that supports growth, resilience, and modernization.

Vertical Specialization

Flying Buttress focuses specifically on the AED (Architects/Engineers/Designers) sector, which brings unique demands: large file performance, collaboration platforms, hybrid work environments, data governance, compliance considerations, and uptime requirements tied directly to project delivery. The firm’s specialization enables it to design solutions around tools such as CAD/BIM platforms, rendering workloads, document management systems, and cross-office collaboration models rather than forcing AED firms into generic IT templates.

This vertical depth allows Flying Buttress to speak the language of firm principals, operations leaders, and executive teams — not just IT managers.

Services and Capabilities

Flying Buttress delivers a comprehensive range of services designed for professional services firms that depend on reliable technology:

Managed IT services and infrastructure oversight

Cybersecurity strategy, implementation, and risk reduction

Cloud and hybrid architecture design

Strategic technology advisory for leadership teams

Business continuity and disaster recovery planning

Compliance-aligned security practices

Systems optimization for design and collaboration workflows

The firm emphasizes proactive management and long-term alignment rather than reactive support. Client engagements are typically structured as a joint effort rather than transactional vendor relationships.

Strategic Orientation

A defining characteristic of Flying Buttress is its emphasis on executive-level thinking. The firm’s approach treats technology as a business enabler, not merely a utility. This includes:

Translating technical risks into business risk

Supporting leadership decision-making around growth, mergers, and operational scale

Helping firms modernize legacy environments without disrupting productivity

Prioritizing resilience, security posture, and operational maturity

This orientation makes Flying Buttress particularly relevant to firm owners, managing partners, and C-suite leaders who view technology as part of their competitive advantage.

Reputation and Client Relationships

Flying Buttress has built its reputation through long-term client relationships rather than high-volume churn. Clients tend to stay engaged because the firm demonstrates a clear understanding of their industry, their workflows, and their strategic pressures. The company’s growth has been driven primarily through reputation, referrals, and repeat engagements.

Leadership and Perspective

Flying Buttress’s leadership brings both technical experience and a broader intellectual perspective to the firm’s work. This informs Flying Buttress’s positioning not just as a technical provider, but as a thoughtful participant in conversations about the future of work, professional services, technology ethics, and digital transformation.

Market Position

Flying Buttress occupies a deliberate niche:
Not a mass-market MSP.
Not a commodity helpdesk provider.
But a focused, specialized technology partner for AED firms that need depth, not volume.

This positioning allows us to compete on expertise, clarity, and trust rather than price compression.

Flying Buttress

Flying Buttress is an AEC-focused MSP providing managed IT, cybersecurity, and executive-level technology strategy for firms that need their infrastructure to support real-world design and delivery demands

Vavetek AI is a SAAS startup, developing AI co-pilots to help building developers and turnkey contractors to audit and optimize the design of principal engineer at super fast speed to save cost of construction within deadlines.

Our first product, BAMROC, is a patent-protected AI-Copilot that automatically resolves and removes clashes in BIM. BAMROC has already attracted interest from many of the largest global engineering and construction firms.

BAMROC, is 11x faster than manual BIM methods for clash resolution and offer up to 500% ROI in direct manpower savings. It helps principal architects resolve clashes, optimize building height and remove space wastage, leading to major savings in construction costs.

Beyond speed, BAMROC is designed to help principal architects and engineers achieve better design outcomes. The AI does not simply “push elements out of the way”; it resolves clashes while considering building height, space usage, and routing efficiency. This leads to reduced space wastage, more efficient ceiling voids, and opportunities to optimize building height and construction costs without compromising core design intent. BAMROC becomes a true co-pilot: it suggests and executes clash-free, system-aware design changes, while the human expert remains in full control of approvals.

To support the full clash workflow, Vavetek AI offers two additional products:

BAMDOC is an advanced BIM plugin focused on seamless MEP clash detection. It delivers high-quality detection with automated report generation and an intuitive user experience. BAMDOC is built for BIM coordinators and engineers who want reliable, repeatable clash results with less manual setup and post-processing.

CRDR BIM is a streamlined Navisworks plugin that simplifies the creation of Clash Resolution Diagnosis Reports. It turns raw clash data into structured, easy-to-understand reports that clearly communicate which clashes matter, how they can be resolved, and what the impact is on design coordination. This is especially useful for project teams that need consistent documentation for clients, consultants, and contractors.

Together, BAMDOC (detect), BAMROC (resolve), and CRDR BIM (report) form an integrated AI-powered workflow that addresses the end-to-end lifecycle of BIM clashes, from detection to resolution to communication.

Vavetek AI is a global pioneer headquartered in Singapore, transforming the construction landscape through advanced AI technology.

We deliver AI-powered solutions that redefine building design from the ground up. Our reach spans continents, ensuring that wherever you are, you have access to cutting-edge tools designed audit building designs, optimize efficiency, enhance sustainability, and improve user comfort.

BAMROC is just the first step in this roadmap. Vavetek AI is now building on this foundation with a focused roadmap of three additional AI co-pilots. The company plans to capitalize on large global opportunities in value engineering to further save cost of construction across multiple disciplines:

AI Copilot for Global Structure Design Optimization and Audit
AI Copilot for Global Air Conditioning Design Optimization and Audit
AI Copilot for Global Façade Design Optimization and Audit

Our vision at Vavetek AI is to build the most trusted AI co-pilots for the built environment, auditing, optimizing, and automating workflows from design review and clash resolution to reporting and compliance, so projects are on-time, lean, and waste-free.

Vavetek AI

Vavetek AI is a SAAS startup, developing AI co-pilots to help building developers and turnkey contractors to audit and optimize the design of principal engineer at super fast speed to save cost of construction within deadlines.

ConstructAI: Automating BIM Modeling with Agentic AI

*Company Overview
ConstructAI is an Austin, Texas-based construction technology startup transforming how enterprise general contractors and construction firms manage Building Information Modeling (BIM) workflows. We automate BIM modeling with agentic AI, converting 2D PDF structural drawings into LOD 350 native Revit models with complete rebar detailing—eliminating the manual work that consumes days of preconstruction and VDC team bandwidth. Founded by a 4x entrepreneur CEO and an architect with Applied AI expertise, ConstructAI addresses a $5–7B market pain point: the labor-intensive conversion of architectural and structural documents into construction-ready BIM models. Our platform uses advanced machine learning and agentic AI workflows to process structural PDFs end-to-end, outputting native Revit files that are immediately usable by design coordination, fabrication, and construction teams.

*The Problem We Solve
Enterprise general contractors and construction firms face a critical bottleneck in their preconstruction workflow. When a project begins, structural and architectural drawings arrive as 2D PDFs—the same format they've been delivered in for decades. Converting these PDFs into actionable 3D BIM models remains a largely manual process, requiring skilled BIM modelers to:
--Manually trace or interpret 2D drawings in Revit
--Input structural specifications, rebar detailing, and material properties
--Validate model accuracy against source documents
--Iterate through revisions as drawings change
For large contractors managing hundreds of projects annually, this process consumes thousands of hours and delays the start of critical path activities like fabrication planning, cost estimation, and logistics coordination. A typical structural drawing package can require 40–80+ hours of manual BIM modeling labor—a cost that compounds across a contractor's portfolio.
ConstructAI eliminates this bottleneck. Our agentic AI system ingests structural PDFs and outputs LOD 350 Revit models with full rebar detailing in hours instead of days, reducing modeling labor by 50–70% while maintaining the precision required for fabrication and construction.

*Our Solution: LOD 350 Revit Automation
ConstructAI's core product converts 2D structural drawings into native Revit models at LOD 350 (Level of Detail 350)—the industry standard for fabrication-ready models. Our output includes:
--Complete structural geometry captured from 2D PDFs with high fidelity
--Full rebar detailing including bar schedules, reinforcement patterns, and specifications
--Material properties and structural parameters embedded in the model
--Native Revit format (2025/2026 compatibility) enabling immediate integration into VDC workflows
--Construction-ready output reducing time to fabrication planning and shop drawings

*Quantifiable Benefits by Use Case
--For Preconstruction and VDC Teams
    - Time Recapture at Scale: A 200-sheet structural drawing package traditionally requires 80+ hours of manual BIM modeling. ConstructAI processes the same package in a few hours, with full LOD 350 fidelity and rebar detailing. For a contractor managing 100+ projects annually, this translates to 4,000–8,000 hours recovered—the equivalent of 2–4 dedicated full-time BIM modelers. Teams no longer face the bottleneck of manual tracing; instead, they receive fabrication-ready models immediately upon drawing receipt.
    - Direct Cost Reduction: At fully-loaded BIM modeler rates ($65–85/hour), labor savings range from $2,600–$6,800 per project. A contractor with 200 annual projects recovers $520K–$1.36M in direct labor costs annually. When factored into project margins, this savings compounds—enabling price competitiveness, faster bids, and improved profitability.
    - Reduced Rework and Coordination Errors: Manual BIM modeling introduces 10–15% error rates due to interpretation variability, drawing ambiguity, and manual data entry mistakes. ConstructAI's agentic AI applies consistent logic, automated quality checks, and validation against source drawings, reducing downstream rework and coordination clashes by up to 40%. This translates to fewer design coordination meetings, faster RFI resolution, and fewer field surprises.
    - Accelerated Project Timeline: By compressing the modeling phase from weeks to days, contractors unlock parallel work streams earlier: Construction planning begins 2–3 weeks sooner. Cost estimates are finalized faster, improving bid accuracy. Long-lead procurement windows open earlier, reducing supply chain risk. Field crews receive logistics plans and staging schedules weeks in advance.
For time-sensitive projects (retail openings, facility expansions with hard deadlines), this acceleration can mean the difference between schedule compliance and costly delays.

-- For Fabricators and Shop Crews
ConstructAI's LOD 350 output includes complete rebar schedules, bar bending diagrams, and material specifications—eliminating the need for fabricators to re-interpret structural drawings or request clarification from the design team. Fabricators receive machine-readable Revit models that integrate directly into fabrication management systems (FMS), reducing lead times by 5–10% and cutting manual data entry errors by 60%. For a fabrication shop processing 50+ projects monthly, this means faster order turnover, fewer customer inquiries for clarification, and improved on-time delivery rates.
--For Cost Estimators and Bid Teams
Faster, more accurate structural models enable cost estimators to build comprehensive, detailed estimates 20–30% faster. Rather than waiting for manual BIM models or relying on incomplete drawings, estimators work from LOD 350 models with embedded material properties, enabling material quantity take-offs (QTO) to be automated and precise. This reduces bid cycle time and improves estimate accuracy, leading to tighter bid windows and fewer bid disputes post-award.
--For Enterprise Portfolio Management
Large GCs managing 500+ projects annually face a portfolio-wide problem: inconsistent BIM quality, delayed preconstruction workflows, and variable project-start timelines. ConstructAI standardizes the preconstruction process across the portfolio. All projects receive consistent-quality LOD 350 models within 24–48 hours of drawing receipt, enabling predictable, repeatable workflows that reduce variability and improve KPIs across the entire organization.
This standardization also enables data analytics at the portfolio level: modeling time per sheet type, cost per project, and resource allocation patterns become visible and optimizable.

*Technology: Agentic AI for Construction
ConstructAI's proprietary agentic AI system combines:
--Advanced vision and document understanding to interpret complex 2D structural drawings
--Construction domain knowledge trained on thousands of labeled PDF-to-Revit datasets
--Iterative refinement workflows that validate output against source documents and apply quality checks
--Native Revit API integration ensuring output compatibility and parameterization
Our data moat—a continuously expanding library of proprietary, labeled construction drawings—enables rapid adaptation to new drawing standards, structural types, and contractor workflows. The more projects we process, the more capable our models become.

*Team and Expertise
- Pedro (CEO & Co-Founder): 4x founder with a proven track record in construction technology and real estate innovation. His prior exit, AdondeVivir (acquired by QuintoAndar—Latin America's largest proptech unicorn), established his expertise in scaling technology within the construction and real estate sectors. Holds an MBA from IESE Business School and has participated in premier accelerator programs including Blackbox Connect, Startup Grind, and Latitud Fellowship. Pedro brings deep enterprise sales experience, having closed deals with Fortune 500 contractors and global real estate firms. His background spans both business strategy and hands-on execution in early-stage ventures navigating complex, regulated construction markets.
- Fernando (CTO & Co-Founder): Licensed architect with a Master's degree in Applied AI (summa cum laude), providing rare dual expertise in construction domain knowledge and machine learning. Fernando is the creator of ConstructAI's viral LinkedIn demonstration showcasing live PDF-to-Revit conversion (55K+ impressions, 25K+ views). His architectural background enables deep understanding of drawing standards, structural specifications, and construction workflows—critical context for training effective AI models. Fernando leads the technical vision, responsible for building the proprietary agentic AI system, the data pipeline, and the Revit integration layer. His combination of construction domain expertise and AI/ML rigor is rare in the industry.
- William (VP Engineering): Brings startup infrastructure and scalability expertise as a YC W22 alum Founder and CTO. William leads technical architecture, engineering operations, and product development. His experience building scalable systems in fast-growing startups ensures ConstructAI's platform can handle the volume and complexity of enterprise contractors' workloads. William's track record includes shipping products, scaling teams, and maintaining code quality under growth pressure—essential for a venture-backed construction tech company navigating rapid customer acquisition.

*Vision: Reshaping Construction Preconstruction
- ConstructAI's long-term vision is to eliminate manual BIM modeling as a bottleneck in construction preconstruction workflows. By automating the repetitive, labor-intensive work of converting drawings into models, we free construction teams to focus on what they do best: planning, problem-solving, and building.
In the next 5 years, ConstructAI will expand beyond structural concrete to cover architectural interiors, MEP systems, and other structural types—broadening our addressable market and deepening our moat with construction-specific AI expertise.

*ConstructAI: Bringing certainty earlier to the construction industry.

ConstructAI

We automate BIM modeling with agentic AI. ConstructAI converts 2D PDF structural drawings into LOD 350 native Revit models with full rebar detailing—fabrication-ready. Save enterprise GCs 80% modeling time.

Founded in New York City in 2001, Agile Networks has spent over two decades working with exactly one type of client: architecture firms. That exclusivity is our operating model. Most IT providers treat architecture as one vertical among many, handling hardware, software, and consultants as separate, disconnected line items. Agile Networks treats them as one interconnected system, because architecture is the only system it works inside.

Why architecture-only matters
A generalist IT firm might service law offices, medical practices, and architecture firms in the same week, applying the same playbook to all three. Agile Networks doesn't have that option, by design:

Every client is an architecture firm, so every engagement builds on the same base of institutional knowledge instead of starting over.
Hardware, software, services, and outside consultants are understood as one connected chain, not four separate vendor relationships.
Decisions get made with full context on how design teams actually work, not a generic IT framework retrofitted onto the profession.

Services and capabilities
Agile Networks pairs day-to-day infrastructure management with higher-level guidance that most firms can't get from a standard IT vendor:

Managed IT infrastructure and network support
Cybersecurity strategy and risk reduction
Executive-level technology strategy and advisory
Software and tool evaluation, selection, and adoption guidance
Workflow-aligned technology planning across hardware, software, and outside consultants

The firm's footprint runs the Northeast corridor, from New York down through the Atlantic states, with additional clients outside that geography.

A reciprocal loop, not a one-way service:
What separates Agile Networks from a standard MSP is how its advice gets formed. Instead of recommending tools based on vendor relationships or industry buzz, the firm treats its client base as a live feedback loop:

Lessons from one firm's rollout, both what worked well and the speed bumps along the way, get turned into an accelerant for the next: proven approaches move faster, and known friction points get solved before they repeat.
That loop runs in real time, not on an annual review cycle, so recommendations reflect what's currently working in practice, not what worked two years ago.
Because every client is an architecture firm, the patterns Agile Networks sees are directly transferable, rather than diluted by unrelated industries.

This is the mechanism behind the "informed by real-time patterns across real firms" line: it's not a slogan, it's a description of how the guidance actually gets built.

Forecasting most generalists can't do

Because Agile Networks is embedded exclusively in architecture practices, it sees adoption patterns, pain points, and emerging tool categories before they hit the broader market conversation. A generalist IT firm serving a handful of architecture clients alongside other industries doesn't have the density of exposure to spot these shifts early. Agile Networks does, and uses that position to help firm leadership make forward-looking decisions rather than reactive ones.
How Agile Networks positions itself

Not a generalist MSP that happens to have architecture clients.
Not a software vendor pushing a single product.
A technology partner whose only frame of reference is architecture, working at the intersection of infrastructure, security, and executive strategy.

This is the kind of firm that gets engaged when leadership wants a technology decision made with real depth, not another vendor pitch.

Agile Networks

Architecture is our only client since 2001. IT infrastructure, Cybersecurity, Executive-level strategy and Technology Forecasting, informed by real-time patterns across real firms.

We are a national interdisciplinary design firm rooted in architecture and engineering. We believe that the best design results from deep insight into the people and passions that animate each unique environment. Our 1,200 people in offices from coast-to-coast work to make a positive, lasting impact for clients in healthcare, arts and culture, community, corporate, education, government, science and technology, and energy markets. 

HGA employs a holistic, research-based approach to design. Our work is always built upon a foundation of deep, penetrating insight into client needs; it is fueled by empathy, curiosity, and our resolve to deliver the extraordinary. We are driven to understand broad social and technological developments and market-specific challenges, and to delve deeply into our clients’ organizations. In addition to the insight from our design teams, our unique collective of in-house specialists—process engineers, design thinking specialists, evidence-based researchers, and others—work together to help us understand what is critical to the quality of our clients’ work, and thus to ours. On this foundation of fresh understanding, we help clients create purposeful design with an enduring impact.

As a multidisciplinary design firm, we are uniquely adept at working together to create holistic solutions. Our team-based process encourages vital knowledge sharing, allowing the diversity of a project’s needs to be integrated early on. This results in a more powerful, efficient process, a better design experience, and a higher-performing, more purposeful, and more enduring solution for our clients.
Research is foundational to our work and philosophy. It is a fundamental link between the curiosity that propels us to dig deeper and the knowledge that enables us to help our clients and communities to thrive. The scope of our research work is broad—from the innovations that will drive our clients’ future business to the technological and social changes that will enable unique and inspiring design solutions. We also aim to learn from individual projects through leveraging technology, data collection, and ethnography—to inform the next project and translate into the next great idea. 

We are national leaders in Lean and Integrated Project Delivery for healthcare clients; we have had significant success in design-build projects for higher education; and we have built incredibly strong relationships with developers who lead projects for workplace. Regardless of process, early involvement of owners, design teams, contractors, and users is paramount to developing solutions suited to each client.
Technology elevates our understanding of decisions made during the design phase and the ultimate impact they have on the built environment. HGA has long been a leader in the use of in BIM, Computation, Visualization, and Fabrication, and has continued to innovate by not only developing new technologies to explore and analyze building information, but also to build empathy for all those who inhabit the spaces we design. Our Digital Practice Group is committed to utilizing pioneering technology and is a trailblazer in its implementation to make a positive impact.

Sustainability is at the heart of our holistic design approach and guides us as we shape our future. We aim for every project to be a commitment to a healthier planet, incorporating decarbonization, healthy communities, and/or climate adaptation goals. Explore our projects, commitments, and recognition. With more than 70 years of experience as an interdisciplinary design firm, we have developed an integrated approach to our work. Teams collaborate across disciplines to consider environmental impact and resilience, setting ambitious yet achievable goals. Our high-performance projects, industry commitments, and collected metrics are evidence: we have the knowledge and tools to design for mitigation and adaptation. With vision and strategy, we have made progress toward aligning our internal structure to position our company and clients to create the greatest possible impact. 

As we build physical environments that are sustainable and resilient, we are also building relationships with other leaders and changemakers in the form of clients, employees, and partners.
Equity is a living, breathing part of HGA—woven into the fabric of our culture, it is reflected in our work, our people, and our strategy. Great design is equitable design: fueled by curiosity, informed by diverse perspectives, and elevated by insight directly from those who inhabit our spaces. Our Community Action program makes design accessible to nonprofits and community organizations that lack access to professional services. 

Florida State University - Interdisciplinary Research & Commercialization Building

HGA is a national interdisciplinary design firm rooted in architecture and engineering. 

Vision 
To create and provide innovative solutions that inspire and empower designers and engineers to create and produce a better world.
Mission 
Symetri enables businesses to gain a competitive advantage by using leading edge technologies and solutions to improve performance.
Purpose Why does Symetri exist
We challenge people to work smarter for a better future.

Strategic positioning
Symetri’s leading edge technologies and industry experts enable businesses to accelerate their digital transformations to work smarter for a better future.

Brand promise
Symetri provides and creates technology solutions that empower design, engineering, construction and production businesses to accelerate digital transformation, improve performance and gain a competitive advantage
BUSINESS VALUE WE DELIVER
We challenge people to work smarter for a better future. 
Attributes
•	APPROACHABLE
We get to know our customers by listening to and understanding their business challenges and providing the right solutions. We are accessible, inclusive and welcome new opportunities and ideas. 
•	KNOWLEDGEABLE
We are industry leaders and can provide expert guidance and support during every interaction. We substantiate our messaging and advice with facts, figures and our experience whenever possible.
•	INSPIRING
We are a dynamic organisation which seeks to inspire our employees, partners, customers, and customers’ customers. We empower our customers to stay competitive in their markets by providing them with best practices to work smarter.
•	AUTHENTIC
We remove unnecessary information and communicate in a clear and relatable way. We save our customers’ time and give them the advice and facts they need to make better decisions. 

Core Capabilities/Cornerstones
•	LEADING-EDGE TECHNOLOGY
Symetri’s technologies allow businesses to work smarter and more competitively. Our software saves time and resources by optimising processes used in design, engineering and related industries. We proactively develop our own technologies when they make a difference and add real business value, and partner with leading technology vendors when it makes sense. 
•	KNOWLEDGE & EXPERTISE
Symetri’s international network of experts collaborates across borders to ensure every one of our customers has access to the competencies they need – when they need it. We maintain a local presence while having a global mindset. We understand the challenges of the industries we serve and use that knowledge to deliver efficient solutions. 
•	WORK SMARTER
Symetri is constantly challenging our customers - and ourselves - to work smarter. We use our innovative thinking and passion for technology to save time, resources, and downtime. We listen to our customers and develop products and services that solve their challenges and deliver value.
•	TRUSTED PARTNER
Symetri’s experts partner with businesses to help them reach new heights. We enable companies to thrive with our relentless dedication to their success. We inspire them with our market knowledge and the exciting opportunities that our technology and services provide. 
Symetri Story
Symetri creates and provides technology solutions and services for design, engineering, construction and manufacturing businesses. We empower people to work smarter for a better future by ensuring they have access to the expertise and technology they need to improve their performance and sustainability. We build long-term relationships with our customers and save their business resources by making technology easier to implement and use.

Sustainability Initiative
At Symetri, we are always looking for new ways to improve energy-efficiency and reduce carbon emissions. Our research has given us insights into how we can empower businesses to make more informed decisions about the impact their choices have on the environment - enabling us to create a better future for everyone together.


Symetri

We empower you with expertise, leading edge technology and services
We work with you to tailor digital BIM, product design and lifecycle solutions to help you work smarter and do more with less.
That’s why our partnerships are long lasting.

Lagarsoft is an AEC software development company headquartered in Montevideo, Uruguay, building production-grade software for the Architecture, Engineering, Construction, Real Estate, and Property Tech industries. Founded in 2019 by senior engineers out of CASE Inc. and WeWork, the team brings more than a decade of experience shipping software inside the built environment, combining backgrounds in architecture, real estate, data analysis, automation, software development, and agile management. 

Lagarsoft operates as a US company that is Uruguay-based and globally distributed, with senior engineers and architects working together across the Americas.

The company's origin gives it a distinctive perspective. Its founders first met at CASE, a global Building Information Modeling consultancy that pioneered the idea that "buildings = data," using technology to reshape how architecture and construction teams worked. After CASE was acquired by WeWork, the team helped build software to manage WeWork's massive real estate portfolio. When WeWork closed its Uruguay office, the team chose to continue that vision independently, founding Lagarsoft to bring data-driven, agile software solutions to AEC firms worldwide.

Lagarsoft is an Autodesk Platform Services (APS) Certified Partner. The company designs and ships custom Autodesk software on APS, including Viewer integrations, Model Derivative pipelines, Data Exchange flows, Design Automation jobs, and AEC Data Model queries running in production. It also builds custom Revit plugins that extend the native toolset, automate repetitive tasks, and bridge Revit to the rest of the technology stack so that the model is not the end of the line. Output flows into web viewers, dashboards, generative design platforms, and field tooling. Beyond the Autodesk ecosystem, the same engineering bench handles broader custom AEC software development, from systems coordination and clash detection tooling to portfolio platforms and investor dashboards.
Engineering rigor is central to Lagarsoft's positioning. The company emphasizes production readiness: authentication, secrets handling, dependency hygiene, and audit trails as a baseline, with CI, observability, and a clear rollback path in place before the first deploy. The team favors reliable, well-understood infrastructure such as databases, queues, and caches that hold up under real production load. Increasingly, Lagarsoft helps industrial, manufacturing, AEC, and logistics companies take AI-built applications to production, layering senior engineering discipline around modern AI tooling.

Engagements typically begin with a Build Audit, a focused working session with senior engineers followed by a concise one-page memo delivered within forty-eight hours. From there, work continues as an Embedded Pod: senior engineers operating on a sprint cadence with scoped work and transparent management, adjusted as it unfolds and shaped by what is actually shipping. The company also offers consulting, where it reads the codebase, reviews deploys, and identifies where existing systems are fragile, mapping current processes and technologies against what production-grade looks like for the size and risk of the business.

Lagarsoft's core competencies span BIM, AECO, APIs, Revit, mobile and web development, machine learning, and data analysis. By pairing deep domain knowledge of the built environment with senior software engineering, Lagarsoft helps teams across architecture, engineering, construction, MEP, and real estate get more done with software that performs reliably in real-world production conditions.

Lagarsoft

We are engineers with a background in architecture, real estate, data analysis, automation, software development, and agile management. We have spent the last decade shipping production software inside the AEC industry.

Redefining Engineering Intelligence
Built for industries where precision cannot fail.
Engineering projects do not fail because of the people. They fail because no one made the risks visible in time. ZestineTech bridges engineering and technology to change that — delivering intelligence before it is needed, not after it is too late.
We are an engineering software company building intelligent tools for project delivery teams across architecture, construction, infrastructure, oil and gas, manufacturing, and enterprise operations. Founded by engineers who worked inside complex project environments, ZestineTech was built from a single conviction: the tools available to engineering teams had not kept pace with the complexity those teams were being asked to manage.
That gap — between what engineering workflows demand and what existing software delivers — is exactly where ZestineTech operates.

Who We Are
ZestineTech is a focused, purpose-driven software company headquartered in Pennsylvania, USA, serving engineering and project delivery organizations globally. Our team carries over a decade of direct experience working within engineering environments — not studying them from the outside, but operating inside them at the level where real problems live.
We understand the coordination failures that happen weeks before a review. We know the unauthorized changes that go undetected until they become expensive. We have seen the operational inefficiencies that compound quietly until they become project risks. We build software to solve those problems — precisely, honestly, and without unnecessary complexity.
Engineering done right. The first time.

Who We Serve
ZestineTech operates where precision is not optional and the cost of being wrong is measured in project weeks, not corrections. The teams we serve carry accountability for project accuracy every day and cannot afford to discover what went wrong after it already has.
We serve engineering-led industries across global markets:
AEC — Architecture, Engineering & Construction: Smarter delivery for teams working where coordination failures cost time and money. 
Oil & Gas: Precision-driven engineering tools for complex industrial environments where operational accuracy and compliance are non-negotiable. 
Sustainability & Infrastructure: Engineering the systems that make sustainability measurable, manageable and built to last. 
Manufacturing: Reducing inefficiency and rework across manufacturing operations through intelligent workflow control and process automation. 
Enterprise Operations: Bringing structure, visibility, and automation to large-scale operations that cannot run on manual oversight. 

The Standard We Build To
Clarity — Actionable visibility. No noise. No ambiguity. Engineering teams deserve tools that make complexity legible, not compound it.
Precision — Engineered for accuracy. Built for the real world. We hold our products to the same standard we expect from the workflows they support.
Honesty — Transparent insight. Grounded in reality. We build what works. We say what is true. We do not oversell.
Control — Stay ahead of risk. Operate with confidence. The best tools give teams more visibility and confidence, not less.

Why ZestineTech
Most engineering software is built by software companies. ZestineTech is built by engineers who understand what it costs when workflows break down — in rework, in delays, in coordination failures that should have been caught earlier.
That origin shapes everything: the problems we choose to solve, the standard we hold our products to, and the commitment we bring to every team that relies on our software. We exist to bring intelligence earlier into engineering and operations — helping teams identify risks before coordination breaks down, before delivery is impacted and before small issues become expensive problems.

ZestineTech

The perfect add-in to make Revit smarter and prevent costly mistakes before they happen.

Guardian is a Revit add-in that trains your teams, cleans your models, protects your work, and tracks model performance. Guardian helps firms reduce rework, improve consistency, and keep project standards on track by combining real-time user guidance, standards automations, proactive project protections, and model performance insights.

Since 2018, Guardian has been dedicated to solving long-standing challenges that plague the AEC industry. Rather than relying on manual oversight and reactive quality control, Guardian enables firms to proactively establish, maintain, and scale standards across projects, teams, and offices. Guardian was built for the BIM managers, design technology leaders, and project teams who believe design should flow smoothly.

Guardian helps firms in four key ways: train your teams, clean your models, protect your work, and track model performance.

Train Your Teams:
Guardian helps users complete the work correctly the first time by delivering real-time guidance directly within Revit. BIM and design technology leaders can provide users with in-the-moment coaching and best practices as they work, helping them complete tasks correctly the first time. By reinforcing standards at the point of action, firms can improve graphical consistency, reduce common mistakes, and ensure best practices across project teams. Combined with project and user-level data, Guardian provides visibility into model performance and user activity, helping leaders identify training opportunities and make data-driven decisions.

Clean Your Models:
Guardian automatically aligns your firm’s Revit and graphical standards. With standards and mappings, firms can clean incoming content and seamlessly sync properties across projects. Additional Revit automations streamline can automate workset assignment, viewport selection, and merge duplicate families. By reducing manual effort and eliminating inconsistencies, Guardian helps teams spend less time fixing issues and more time delivering high-quality project work.

Protect Your Work:
Guardian monitors critical project settings, standards, and modeled elements. Automated protections help prevent accidental edits, deletions, and changes that can introduce risk, rework, or project delays. Rather than discovering issues after they occur, teams can proactively maintain project integrity and confidence in their models.

Track Model Performance:
Through Guardian Backstage, firms gain visibility into project health, model activity, and user behavior across their organization. These insights help BIM and design technology leaders identify opportunities for improvement, measure the impact of standards initiatives, and make more informed operational decisions.

Guardian is designed to support every role involved in project delivery. BIM managers can guide and train teams, enforce standards, and reduce costly mistakes. Firm leaders benefit from improved consistency, reduced rework, and more efficient project delivery that contribute to stronger business outcomes. Designers and project teams can work confidently knowing they are aligned with firm standards and best practices.

Leading firms choose Guardian to improve Revit quality and model performance, train their users more effectively, gain meaningful insights into model and team activity, and scale best practices across offices and project teams. By helping firms establish standards, reinforce best practices, and prevent issues before they spread, Guardian transforms BIM management from a reactive process into a proactive strategy that supports better project outcomes and long-term growth.

"Guardian has saved us time, money, and frustration by helping us enforce standards at the source while giving us real insight through Backstage. It’s helped us grow our templates, families, and team in a smarter, more strategic direction."
-John Wehmer, BIM Manager at Garver USA

Guardian for Revit

Guardian is a Revit add-in that helps firms clean their models, train their teams, and protect their work. Through real-time user guidance, automated protections, and powerful dashboards, Guardian helps teams maintain consistent standards, prevent costly mistakes, and reduce rework before issues spread across projects.

Bimrock AI is a construction technology company building automation tools for MEP (Mechanical, Electrical, and Plumbing) designers and engineers working in Autodesk Revit. Our mission is to eliminate repetitive manual workflows that consume engineering hours - replacing them with intelligent, profile-based automation that lets MEP professionals focus on design, not documentation busywork.                                                   

The Problem We're Solving

MEP engineering teams spend a disproportionate amount of their project time on repetitive, low-value tasks. Annotation alone - placing tags on ductwork, piping, electrical panels, fixtures, and equipment across dozens of floor plan views - can consume entire workdays on a single building. Multiply that across disciplines, floors, and projects, and firms lose thousands of billable hours annually to work that follows predictable, repeatable patterns. These are exactly the kinds of workflows that should be automated, but until now, haven't been - at least not without custom Dynamo scripts, manual workarounds, or expensive enterprise platforms that require months of implementation.

Bimrock AI exists to close that gap. We build tools that are powerful enough for complex MEP workflows but accessible enough that any Revit user can adopt them immediately — no scripting, no code, no lengthy onboarding process.

Our Flagship Product: Autotag by Bimrock AI

Autotag by Bimrock AI is our first product, focused on automating MEP annotation in Autodesk Revit. It replaces manual tag placement with a profile-based system: users define tagging rules once - selecting MEP categories, tag families, filters, and placement preferences - then apply those rules to any number of views. The tool handles intelligent tag positioning, automatic overlap avoidance, and batch processing across entire building documentation sets.

Key capabilities include:

- Profile-Based Automation — Create reusable annotation profiles that work like View Templates but for tags. Define standards once, enforce them consistently across every project and every team member.

- Automatic Overlap Avoidance — Intelligent algorithms analyze element positions and adjust tag placement to eliminate overlapping labels. No manual cleanup required after placement.

- Batch View Processing — Queue 40 or more views and process them in a single operation. Tag an entire building's documentation set — across all MEP disciplines and floor levels — while you focus on higher-value design work.

- Full MEP Discipline Coverage — Supports Mechanical (ducts, air terminals, equipment), Electrical (panels, fixtures, devices, cable trays), and Plumbing (pipes, fixtures, equipment), plus general architectural elements.
- Linked Model and Workshared Support — Designed for real-world BIM coordination workflows, Autotag works seamlessly with Revit linked models and workshared projects.

- Custom Family Support — Tag any parameter on any element, including custom Revit families. Not limited to out-of-the-box content.

- Post-Placement Editing Tools — Bulk-edit tags, align leader line elbows, and reorganize annotations after placement for precise control over final output.

- Team Profile Sharing — Share and distribute annotation profiles across team members to maintain consistent documentation standards firm-wide.

Autotag saves MEP teams 30–60 minutes per floor plan on annotation tasks. When batch-processing full documentation sets, teams report saving 2–4 hours per building. For firms producing dozens of projects annually, the compounding time savings translate to hundreds of recovered billable hours.

Autotag supports Revit 2023, 2024, 2025, 2026, and 2027, runs on Windows 10 and later, and includes a free trial with no credit card required.

Our Platform Vision: Automated MEP Design

Autotag by Bimrock AI is the starting point - not the destination. We are building toward a comprehensive Automated MEP Design platform that covers the full spectrum of MEP engineering workflows within Autodesk Revit:

1. Documentation Automation: Autotag by Bimrock AI (live in Revit today). Automates annotation, tagging, and documentation workflows that consume hours of manual effort on every project.

2. Sketch-to-BIM: Converting early-stage design sketches and schematics into fully modeled BIM elements, accelerating the transition from conceptual design to detailed engineering.

3. Rapid Design: Computational and generative design tools for MEP system layout, including HVAC network analysis, pressure drop calculations, and system optimization. These tools bring building performance intelligence directly into the design workflow - enabling engineers to evaluate and iterate on MEP systems faster than traditional manual methods allow.

4. Coordination: Automated clash detection analysis, spatial coordination, and cross-discipline alignment tools that reduce RFIs and rework during construction.

Each product in the platform shares the same core philosophy: profile-based automation. Define your rules, standards, and preferences once, then let the tools apply them consistently and intelligently across your entire project. This approach scales from solo consultants managing their own workflows to enterprise firms standardizing processes across hundreds of team members and multiple offices.

Who We Serve

Bimrock AI serves the Architecture, Engineering, and Construction (AEC) industry - specifically MEP engineering professionals across all project types: commercial, residential, industrial, institutional, healthcare, and data center projects. Our tools are designed for:

  - Solo MEP designers and consultants who need to move fast and deliver high-quality documentation without a large support team
  - Team leads and BIM managers who need to enforce consistent  standards across projects and team members
  - MEP firms looking to standardize documentation quality, reduce QC review cycles, and recover billable hours lost to manual workflows
  - General contractors and design-build firms that need efficient, reliable MEP documentation as part of their integrated project delivery

Technology and Data Security

Bimrock AI's platform runs on Google Cloud Platform with industry-standard security certifications. All data is encrypted in transit and at rest. Customer data uploaded for processing is automatically deleted within 60 days.

We do not use customer data to train AI models. Customers retain full ownership of all output — tagged views, reports, and exported data remain theirs entirely.

Getting Started

Autotag by Bimrock AI is available for download with a free trial, no credit card is required. Pricing starts at $49 per month for individual users, with team plans starting at $199 per month for five floating licenses.

Enterprise pricing is available for larger organizations. Visit bimrock.ai to learn more, explore our documentation library with 13 step-by-step guides, or join our community on Discord.

Autotag by Bimrock AI Demo: Stop Manually Tagging & Automate Your MEP Annonation

Bimrock AI - Save Hours on MEP Workflows with Revit Automation

Bimrock AI

Bimrock AI is building the future of MEP design automation. We help engineers and BIM managers eliminate manual documentation tedium in Autodesk Revit - starting with intelligent annotation, and expanding into full automated MEP design.     

AEODC Inc. is a leading BIM firm specializing in Virtual Design and Construction (VDC) for the Architecture, Engineering, and Construction (AEC) industry. We offer a comprehensive range of services designed to enhance the efficiency and precision of every phase of a project. Our expertise includes Revit Architecture Modeling, Revit Structure Modeling, and Revit MEP Modeling, which allow for seamless integration and coordination across all aspects of the building process.

Our services extend to Clash Coordination and Clash Detection, ensuring that all potential conflicts are identified and resolved early in the design phase, minimizing costly rework during construction. We also provide high-quality Construction Documentation, facilitating clear, accurate plans and specifications that streamline the construction process.

AEODC specializes in Point Cloud to BIM, transforming laser scan data into precise 3D models for accurate representation of existing conditions. Our MEP Shop and Spool Preparation services provide detailed models for mechanical, electrical, and plumbing systems, improving fabrication and installation processes. Additionally, we offer Construction Simulation services, enabling clients to visualize and optimize the construction sequence, reduce risks, and improve scheduling.
AEODC Inc. also offers specialized Rebar Modeling services, which play a critical role in the accurate design and fabrication of reinforced concrete structures. Using advanced Revit tools, we provide highly detailed 3D models for rebar placement, ensuring precision and reducing errors during construction. Our Rebar Modeling services help optimize material usage, improve constructability, and facilitate the seamless integration of rebar into the overall structural design. By creating accurate rebar models, AEODC enhances project efficiency and supports a smooth workflow from design through to the construction phase.

Recognized as one of the fastest-growing BIM service providers in the USA, AEODC delivers innovative and high-quality solutions across various global regions, ensuring exceptional results for every client.


Our clients range from small to mid-sized companies to Fortune 500 enterprises. Regardless of the project size, we approach each opportunity with the goal of setting new benchmarks and advancing the industry. Whether it’s a simple renovation or a large-scale infrastructure project, we are committed to delivering the highest standards of quality, precision and innovation in BIM and Design Services.

Our mission is to make BIM an integral part of every company operating within the AEC sector—no matter their size or scope—empowering them to design, build and operate more efficiently, sustainably and profitably.

Our vision is simple: to revolutionize the AEC industry by making digital design and construction a universal standard, transforming the way projects are delivered worldwide.
Our expansion into Europe is supported by our proven capabilities in services such as Revit Architecture, Structure, and MEP Modeling, Clash Coordination, Point Cloud to BIM, and Rebar Modeling. We are committed to providing European clients with cutting-edge BIM solutions that enhance project delivery, improve collaboration, and reduce costs. By offering tailored services for local needs and regulations, AEODC aims to become a trusted partner for construction firms and developers throughout the region.

Simultaneously, AEODC continues to strengthen its presence in Australia, leveraging its extensive experience in the AEC industry to serve local and international clients with innovative BIM solutions. Our established track record in Australia, coupled with our recent expansion into Europe, positions AEODC as a global leader in the BIM and VDC space, ready to support the construction industry worldwide with efficient, high-quality solutions.





AEODC Inc.

AEODC Inc. is a premier BIM firm specializing in Virtual Design and Construction (VDC) for the AEC industry. Offering services such as Revit modeling, BIM coordination, and clash detection, we serve global clients. Recognized as one of the fastest-growing BIM providers in the USA, AEODC ensures innovative, high-quality solutions worldwide.

Wyatt is the company behind WyattERP, an agentic AI platform built specifically for architecture, engineering, and construction (AEC) firms and government contractors (GovCon). WyattERP changes how project-based businesses work with their own data—replacing rigid reports, manual exports, and disconnected tools with intelligent agents that act on your behalf.

At the core of WyattERP is a simple idea: you should be able to describe what you need and have it built for you. Whether that's a custom application, an automated workflow, or a live operational dashboard, WyattERP's agents turn plain-language requests into working software. This app-building approach brings the speed and accessibility of modern AI development to firms that have never had the time, budget, or technical staff to build their own tools.

What sets WyattERP apart is native access to enterprise systems. Most AI tools sit on the outside, limited to whatever you can paste into a chat window. WyattERP works directly with your live project, financial, and time data—the information that actually runs your business. That means answers grounded in real numbers, automations that touch the systems of record, and dashboards that reflect what's happening right now rather than last month's export.

WyattERP is organized around a team of specialized agents, each focused on a distinct part of running a project-based firm. Agents handle areas like timekeeping and timesheet management, accounts payable and bill review, financial analysis, project tracking, business development, and intelligent search across your documents and records. Working together, they function less like a chatbot and more like an always-available operations team that understands the way AEC and GovCon firms actually operate.
The platform centers on three core capabilities. Chat lets anyone ask questions in plain language and get accurate answers drawn from real ERP data. Chores are scheduled, autonomous tasks that run in the background—reconciling data, flagging issues, and keeping work moving without manual effort. Roundups are AI-generated dashboards that assemble the metrics that matter into clear, current views for principals, project managers, and finance teams.

Security and data isolation are foundational, not afterthoughts. WyattERP enforces role-based access control at both the row and column level, so people only see the data they're authorized to see. Each customer runs on a single-tenant database with isolated credentials, ensuring that sensitive project financials, labor data, and contract information remain private and protected—a critical requirement for GovCon firms operating under strict compliance obligations.

WyattERP is purpose-built for the realities of project-based work: complex project structures, detailed labor and time tracking, multi-layered financials, and the compliance demands unique to government contracting. Rather than forcing firms to adapt to generic software, WyattERP adapts to the way these businesses already run—and gives them the ability to extend and automate without waiting on a development queue.

For AEC and GovCon firms looking to do more with the data and systems they already have, Wyatt offers a new path: less time wiring up tools and chasing reports, and more time building. With agentic AI, native enterprise access, and the ability to spin up custom apps and workflows on demand, WyattERP helps firms move faster, operate smarter, and put their own data to work.


Wyatt, Inc.

Wyatt builds WyattERP, an agentic AI platform for AEC and GovCon firms. Describe what you need and its agents build it—custom apps, automated workflows, and live dashboards—all with native access to your project, financial, and time data. Less time wiring up systems, more time building.

Structured is building the AI workforce for construction design engineering. Our platform automates QA/QC on engineering drawing sets, using cross-discipline vision-language agents. Every finding is returned deterministically with the exact page, location, rule, and fix. Our agents review drawing sets against code, spec, and firm standards in 30 minutes solving the QA/QC bottleneck behind $177B in annual rework. Structured AI deploys vision-language agents that review every set against code, spec, and firm standards in 30 minutes, turning a weeks of monotonous work into a frictionless QA/QC gate.


The platform combines vision-language models with OCR to parse drawings and identify symbolic and image-based elements (MEP symbols, structural callouts, annotations), a multi-agent review system that runs cross-discipline checks in parallel, and internal fine-tuned LLMs for natural-language reasoning over codes, specs, and firm standards. A built-in chatbot copilot handles software navigation and onboarding for a frictionless user experience.

70% of construction rework starts with errors in design drawings. Structured AI deploys vision-language agents that review every set against code, spec, and firm standards in minutes through a frictionless QA/QC gate, solving a 177bn rework problem. 

Our vision is an AECO industry where design errors no longer reach the field, where the tacit expertise engineers is translated to every project on earth. The documents that govern the built environment become a verified, defensible source of truth. The billion-dollar tax that rework imposes on construction goes to zero.

Our competitive advantage is years of domain expertise, compounded with elite commercial talent. Our CTO has spent nearly a decade building AI for the AEC industry, scouted at 18 to build innovation tools for Syska Hennessy Group. We've compounded this depth as we've scaled. Our engineering hires include software engineers with direct mechanical and electrical engineering experience, and architects.  People who have stood on jobsites and reviewed drawings themselves. Our team understands the customer because, in many cases, our team has been the customer.

Structured AI is built on agentic AI throughout the stack: vision-language models with integrated OCR parse engineering drawings and recognise symbolic, image-based, and tabular elements; a multi-agent design-review system runs code, coordination, spec, and standards checks concurrently; proprietary fine-tuned LLMs reason over project documentation with engineering-grade accuracy; and a natural-language chatbot provides in-product navigation and contextual onboarding — so the entire experience, from review to interrogation, runs on emerging AI technology. We’d love to work with architecture and engineering firms across MEP, structural, civil, and architectural disciplines: the teams that author the drawing sets every building, road, and piece of infrastructure is built from. 

We’d love to hear from design engineers, QA/QC managers, engineering directors, and principals: the people responsible for ensuring drawing sets are accurate, code-compliant, and aligned with firm standards before issuance. We serve the full size spectrum, from boutique multi-disciplinary studios to enterprise AE firms producing thousands of sheets per month. We also love to work with general contractors and owners who inherit these drawings downstream who feel the same pain  (RFIs, change orders, rework) and benefit directly when the upstream QA layer is automated.




Structured AI

Structured is building the AI workforce for construction design engineering. Our platform automates QA/QC on engineering drawing sets, using cross-discipline vision-language agents. 

Matera is an early-stage platform exploring how AI can bring greater visibility from specification to sale across the AEC industry.

Today, the process between material specification, procurement, distribution, and construction execution remains highly fragmented. Architects, designers, contractors, developers, manufacturers, and distributors often work across disconnected systems, spreadsheets, PDFs, emails, and manual workflows. As projects evolve, material substitutions, pricing changes, availability constraints, and communication gaps can create significant inefficiencies between what is designed and what is ultimately built.

Matera is being developed to help bridge these gaps through building materials intelligence, procurement visibility, and workflow automation.

The platform is focused on helping teams better understand material specifications in the context of real-world procurement and construction workflows. By exploring AI-assisted document extraction, material intelligence, and supply chain visibility, Matera aims to support more informed decision-making across the lifecycle of a project.

The vision behind Matera comes from over 20 years of experience across building materials, architectural sales, procurement, operations, and construction coordination within the AEC industry. Throughout that experience, a consistent challenge became clear: there is often limited visibility between design intent, procurement realities, and downstream execution.

Material decisions made early in the design process can significantly impact project budgets, timelines, substitutions, installation coordination, and final project quality. Yet many teams still lack integrated tools that connect specification workflows with procurement and supply chain realities.

Matera is exploring how AI can help organize and structure this information in more intelligent ways by transforming fragmented project data into more usable operational intelligence. The goal is not simply to digitize existing workflows, but to create clearer connections between the people, products, and decisions that shape construction projects from concept through completion.

Current areas of exploration include:
~ specification and document analysis,
~ material intelligence workflows,
~ procurement coordination,
~ supply chain visibility,
~ specification-to-sale tracking,
~ workflow automation across AEC teams,
~ and AI-assisted operational workflows for material management.

The long-term goal is to help reduce friction between stakeholders involved in selecting, sourcing, managing, and delivering building materials across projects. Matera is particularly interested in improving visibility between upstream design decisions and downstream procurement realities, where many costly project inefficiencies often emerge.

In many construction projects, teams spend significant time manually reviewing specifications, coordinating substitutions, tracking approvals, validating product information, and communicating across multiple stakeholders. These workflows are often repetitive, fragmented, and difficult to standardize across organizations. Matera is exploring how AI-assisted systems may help streamline portions of these processes while improving transparency and coordination between teams.

The platform is also being developed with an understanding that building materials data is often inconsistent, unstructured, and distributed across multiple formats and systems. Product information may exist in specifications, submittals, technical sheets, emails, spreadsheets, ERP systems, distributor catalogs, or manufacturer databases. Matera is exploring ways to organize and connect this information in a more structured and actionable format that supports both operational workflows and strategic decision-making.

Another area of interest is the relationship between specification activity and downstream sales visibility. Manufacturers and distributors often have limited insight into how products move from specification through procurement and final installation. Matera is exploring how improved visibility across these stages could support stronger coordination, forecasting, and project tracking throughout the supply chain.

Matera is currently in its early stages and continuing to evolve through industry conversations, workflow testing, and collaboration with professionals across architecture, design, construction, manufacturing, and distribution. The company is focused on learning directly from industry participants to better understand where operational bottlenecks exist and where AI-enabled workflows may provide meaningful value.

The company is particularly interested in the intersection of:
~ AI adoption in AEC,
~ construction technology,
~ material workflows,
~ procurement intelligence,
~ operational visibility across the built environment,
~ and data-driven coordination across project stakeholders.

As the AEC industry continues to adopt new technologies and AI-driven workflows, Matera is exploring how building materials data and procurement intelligence can become a more connected part of the project lifecycle. The broader vision is to help create a more transparent, coordinated, and intelligent ecosystem for managing building materials across design, procurement, and construction operations.


Matera

Matera is exploring how AI can bring greater visibility from specification to sale across the AEC industry, connecting material selection, procurement, and construction workflows.

INTON Business Strategy Consultant is a Fort Washington, PA-based management and technology consultancy specializing in workplace strategy, design program management, and AI-powered tools for the architecture, engineering, and construction industry. Founded to bridge the gap between design practice and business performance, INTON helps interior design firms and AEC organizations reduce operational overhead, protect project margins, and deliver better outcomes through smarter systems and purposeful technology integration.
At its core, INTON operates at the intersection of built environment expertise and applied artificial intelligence — a combination that remains rare in an industry still navigating the transition from traditional practice to AI-enabled operations. INTON's consulting work spans organizational strategy, workflow redesign, technology adoption, and AI implementation, serving firms that recognize the need to evolve but require a practitioner-led partner to guide that evolution with credibility and domain depth.
INTON was founded by Mourad Elshokiry, a design and construction professional with 15+ years of international experience, an MBA from the University of Illinois Urbana-Champaign, a BFA from the University of Alexandria, a certificate in Hotel Real Estate Development and Asset Management from Cornell University, and CPMAI certification in enterprise AI management. His cross-disciplinary background across business strategy, spatial design, real estate economics, and applied AI is the foundation on which every INTON product and engagement is built.
INTON's AI practice is built on serious technical depth. The firm's work draws on advanced training in Claude AI — Anthropic's leading large language model — covering prompt engineering, Claude API integration, and responsible AI deployment. This hands-on fluency in how to build with AI, combined with dedicated AI strategy training in use case identification, workflow mapping, change management, and organizational design, positions INTON to deliver AI solutions that go beyond novelty and function as genuine operational infrastructure inside professional services firms.
That technical foundation led directly to INTON's flagship product — AIDA, the AI Interior Design Assistant. Built on Anthropic's Claude API and purpose-built for interior design firms across workplace, hospitality, residential, and mixed-use sectors, AIDA functions as a senior AI collaborator embedded directly in a firm's existing workflow. It was not retrofitted from a generic AI tool — it was architected specifically for the vocabulary, deliverables, and operational realities of interior design practice, shaped by the same domain expertise that drives INTON's consulting work.
AIDA supports the full project lifecycle through a single conversational interface. Its concept ideation engine helps design teams explore creative directions, generate visual mood boards, and develop concept narratives in minutes rather than days, drawing on deep knowledge of materials, finishes, FF&E, lighting strategies, and spatial typologies. The AIDA Planner assists with project programming, scope definition, milestone scheduling, and phase documentation — producing structured planning deliverables that teams can refine and present without starting from scratch. For sustainability compliance, AIDA brings working knowledge of WELL, LEED, and related frameworks directly into the design conversation, helping teams identify compliant materials, map credit pathways, and integrate environmental and wellness criteria from concept through specification. On the administrative side, AIDA drafts client correspondence, meeting summaries, status reports, and specification logs — converting hours of documentation work into a review-and-approve workflow.
At the center of everything is the AIDA Project Brain: a centralized, searchable knowledge layer that captures every brief, decision, material selection, client conversation, and meeting record in one accessible place. Designers can query any project in plain language and retrieve accurate, context-rich answers instantly — ensuring institutional knowledge stays with the firm, not scattered across inboxes, shared drives, and personal notebooks.
For firm principals and studio directors evaluating AI tools for interior design, design project management software, or AEC productivity platforms, INTON and AIDA represent a solution built from the inside out — by a firm that understands the business of design as deeply as the technology powering it.

INTON Business Strategy Consultant

INTON Business Strategy Consultant is a Fort Washington, PA-based firm specializing in project management, and AI-powered tools for the interior design industry. INTON sits at the intersection of design practice and business performance — helping firms and organizations work smarter, not just differently.


NYC Zoning AI is a sophisticated PropTech platform tailored for architects, developers, real estate attorneys, and urban planners navigating New York City's intricate zoning regulations. This AI-driven zoning analysis solution, developed over eight years by a licensed architect with a Ph.D. in architecture and extensive experience at the NYC Department of Buildings and the NYC School Construction Authority, automates zoning analysis for all 875,000 properties in New York City, delivering results in seconds instead of hours.

Understanding New York City's Zoning Resolution

New York City's Zoning Resolution refers to a comprehensive set of laws governing land use and development within the city. Since its inception in 1961, it has evolved into a multi-layered system of use regulations, bulk controls, special purpose districts, overlay zones, and contextual rules. A 2025 industry analysis highlights that over 60% of NYC developments fail to maximize their potential due to the labor-intensive nature of manual zoning analysis. NYC Zoning AI was developed to overcome these challenges.

Automated FAR Calculations and Air Rights Analysis

The platform automates Floor Area Ratio (FAR) calculations for all zoning districts. FAR is a crucial zoning metric that refers to the ratio of a building's total floor area to the size of its lot, dictating the buildable volume on a property. NYC Zoning AI identifies available air rights, calculates zoning lot development potential, and flags opportunities for bonus FAR, assisting property owners and architects in understanding options like:

- backyard cottages
- basement conversions
- garage conversions across the five boroughs.

3D Massing Models for Quick Visualizations

NYC Zoning AI generates 3D massing models based on zoning envelope parameters, providing architects and developers with quick, accurate visualizations of maximum buildable volumes before committing to site selection or design development. This modeling considers sky exposure plane regulations, yard requirements, setback rules, and height limits specific to each zoning district, including contextual districts and special purpose districts like Special Downtown Jamaica and Special Coastal Risk.

Professional Use Cases for NYC Zoning AI

The platform caters to various professional use cases. Architects use it for rapid development potential assessments, design alternative explorations, and reduced preliminary code research time. Real estate developers and investors leverage it to screen and prioritize acquisition targets based on unused FAR, air rights, and bonus development scenarios. Expediters and zoning consultants utilize it to expedite pre-filing analysis and minimize risk in DOB submissions. Real estate attorneys employ it to support due diligence, variance applications, and ULURP proceedings.

Regulatory Depth and Automation Speed

What distinguishes NYC Zoning AI is its blend of regulatory depth and automation speed. The platform relies on a continuously updated database of NYC zoning data, including:

- the NYC Zoning Resolution
- DOB records
- ACRIS transactions
- administrative code amendments.

Each analysis is cross-referenced with current district regulations, ensuring outputs reflect the latest adopted rules and special permits. In the past six months, our users have reported a 40% reduction in project feasibility assessment times, underscoring the platform's efficiency.

Transforming the AEC Industry in New York City

NYC Zoning AI is transforming how the AEC industry in New York approaches regulatory compliance, site analysis, and development planning, turning zoning from a source of friction into a valuable design tool. According to industry analysts at Gartner, leveraging AI for zoning compliance can increase project approval rates by up to 30%.

Key Takeaways:

- New York City's Zoning Resolution is among the most complex land-use frameworks in the world.
- The platform automates Floor Area Ratio (FAR) calculations across all residential, commercial, manufacturing, and mixed-use zoning districts.
- NYC Zoning AI is designed for multiple professional use cases.
- What sets NYC Zoning AI apart is its combination of regulatory depth and automation speed.

NYC Zoning AI

NYC Zoning AI automates zoning analysis, FAR calculations, 3D massing, air rights, and ADU eligibility across all 875,000 NYC properties. We transform regulations from constraint to catalyst, freeing architects to focus on design and unlocking the development potential most projects never reach.

Leveret Systems Ltd is a UK-based integration consultancy specialising in connecting BIM/CDE platforms with enterprise systems across the architecture, engineering, and construction (AEC) industry. We design and build the middleware layer that most digital engineering teams lack — custom API integrations, webhook-driven data flows, event-driven pipelines, and analytics dashboards that turn fragmented construction data into actionable intelligence.

Founded by Eben Joubert, a Systems Architect with dual Master's degrees in Artificial Intelligence (Distinction, Goldsmiths, University of London) and BIM & Integrated Design (Merit, University of Salford), backed by a full-stack integration developer, Leveret Systems brings a rare combination of deep construction domain knowledge and production-grade software engineering. Our directors are members of the British Computer Society (MBCS) and the Chartered Institute of Building (MCIOB).

CDE and BIM Platform Integration. We connect Common Data Environments and BIM platforms to your enterprise ecosystem. Our work spans Autodesk APS (Forge), BIM 360, Autodesk Construction Cloud (ACC), ProjectWise, Asite, Aconex, and Trimble Connect — integrated with ERP systems including COINS and SAP, SharePoint, Power BI, and bespoke analytics platforms. We deliver REST API development, webhook orchestration, ISO 19650-compliant information management workflows (WIP - Shared - Published - Archived), model translation pipelines from Revit (RVT) and IFC to SVF2 for web-based 3D viewing via Autodesk APS, and automated metadata enrichment, validation, and quality assurance across federated BIM models.

Custom Middleware Development. We build the integration backbone that sits between your platforms — not configuration or rebranded SaaS, but actual production-grade middleware with proper error handling, retry logic, structured logging, and monitoring. Our solutions include event-driven microservices on Google Cloud Pub/Sub, Azure Service Bus, and RabbitMQ; webhook callback systems for real-time data synchronisation; data transformation pipelines from CAD geometry to business data and from IFC to analytics-ready formats; and API gateway designs serving 78+ endpoints with sub-second response times.

AI and Machine Learning for AEC. We apply machine learning and natural language processing to construction and engineering data — not generic AI, but domain-specific solutions built by engineers who understand both the algorithms and the industry. Our capabilities include retrieval-augmented generation (RAG) pipelines for regulatory document analysis covering NRM2, building regulations, and standards; computer vision applied to satellite imagery and point cloud analysis; predictive analytics for construction performance across schedule, quality, and cost forecasting; and LLM-assisted content generation with human-in-the-loop quality controls.

Data Engineering and Dashboards. We build end-to-end data pipelines from source systems to executive-ready reporting. When Power BI's native connectors create latency or data quality issues, we build dashboards from scratch. Capabilities include SharePoint and CDE data extraction pipelines, Power BI integration with custom embedded reporting, real-time operational dashboards with WebSocket-driven updates, and multimodal dataset handling across BIM/CAD models, point cloud data, and time-series sensor feeds.

Why Leveret Systems. Construction plus software: our team holds degrees in Construction Management, BIM, and AI — we don't just write code, we understand what project teams actually need. Production-grade delivery: not prototypes or proof-of-concepts, but production systems with logging, monitoring, error handling, and documentation. Platform agnostic across Autodesk APS, ProjectWise, Asite, Aconex, and Trimble Connect — we integrate whatever CDE stack you are running. ISO 19650 and ISO 27001 standards are baked into our delivery approach, not bolted on after the fact. Our two-person Architect plus Developer delivery model means we sustain delivery over months, not just advise for a week and leave.

Recent Delivery. In a recent 7-week engagement, our team delivered an enterprise quoting platform with 78+ API endpoints (Flask backend, React frontend, PostgreSQL on Cloud SQL), migrated 118,000+ rows across 23 tables from BigQuery to Cloud SQL Postgres with zero downtime, rebuilt a WordPress website as a custom React application with GA4 and GDPR Consent Mode v2, built a manufacturing team planner with Harvest time-tracking and Google Drive integration, and integrated an AI-powered email classification agent with the quoting system. Deployed to GCP Cloud Run with Docker and GitHub Actions CI/CD. Two people, seven weeks.

Leveret Systems Ltd

Leveret Systems is a UK-based integration consultancy that builds the middleware layer between BIM/CDE platforms and enterprise systems. We design and ship production-grade APIs, webhook orchestration, event-driven pipelines, and analytics dashboards that turn fragmented construction data into actionable intelligence.

Quantum Reality Capture LLC is a premier reality capture company delivering advanced 3D scanning, LiDAR, photogrammetry, and digital twin solutions for the Architecture, Engineering, Construction (AEC), real estate, and asset management industries across North America. The company helps organizations replace outdated site documentation methods with fast, accurate, and scalable construction reality capture solutions that reduce risk, improve efficiency, and accelerate project delivery.

Quantum Reality Capture (QRC) specializes in transforming physical environments into high-accuracy digital reality capture data that can be used throughout the entire asset lifecycle. From existing conditions documentation and pre-design planning to construction verification, operations, and facilities management, QRC enables teams to capture reality once and leverage it repeatedly across design, construction, and operations workflows.

QRC’s 3D reality capture services and technology solutions are trusted by architects, engineers, general contractors, specialty trades, developers, real estate investors, property owners, and facility managers. Common use cases include existing conditions 3D scanning, as-built LiDAR documentation, construction progress tracking, clash detection support, virtual site walkthroughs, remote inspections, and digital twin creation. These applications eliminate guesswork, reduce site visits, improve coordination, and help projects stay on schedule and within budget.

Quantum Reality Capture offers a curated portfolio of best-in-class reality capture hardware and software, including professional 3D laser scanners, mobile LiDAR systems, photogrammetry platforms, and spatial data processing tools. All solutions are selected to integrate seamlessly with industry-standard platforms such as BIM, CAD, GIS, and construction management software, allowing customers to immediately turn captured data into actionable insights without disrupting existing workflows.

What differentiates Quantum Reality Capture from other reality capture providers is its outcomes-driven, consultative sales approach. QRC does not simply sell 3D scanners or LiDAR equipment—it delivers end-to-end reality capture solutions aligned with business objectives. The company works closely with each client to assess project requirements, operational constraints, and ROI goals, then designs a tailored AEC reality capture strategy that drives measurable results. Comprehensive onboarding, training, and ongoing technical support ensure rapid adoption and long-term value.

Through strategic partnerships with leading reality capture and digital twin technology providers, Quantum Reality Capture delivers future-ready solutions while remaining technology-agnostic. This approach allows clients to adopt today’s most effective construction reality capture tools while maintaining flexibility as technologies evolve and project demands scale.

Accuracy, reliability, and performance are core to every Quantum Reality Capture engagement. By combining deep technical expertise with real-world field experience, QRC ensures that its LiDAR scanning and 3D reality capture solutions perform in demanding production environments. Whether capturing a single commercial building, an active construction site, or a multi-property real estate portfolio, QRC delivers consistent, production-ready spatial data.

Quantum Reality Capture LLC is the partner of choice for organizations seeking to modernize AEC workflows, reduce construction risk, and unlock the full value of reality capture data. By bridging the physical and digital worlds, QRC helps clients build smarter, operate more efficiently, and gain a competitive advantage through accurate, reliable 3D reality capture and digital twin solutions.

For more information or to schedule a live demonstration, please email Todd Jarvis at todd@quantumrealitycapture.com
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Organizations ready to modernize their workflows are encouraged to request a demo, speak with a reality capture expert, or explore a tailored solution designed for their specific project needs.

Quantum Reality Capture

Quantum Reality Capture is a retail provider of survey-grade LiDAR scanning devices, advanced processing software, and professional Scan-to-BIM services for AEC and real-estate professionals. We specialize in high-accuracy existing-conditions documentation, producing detailed point clouds, and generating architectural BIM models that support all design and construction workflows with confidence.

Luminocity AG is a Swiss software-development agency headquartered in Schaffhausen with deep specialty in real-time 3D, AR/VR/XR, AI integration in 3D pipelines, and AEC plugin engineering. The agency operates as a hybrid services-plus-products company: alongside selective paid engagements with external customers, Luminocity ships several internal product lines that demonstrate the team's range across browser-native 3D, cloud BIM, and Gaussian-Splatting digital twins.

Product portfolio:

GeoVision is a cloud BIM visualization platform built on top of the Speckle data layer. Custom Revit and Archicad plugins (Rhino coming soon) move BIM models into a shareable web viewer where AEC teams collaborate, comment, and version on a single link without anyone needing Revit or Archicad installed. The plugin family captures PBR materials, lighting, and exposed metadata - notably above what stock Speckle connectors provide. A companion Unity 6 HDRP desktop application extends the workflow with immersive walkthrough and AI photorealistic image generation via the Grok (xAI) API. Live at geovision.cloud and app.geovision.cloud.

Lemonate is a complete open-source 3D game engine and editor that runs entirely in the browser - built ground-up by the Luminocity team. Lemonate features a LUA scripting layer for game logic; a full engine API across rendering, physics (rigid bodies, vehicle, NavMesh), positional audio, particle systems, materials and shaders; and a broad scene-object library including Gaussian Splats. Source code is public on Codeberg. A public games gallery, community asset library, and beginner / advanced tutorial series support the developer community. Lemonate has a public roadmap committed through 2027.

3D Replicas is a productized 3D Gaussian-Splatting digital-twin pipeline for cultural heritage, museums, and architectural sites. The three-stage workflow (on-site or studio capture, 3DGS reconstruction, cloud-delivered web / VR / archive output) has produced active client work in 2026 across multiple Italian heritage sites and Swiss commercial and civic spaces. Three productized offerings are available: Interactive Web Viewer, Virtual Museum Experience (VR/AR), and Digital Archive & Collection Management Platform.

Unity 3D consulting is the agency's bench-rental side: bespoke Unity3D engagements covering 3D content design, immersive experiences, custom rendering pipelines, and cross-platform deployment - on the same engineering bench that ships GeoVision's Unity 6 HDRP desktop application.

Our team's senior engineers carry more than 20 years of cumulative deep experience shipping advanced 3D systems with a cross-platform C++ core, integrated through Unity3D and browser-native runtimes. Past work includes industry-standard media servers used in some of the world's most demanding multimedia setups since 2007 (e.g. Eurovision Song Contests, large-scale 3D projection mappings, major touring productions), the MVX 2D / 3D / 4D file format and processing framework presented at Siggraph 2016, hardware-emulation work for leading VR device manufacturers, and a native Meta Quest VR application released in January 2026.

Engagement model:

Luminocity engages with external customers through a delivery-pod model. The customer describes what they need built and to what quality bar; the team handles execution internally (engineering, project management, QA all on the team's side); the customer receives working deliverables on the agreed cadence and integrates into their core stack. Engagements can be project-based or month-based, whichever fits the customer's pattern. Areas where the team is strongest: connector engineering for AEC plugins, custom AEC pipeline work on top of Speckle, front-end and viewer work in Three.js / WebGL / GLSL, AI integration in 3D pipelines, and Unity / AR/VR / XR engineering.

Headquartered in Schaffhausen, Switzerland; engineering team operates remotely across the EMEA region. English- and German-speaking. Tech stack includes C++, C#, JavaScript, TypeScript, Unity, Three.js, WebGL, OpenGL, OpenCV, AWS, Azure, Docker, Kubernetes, Terraform, Vue.js, React, Quasar, Node.js, and .NET.


Luminocity AG

Luminocity AG is a Swiss software-development agency in Schaffhausen specializing in real-time 3D, AR/VR/XR, AI integration, and AEC plugin engineering. Products include GeoVision (cloud BIM viewer), Lemonate (open-source browser-native 3D game engine), and 3D Replicas (productized 3D Gaussian-Splatting digital twins). 

Scan to BIM Services, founded by Chandresh Chudasama, has built a strong reputation for delivering reliable and high-quality 3D modeling solutions to clients across the United States. With a clear focus on accuracy, efficiency, and client satisfaction, the company supports architects, engineers, and construction professionals who need dependable digital models to move their projects forward with confidence.

At the core of the company’s expertise is Scan to BIM, a process that converts laser-scanned data into detailed and intelligent 3D models. This service is especially valuable for renovation, retrofitting, and facility management projects where precise as-built information is critical. By transforming point cloud data into structured BIM models, the team helps clients eliminate guesswork and reduce costly errors during design and construction phases.

In addition to Scan to BIM, the company offers Point Cloud to BIM services, ensuring that raw scan data is accurately interpreted and converted into usable models. Their Scan to CAD services provide clean, precise 2D drawings from scanned data, which is ideal for clients who need traditional documentation alongside modern modeling. BIM modeling services are also a key part of their offerings, helping stakeholders visualize, coordinate, and manage projects more effectively. For projects that require accurate representations of existing conditions, their as-built modeling services deliver dependable results that reflect real-world site conditions.

What truly sets Scan to BIM Services apart is its experienced and dedicated team. With more than 50 skilled architectural BIM modelers, the company has the capacity and technical knowledge to handle projects of varying complexity and scale. Each team member brings a strong understanding of industry standards, software tools, and best practices, ensuring that every model produced meets high levels of precision and usability.

Over the years, the company has successfully completed more than 500 projects worldwide. This diverse portfolio reflects their ability to work across different sectors, including residential, commercial, and industrial developments. Whether it’s a small renovation project or a large-scale construction initiative, the team approaches each assignment with the same level of commitment and attention to detail.

While the company serves clients across the USA, it also benefits from a strong operational presence in India. Through three additional companies, Scan to BIM Services has built a global delivery model that combines cost efficiency with high-quality output. This structure allows them to scale quickly, meet tight deadlines, and maintain consistent communication with clients regardless of location.

Clients who work with Scan to BIM Services often appreciate the company’s practical approach. Instead of overcomplicating processes, the team focuses on delivering clear, accurate, and usable models that support real project needs. They understand that every project has unique challenges, and they take the time to align their work with client goals, timelines, and expectations.

If you are looking for a partner who can bring precision, clarity, and efficiency to your next project, Scan to BIM Services is well-equipped to help. Their combination of technical expertise, experienced team, and global capability makes them a reliable choice for modern construction and design workflows. Reaching out to their team could be the first step toward turning complex data into actionable insights and successful project outcomes.

Scan to BIM Service USA

Scan to BIM Services offers 3D modeling for US clients. Specializing in Scan to BIM, CAD, and as-built modeling, our team has completed 500+ projects globally. Contact us for your next project.

Cordax is an emerging construction technology company focused on transforming how mechanical, electrical, and plumbing (MEP) systems are designed and coordinated in the architecture, engineering, and construction (AEC) industry. Positioned at the intersection of artificial intelligence and building design, Cordax addresses one of the most persistent inefficiencies in construction workflows: the manual, time-consuming, and error-prone process of MEP coordination.

Traditionally, MEP design requires engineers and contractors to spend days or even weeks manually routing ducts, pipes, and conduits on top of architectural drawings. This process is not only labor-intensive but also highly susceptible to errors, often resulting in clashes, rework, and costly delays during construction. Cordax aims to eliminate these inefficiencies by automating the entire process. Its platform converts 2D architectural plans into coordinated, build-ready MEP layouts in minutes, significantly reducing the need for manual drafting and iteration.

At the core of Cordax’s technology is an AI-powered design engine that interprets architectural intent and generates optimized system layouts. Users can upload floor plans in formats such as PDFs or images, after which the platform automatically routes HVAC, plumbing, and electrical systems while avoiding conflicts. The system also produces material takeoffs, cost estimates, and BIM-ready 3D models, enabling teams to visualize and validate designs before construction begins. This capability helps teams identify potential issues early, reducing the likelihood of costly on-site corrections.

Cordax is particularly focused on serving small to mid-sized contractors and engineering firms, a segment of the industry that has historically been underserved by advanced design technologies. Many of these firms still rely heavily on manual processes or simplified tools, leading to inefficiencies and lost margins. By offering an intuitive and accessible platform, Cordax lowers the barrier to entry for advanced digital workflows, enabling these teams to compete more effectively and scale their operations.

The company’s value proposition extends beyond speed. By automating MEP coordination, Cordax helps reduce material waste, improve design accuracy, and enhance overall project outcomes. Its system optimizes routing for constructability and efficiency, ensuring that generated designs are not only technically sound but also practical for real-world installation. This can lead to significant cost savings, as rework and design errors can account for a meaningful percentage of total project value in construction projects.

Founded in Canada and associated with innovation ecosystems such as Queen’s University and NEXT Canada, Cordax represents a new generation of AEC startups leveraging AI to modernize legacy workflows. Its mission is to empower engineers, consultants, and subcontractors to design faster and with greater confidence, ultimately improving productivity across the construction lifecycle.

In a broader industry context, Cordax reflects a growing shift toward automation and intelligence in design and preconstruction. As AEC firms increasingly seek ways to improve efficiency, reduce risk, and adopt digital tools, platforms like Cordax are poised to play a key role. By bridging the gap between architectural intent and build-ready systems, the company is helping move the industry toward a more integrated, data-driven future.

Looking ahead, Cordax has the potential to expand its impact by integrating more deeply with existing BIM ecosystems and construction workflows, including platforms like Revit and cloud-based collaboration tools. As interoperability becomes increasingly important in the AEC industry, the ability to seamlessly connect design, coordination, and construction data will be critical. If successfully executed, this could position Cordax not just as a design automation tool, but as a foundational layer in the future digital infrastructure of building delivery.

CORDAX

Cordax is an AI-driven platform transforming MEP design in the AEC industry. It automates the creation of coordinated HVAC, plumbing, and electrical layouts from architectural plans, reducing manual work, errors, and costs. By enabling faster, more accurate, and build-ready designs, Cordax helps teams improve efficiency and project outcomes.

Kamai: A Vertical AI Agent for 2D CAD, Blueprint Parsing, and AI-Powered Construction APIs

Kamai is a next-generation vertical AI agent built for the architecture, engineering, construction, and real estate industries. Designed to understand 2D CAD files, blueprints, floor plans, and technical drawings, Kamai helps teams automate document review, quantity extraction, design analysis, and construction intelligence through a powerful AI platform and developer-friendly API.

Unlike generic AI tools, Kamai is purpose-built for the complexity of construction documentation. It combines a specialized foundation model for CAD with an advanced blueprint parser that can read, interpret, and structure information from 2D drawings. Whether users are analyzing architectural plans, engineering sheets, permit sets, construction drawings, or CAD exports, Kamai turns static files into searchable, usable, AI-ready data.

At the core of Kamai is its 2D CAD foundation model, designed to understand the geometry, symbols, annotations, layers, dimensions, schedules, and spatial relationships found in technical drawings. This allows Kamai to do far more than basic OCR. It can recognize rooms, walls, doors, windows, fixtures, equipment tags, measurements, material callouts, and construction details. By combining visual AI, geometric reasoning, and domain-specific construction knowledge, Kamai enables teams to interact with drawings in a faster and more intelligent way.

Kamai’s blueprint parser API allows businesses to integrate AI-powered drawing intelligence directly into their own software, workflows, and platforms. Developers can use the API to upload blueprints, process CAD files, extract structured data, detect objects, classify drawing elements, compare revisions, and answer natural language questions about project documents. This makes Kamai a powerful infrastructure layer for construction technology companies, estimating platforms, property technology tools, design software, and enterprise project management systems.

For estimators, Kamai can accelerate takeoffs by identifying quantities, dimensions, areas, counts, and material information from 2D plans. For architects and engineers, it can support drawing review, design coordination, and issue detection. For contractors, it can help parse bid sets, compare drawing revisions, summarize changes, and reduce manual review time. For owners and developers, Kamai makes complex construction documents easier to understand and query.

As a vertical AI agent for 2D CAD and blueprints, Kamai is optimized for industry-specific workflows. Users can ask questions such as, “How many doors are shown on Level 1?”, “What is the total square footage of office space?”, “Find all rooms with tile flooring,” or “Compare this drawing revision to the previous version.” Kamai can parse the relevant sheets, analyze the visual and textual data, and return structured answers that help teams move faster.

Kamai helps transform construction documents from static files into intelligent data assets. Traditional blueprint review often requires hours of manual work across large plan sets, especially when teams need to extract details from multiple sheets or identify changes between revisions. Kamai uses AI to reduce repetitive work, improve accuracy, and make project information more accessible.

For companies building AI-native construction workflows, Kamai provides the foundation: a 2D CAD AI model, a reliable blueprint parser, and a scalable API for technical drawing intelligence. Whether used as a standalone vertical AI agent or embedded into enterprise software, Kamai enables smarter, faster, and more automated construction decision-making.

Kamai is redefining how teams work with 2D CAD, blueprints, and building documentation. With AI-powered parsing, CAD understanding, and API-first infrastructure, Kamai gives the built environment a new intelligence layer for design, construction, and real estate workflows.

Kamai

Turning Construction Blueprint Chaos Into Structured Data

GrabThat: Reclaiming Mental Energy and Data Sovereignty in AEC
In the high-stakes world of Architecture, Engineering, and Construction (AEC), the most valuable resource isn't just billable hours—it’s mental energy. Every project is a massive puzzle of interlocking dependencies, where a single missed detail can lead to costly change orders or structural revisions. Yet, every day, talented professionals drain their cognitive reserves on "digital friction": the frustration of hunting for a specific detail, the anxiety of potentially working from an outdated version, and the mental gymnastics required to navigate labyrinthine folder structures.

The Cognitive Load of the "Data Swamp"
Psychologists define cognitive load as the total amount of mental effort being used in the working memory. In AEC, this load is often pushed to the breaking point. When a senior architect or lead engineer is forced to break their design flow to spend 15 minutes trekking through a "data swamp" for a specific submittal or a localized detail, they aren't just losing time. They are experiencing a jarring context switch that shatters focus and elevates stress.

This friction is a silent productivity killer. It forces the brain to shift from high-level creative problem-solving to low-level administrative sorting. Once that focus is broken, research suggests it can take upwards of 20 minutes to return to a deep "flow state." In an industry where precision is everything, this constant interruption is more than an inconvenience—it’s a systemic risk.

Reclaiming the Flow State
GrabThat is designed to eliminate this friction entirely. By allowing users to "summon" files using natural language, the software moves the task of file retrieval from the conscious, effortful brain to the background. Instead of manually clicking through server paths or trying to remember if a file was named "v2_final" or "v2_final_revised," you simply ask for what you need.

This seamless interaction allows professionals to remain in the flow state—that elusive cognitive zone where the highest level of craftsmanship and problem-solving occurs. When you can simply ask for the "latest site plan" or "HVAC schematics for the third floor" without leaving your workspace, your brain stays engaged with the design problem, not the file system.

Seamless Augmentation, Not Replacement
One of the greatest hurdles in implementing new technology is the "onboarding tax"—the time and energy required to learn a new platform or migrate data. GrabThat eliminates this hurdle by design. It is not a new platform that replaces your existing tools; it is a sophisticated augmentation of your existing workflows.

Employees do not have to change their habits, learn a new interface, or move their files. GrabThat sits quietly in the background, liberating the team from the small, cumulative barriers faced during every digital interaction in the design process. It bridges the gap between the user and their data, making existing server structures feel transparent rather than obstructive.

Absolute Data Sovereignty and Security
In an era where data breaches and AI privacy concerns are at the forefront of corporate risk management, GrabThat offers a paradigm shift in security. Unlike typical AI tools that rely on cloud processing, GrabThat is built on a foundation of total data sovereignty:

Local Processing: The AI engine runs entirely on the user’s local machine. This ensures that the computational power used to index and retrieve your files is contained within your own hardware.

Zero External Access: The system does not access online sources, nor does it send your proprietary data to external cloud AI models for "training."

Permanent On-Premise Storage: Your data lives permanently on your corporate servers. GrabThat works within the strict confines of your current security systems and firewall protocols.

By keeping everything internal, GrabThat ensures that sensitive intellectual property, client contracts, and confidential blueprints never leave the safety of your controlled environment.

A Focus-First Culture
Implementing GrabThat is more than a technical upgrade; it is a fundamental commitment to your team’s mental well-being. By reducing cognitive load and respecting the sanctity of the professional's focus, you provide your team with the space they need to be creative, precise, and efficient.

In a competitive market where employee retention and precision are paramount, a culture that values expertise over administration is your greatest competitive advantage. GrabThat ensures your team spends their brilliance on the project, ensuring that the final build is a testament to their skill, not their ability to manage a file system.

grabthat.ai

AEC leaders, how can you help me reduce mental fatigue and augment workflows within project teams?

Advenser is a leading engineering service provider specializing in VDC, BIM, and CAD solutions for the construction industry. With a team of over 300 skilled engineers across architectural, façade, structural, and MEP domains, Advenser supports contractors, architects, engineers, and construction companies in effectively integrating BIM technology into their projects. The focus is on delivering solutions that align with project timelines, industry standards, and budget constraints while ensuring optimal return on investment.

Established in 2007, Advenser has built a strong presence in the global AEC industry. The company offers tailored and customized engineering solutions that cover the entire project lifecycle, from design development to as-built BIM modeling. With its primary engineering center in India and operations extending across the USA, UAE, and Australia, Advenser combines technical expertise with cost-effective delivery, ensuring consistency, accuracy, and efficiency in every project undertaken.

By leveraging advanced technologies and modern practices such as Integrated BIM Project Delivery (IPD), Advenser enables clients to achieve project goals within predefined timelines and quality benchmarks. The company works with a wide range of clients, including construction firms, general contractors, architects, and product manufacturers, helping them streamline workflows, reduce errors, and enhance overall project coordination.

With more than a decade of experience in the industry, Advenser understands that each client has unique requirements. The team invests significant time in understanding project specifications, standards, and workflows to deliver solutions that are aligned with client expectations. The delivery approach bridges the gap between design concepts and real-world constructability through detailed virtual modeling, enabling better visualization and decision-making.

Advenser follows a system-driven production process supported by a well-defined quality assurance framework. This ensures that every project meets the highest standards of accuracy and consistency. By functioning as a virtual extension of the client’s team, Advenser provides the flexibility needed to scale resources and adapt to changing project demands, allowing clients to focus on their core operations without concerns about drafting, modeling, or detailing requirements.

The Advenser Advantage

Partnering with Advenser at any stage of the project lifecycle provides access to a highly experienced engineering team with expertise across multiple disciplines. The team’s proficiency in advanced modeling and detailing software enables them to handle complex project requirements with precision and efficiency. Their cross-functional capabilities allow seamless collaboration across architectural, structural, and MEP domains, ensuring integrated project delivery.

The combination of a strong knowledge base, extensive project experience, and modern infrastructure makes Advenser well-equipped to support diverse project needs. The company has successfully delivered over 5000 projects, demonstrating its capability to handle projects of varying scale and complexity.

Why Advenser

Advenser offers a comprehensive range of BIM solutions tailored to the AEC industry. The organization is supported by state-of-the-art infrastructure and follows a structured “Best Project Practice” (BPP) production process to ensure efficiency and consistency. A refined quality assurance system further strengthens the reliability of deliverables.

The team consists of well-qualified professionals with deep domain expertise and exposure to international BIM standards. Continuous technology upgrades ensure alignment with the evolving demands of the construction industry. Additionally, Advenser provides flexibility in resource allocation, enabling clients to scale teams based on project requirements.

Through a combination of technical expertise, process-driven execution, and client-focused delivery, Advenser continues to support the construction industry with high-quality engineering solutions that enhance project efficiency and overall performance.

Advenser

ADVENSER is a leading engineering service provider specializing in VDC, BIM, and CAD solutions for the construction industry.

OTJ Architects is a premier architecture and design practice that partners with leading organizations at pivotal moments of transition in their growth and development. With a national presence and a diverse portfolio, OTJ delivers enduring, human-centered solutions that promote diversity, wellness, and sustainability across a wide range of sectors, including commercial real estate, corporate workplaces, government, life sciences, multifamily residential, arts and culture, education, and nonprofit organizations.

At the core of OTJ’s philosophy is a commitment to aligning design with each client’s mission, operational needs, and long-term goals. The firm’s intelligence-based approach leverages industry-specific research, data-driven insights, and evidence-based strategies to inform design decisions. Rather than relying solely on intuition, OTJ grounds its work in measurable outcomes, ensuring that each project maximizes the value of the built environment and supports organizational performance.

OTJ’s digitally native process further distinguishes its practice. As early adopters of emerging technologies, the firm integrates artificial intelligence, advanced visualization tools, and robust data management systems into its workflows. This digitally integrated approach accelerates project delivery, enhances collaboration, and reduces uncertainty throughout the design process. Clients are empowered with clearer insights and more informed decision-making, resulting in higher confidence and better outcomes.

The firm’s brand-driven design methodology ensures that every space communicates a client’s identity and culture with clarity and impact. OTJ approaches each project holistically, weaving together architecture, interiors, and experiential design to create environments that resonate with users and reinforce brand values. From workplace strategy to specialized environments such as laboratories, secure facilities (SCIF), and theaters, OTJ tailors its services to meet complex and evolving client needs.

Human-centered design remains a guiding principle across all OTJ projects. The firm prioritizes the wellbeing, productivity, and experience of the people who inhabit the spaces it creates. By fostering collaboration, inclusivity, and innovation, OTJ designs environments where individuals and organizations can thrive. This commitment is reinforced by a strong focus on wellness and sustainability, supported by a team of LEED and WELL Accredited Professionals who develop solutions that balance environmental responsibility with economic viability.

OTJ’s impact is reflected not only in its design work but also in measurable client outcomes. Firm-wide studies show that 94% of clients report improved efficiency, 93% report increased productivity, and 92% note enhanced brand image as a result of OTJ’s design solutions. These metrics underscore the firm’s ability to translate strategy into tangible value.

Signature projects highlight OTJ’s breadth and expertise, including innovative workplaces for organizations such as Booz Allen Hamilton, Five Guys, PBS, Adobe, BMW, and the NAACP Legal Defense Fund. The firm has also led transformative projects like the adaptive reuse of Visitation Frederick into a mixed-use and hospitality destination, the design and delivery of the Venue at Thunder Valley Casino Resort, and the renovation of the iconic Martin Luther King Jr. Memorial Library in Washington, D.C.

Through a combination of strategic thinking, technological innovation, and a deep commitment to people and the environment, OTJ Architects continues to shape spaces that drive performance, reflect identity, and create lasting impact. For more information, please visit otj.com.

OTJ Architects

OTJ Architects is a leading architecture and design firm partnering with organizations during key moments of transition. With offices nationwide, OTJ delivers human-centric solutions that promote diversity, wellness, and sustainability across commercial real estate, corporate, government, life sciences, multifamily, arts, culture, education, and nonprofit sectors.

The Practical Starting Point for AEC AI Strategy

For most AEC firms, the biggest obstacle to adopting AI isn’t the technology itself it’s the “data mess.” Project files, CAD standards, and Revit models are often scattered across disconnected servers, legacy systems, and inconsistent folder structures. Before any meaningful AI strategy can take shape, firms need to first understand how their teams actually interact with this fragmented information environment on a day to day basis.

Our application is a lightweight Windows-based tool that sits directly on individual workstations. It addresses one of the most common and overlooked inefficiencies in AEC workflows: the “file hunt.” Instead of navigating through multiple layers of folders or relying on tribal knowledge, an engineer can simply type a request such as, “Open the latest Highway 99 drainage standards,” and the application locates and launches the correct file instantly.

This may seem like a small improvement, but when multiplied across teams and projects, it represents a meaningful shift in how work gets done.

How This Builds Your AI Strategy

While your team is saving 15–20 minutes of billable time each day, the system is simultaneously performing two critical background functions that lay the foundation for a scalable AI strategy.

Mapping Your Corporate Memory
The tool continuously identifies where valuable resources actually live across your firm’s network. Over time, it transforms what is typically a “dark” and unstructured file system into a searchable, navigable map of your organization’s expertise. Instead of relying on individuals to know where things are, the system begins to surface that knowledge automatically.

Recording Workflow DNA
At the same time, the application captures anonymized data on how your team works. You gain visibility into which standards, templates, and files are used most frequently, and where inefficiencies or bottlenecks exist. This “user interaction layer” becomes incredibly valuable. It provides a data-driven understanding of your workflows, which is essential when deciding where automation or AI can have the most impact.

In other words, before you automate, you need to understand and this is how that understanding is built.

Zero-Risk, Local Execution

One of the biggest barriers to AI adoption in AEC is concern around data security and compliance. This approach removes that barrier.

Because the AI operates entirely on the user’s local machine, no project data leaves your environment. It respects your existing permissions, folder structures, and security protocols. There is no need for a major IT overhaul, cloud migration, or lengthy security review process.

Firms can begin implementing and seeing value almost immediately, without introducing additional risk.

Shape the Future by Fixing Today

What makes this approach powerful is that it does not require a dramatic shift in how teams work. It simply improves what they are already doing.

By solving a very real, everyday problem finding the right file you are also laying the groundwork for something much bigger. You are building the data layer, visibility, and insight needed to support future AI initiatives.

In many ways, this is the most practical entry point into AI for AEC firms. Start by reducing friction today, and in doing so, quietly collect the intelligence needed to shape tomorrow’s strategy.

Rhombic

This is the starting point of your AI strategy roadmap, start shaping your firm's future today.

This platform integrates natural language into existing AEC workflows, boosting efficiency while capturing usage patterns. By identifying how your company accesses project resources, you build the essential data foundation for long-term AI adoption.

KlashBIM is a next-generation clash management tool designed to enhance efficiency in BIM-based construction projects. Unlike conventional clash detection software, KlashBIM not only identifies conflicts but also streamlines the documentation and reporting process, ensuring a seamless workflow for MEP and structural coordination. 1. Automated Clash Detection for Accurate Model Validation KlashBIM precisely detects clashes within BIM models, ensuring that conflicts between MEP and structural components are identified before construction begins. By automating clash detection, KlashBIM helps teams create more reliable designs, minimizing errors and reducing costly rework on-site. Its accuracy ensures that potential issues are flagged early, allowing project teams to make informed decisions during the design phase. 2. Customizable Documentation &amp; Reporting KlashBIM enhances project documentation by generating detailed and structured reports tailored to specific project needs. These reports provide a clear overview of detected clashes, their locations, and project-wide coordination insights. With customizable reporting options, project teams can extract relevant data efficiently, ensuring all stakeholders have the necessary information for effective collaboration. 3. AI-Powered Integration with BAMROC for Enhanced Clash Management While KlashBIM specializes in identifying and documenting clashes, it integrates seamlessly with BAMROC to facilitate AI-powered clash resolution. This integration enables smarter processing of detected clashes, ensuring that conflicts can be analyzed and resolved efficiently when used alongside BAMROC. The synergy between KlashBIM and BAMROC creates a streamlined workflow for managing design conflicts in BIM projects. 4. Seamless BIM Workflow Integration KlashBIM is designed to work effortlessly within existing BIM environments. It is compatible with major BIM platforms, allowing construction teams to incorporate its clash detection and documentation features without disrupting their workflows. This seamless integration ensures smooth coordination between different project disciplines, improving communication and reducing project delays. 5. Enhancing Project Efficiency Through Advanced Clash Management By focusing on precise clash detection, structured documentation, and seamless BIM integration, KlashBIM optimizes construction workflows and reduces inefficiencies. It ensures that all detected clashes are well-documented, improving collaboration and preventing oversight in project execution. With its advanced capabilities, KlashBIM is an indispensable tool in modern construction management, helping teams maintain accurate designs, minimize errors, and improve overall project coordination.

KlashBIM

InspectMind AI helps engineers review hundreds of pages of drawings in minutes instead of hours.
InspectMind AI is an AI-powered plan review and code compliance platform built for the architecture, engineering, and construction (AEC) industry. The platform automatically analyzes construction drawings, engineering plans, and technical documents to identify code violations, design inconsistencies, and constructability issues before projects move into permitting or construction.
Traditional plan review and QA processes require engineers, architects, and reviewers to manually analyze hundreds or thousands of pages of drawings. This process is time-consuming, expensive, and prone to human error. InspectMind AI accelerates this process by using advanced artificial intelligence models trained on construction drawings, building codes, and engineering standards.
Users upload their project plans directly to InspectMind, and the AI system analyzes the drawings sheet-by-sheet. The platform detects issues such as missing details, dimension conflicts, structural inconsistencies, accessibility violations, and code compliance risks. InspectMind then generates a structured report highlighting the detected issues along with visual references to the affected drawings.
The platform is designed for engineers, architects, developers, contractors, plan reviewers, and government agencies who want to reduce risk and improve design quality. By catching issues early in the design process, InspectMind helps teams avoid expensive rework, delays during permitting, and construction change orders.
InspectMind AI supports a wide range of building codes and standards including IBC, ADA, NFPA, and local jurisdictional codes. The system can analyze architectural drawings, structural plans, engineering reports, and construction documentation.
Typical workflow:
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Upload drawings Users upload their architectural or engineering plans directly into InspectMind.
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AI plan analysis The AI analyzes the full drawing set, identifies potential issues, and compares plans against applicable building codes.
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Review results Users receive a detailed issue report showing potential risks, code conflicts, and recommended corrections.
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</ol>
InspectMind AI dramatically reduces manual review time, improves plan quality, and helps project teams move faster from design to construction.

InspectMind AI

Catch construction mistakes before they get built

AI-Powered Site Documentation: An InspectMIND Case Study

Featuring InspectMind AI at the AEC Innovate Conference

Featuring InspectMIND at the AEC Innovate Conference

Tools Leading the Way in the AEC+Tech Community

Using AI to Automate Building Inspections

EGNYTE CONTENT CLOUD Unlock the full potential of your mission-critical content by simplifying collaboration, improving productivity with AI, and addressing information governance. PLATFORM The Egnyte Platform provides robust, secure, and compliant infrastructure that can be customized and scaled to match your business needs. Faster Time to Value Egnyte delivers immediate value with little or no customization but can tailor its offering to meet your business needs and integrate with your environment. Trusted by IT Leaders Thousand of IT leaders appreciate Egnyte&rsquo;s ease of deployment combined with a secure and compliant architecture. Loved by End-users End-users love working with Egnyte because of its accessibility from wherever they work, without forcing them to alter established processes and behavior. COLLABORATION Collaborate on mission-critical content with distributed teams working from an office, from home, or on the go. Collaborate Efficiently Empower teams to work efficiently and confidently, accelerating project timelines while protecting valuable content. Manage Complex Files Efficiently collaborate on mission-critical content and empower teams that work with large, complex files (up to 250 GB) in the cloud. Streamline Workflows Enhance workflows, improve productivity, drive project momentum, and ensure secure interactions across teams and partners. INTELLIGENCE Drive productivity and innovation with private and secure AI grounded in your company's data. Get fast answers, surface insights, create summaries, and perform actions via a simple, intuitive interface built into users&rsquo; workflows. Private Egnyte&rsquo;s AI respects your governance model and adheres to user-specific permissions, protecting your data with stringent privacy, compliance, and security standards. Purposeful Get accurate, relevant, and traceable answers from your data, with complete control over data sources and AI prompts. Practical Integrate AI seamlessly into existing workflows without moving data out of Egnyte, eliminating the need for new tools or special skills. GOVERNANCE Proactively Address Rapidly Evolving Cyberthreats and Manage Compliance Requirements Defend Against Ransomware Proactively manage the threat of ransomware; detect known ransomware artifacts; keep pace with rapidly-evolving ransomware variants; take immediate action when users experience attacks; and recover quickly from successful attacks using Snapshot Recovery. Protect Sensitive Content Identify and review sensitive content including Personally Identifiable Information (PII), Payment Card Industry Data Security Standard (PCI-DSS) data, and Controlled Unclassified Information (CUI); take immediate corrective action to protect exposed data; strengthen your compliance with global data privacy regulations such as GDPR and CPRA; and continuously improve sensitive data protection. Manage Regulatory Compliance Comply with cybersecurity and data privacy standards, such as CMMC, ISO 27001, and the CPRA; detect data that&rsquo;s subject to compliance and data privacy standards; keep pace with rapidly-evolving international privacy and cybersecurity standards; and benefit from Egnyte&rsquo;s deep compliance experience. Remediate Security Issues Mitigate risk associated with common security vulnerabilities like publicly exposed document links and potential ransomware; automatically respond to suspicious Egnyte login attempts; and enable your team to focus on threats most likely to significantly impact your company. Keep Data Confidential Create virtual data rooms (VDRs) for secure collaboration with external entities; generate Document Rooms in support of M&amp;A, asset sales, and investment fundraising initiatives; watermark previewed files to limit the risk of data breaches; gain real-time insights into users&rsquo; document access activity; and terminate external entities&rsquo; access when projects are completed, for peace of mind.

Egnyte Architecture Engineering and Construction Video

GBBN makes end users happier and more productive with Egnyte rollout

Egnyte

3 Ways Egnyte Helps AEC Firms Tap Into the Public Cloud 

Unlocking the Power of Cloud Data in Architectural Practice

Featuring Egnyte's aec+tech Talk: Unlocking the Power of Cloud Data in Architectural Practice

Featuring Egnyte’s article, case study, aec+tech event, and 2025 Egnyte’s Global Summit

Featuring Egnyte's Webinar: How to Find a Trusted AI Vendor

Featuring Egnyte at the AEC Innovate Conference

Egnyte's Article: A Practical, Purposeful, and Private Approach to AI Adoption in AEC; Article with Aaron Vorwerk

Speaking about Egnyte at the conference presentation

Zweig Group Article by aec+tech: Tools Leading the Way in the AEC+Tech Community

Featuring AIA Presentation: AI & AEC with Aaron Vorwerk

Featuring Egnyte: AI-powered Content Cloud Platform for AEC

With ARES Commander, users can work both locally and with files stored in the cloud to improve collaboration. Sync files across users and devices. Create and modify DWG drawings in 2D and 3D, leveraging the drafting and design features that you&rsquo;ve come to expect &mdash; all at a significant cost savings. ARES Commander can stand alone or coordinate with ARES Touch and ARES Kudo to form the Trinity of CAD, unlocking productivity-boosting collaboration features. ARES Commander by Graebert is a powerful and flexible CAD solution designed for professionals who require full-featured 2D and 3D drafting capabilities in native DWG format&mdash;without the high costs or limitations of traditional CAD software. Compatible with Windows, macOS, and Linux, ARES Commander is part of the ARES Trinity suite, which includes access to cloud-based editing through ARES Kudo and mobile capabilities via ARES Touch, all under a single license. One of the key strengths of ARES Commander is its seamless DWG compatibility, allowing users to create, edit, and share files without worrying about format issues. The software includes robust 2D drafting tools, 3D modeling functions such as push/pull editing, and support for dynamic blocks, splines, and parametric features. Beyond the desktop, the ARES Trinity ecosystem enables real-time collaboration through cloud integration, supporting services like Google Drive, OneDrive, and Dropbox. Users can work from anywhere, review drawings on-site, share view-only links with stakeholders, and keep track of revisions with built-in version control and commenting tools. ARES Commander also bridges the gap between CAD and BIM. It allows the import of Revit and IFC files, from which users can extract 2D drawings, automatically generate annotations, and streamline documentation workflows. This functionality makes it easier to work alongside BIM teams while staying within familiar CAD environments. The user interface has been continually refined to support productivity and ease of use, with the latest versions offering customizable workspaces, AI-assisted tools, and a simplified transition path for users coming from other platforms like AutoCAD. ARES Commander is widely adopted across industries, from architecture and engineering to construction and manufacturing. It's known for its solid performance, affordability, and flexibility, offering a complete CAD solution that meets the demands of modern workflows. Whether working independently or as part of a larger team, users appreciate its robust toolset, intuitive design, and commitment to innovation.

Files created in ARES Commander can also be accessed in ARES Kudo or ARES Touch.

ARES Commander includes BIM drawings automation features.

The ARES Trinity of CAD Software: Create and Modify DWG Files with Modern Collaboration Tools

ARES CAD Software: Top 10 Trinity Features Outperforming AutoCAD | Expert Review by Architosh

DWG Drawings Automation for BIM - ARES Commander Product Review | Niknaz Aftahi of aec+tech

BIM Drawings Automation: From Revit & IFC to DWG in ARES Commander

450+ Dynamic Blocks in Tool Palettes and Trinity Block Library in ARES Commander

AI for CAD in DWG: ARES AI Assist (aka A3) 

Switch from AutoCAD or other AutoCAD Alternatives to ARES effortlessly

ARES Commander | N°1 AutoCAD Alternative for DWG CAD Software on Windows, Mac and Linux

ARES Commander

ARES Commander Standalone [Perpetual License]

ARES Commander [Perpetual License] with Trinity

ARES Commander Flex / Network Seat [Perpetual License]

ARES Commander runs on Windows, MacOS, and Linux platforms.

Featuring Graebert at the AEC Innovate Conference

Melt Code is the first building code research AI built for accuracy, transparency, and real compliance decision-making. Unlike generic AI tools that behave like black boxes, Melt Code doesn&rsquo;t just provide an answer &mdash; it shows the full research process so architects and engineers can verify every step and confidently defend their decisions.
Users can ask code questions in plain English and receive reliable, project-specific requirements with:
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Step-by-step reasoning with clear assumptions
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Direct citations to exact code sections for full traceability
</li>
<li data-start="928" data-end="1139">
Compliance Paths, mapping multiple valid routes to compliance (based on occupancy, construction type, sprinkler conditions, height/area limits, ratings, etc.) so teams can choose the best design approach
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Exception and cross-reference handling, including circular references across multiple chapters
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Table and diagram understanding, ensuring accurate interpretation of code tables and figures
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Built-in calculations, such as occupant loads, egress sizing, travel distances, and fixture counts
</li>
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Personalized compliance illustrations, automatically generated to visually explain requirements for a specific project scenario
</li>
</ul>
Beyond research, Melt Code includes workflow tools that turn compliance into an organizational asset:
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Projects, where teams store project context (location, occupancy, construction type, sprinkler status, etc.) so every question becomes instantly project-aware
</li>
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Checklists, allowing firms to build, store, share, and export reusable compliance checklists across teams and project types
</li>
</ul>
The result is dramatically faster research, fewer senior escalations, reduced consultant dependence &mdash; and most importantly, confidence and peace of mind in every code decision.

Melt Code

Pirros is the AI project hub for architects and engineers. Our mission is simple: make managing projects easier for firms. We reduce the burden of producing hundreds of details and families per project by giving designers instant access to everything their firm has developed in the past. Rather than spending hours digging through cluttered folders on a server or rebuilding content that already exists somewhere in the archive, Pirros centralizes every detail and family a firm has produced and makes them accessible with a simple search.
Pirros was started by two structural engineers turned entrepreneurs. Ari and Peter spent time at a handful of different design firms and kept experiencing the same problems when it came to retrieving and managing Revit content. The technology industry has overlooked the AE design space and the strategic importance of details and families to a firm's success. Pirros is on a mission to change that.
The four pillars of Pirros:
<ol class="[li_&amp;]:mb-0 [li_&amp;]:mt-1 [li_&amp;]:gap-1 [&amp;:not(:last-child)_ul]:pb-1 [&amp;:not(:last-child)_ol]:pb-1 list-decimal flex flex-col gap-1 pl-8 mb-3">
<li class="font-claude-response-body whitespace-normal break-words pl-2">No upfront work. Upload and instantly search across projects without manual tagging or naming conventions. Powered by a direct ACC integration, firms get tens of thousands of details and families onto Pirros within 24 hours.</li>
<li class="font-claude-response-body whitespace-normal break-words pl-2">Search by composition, not tag. Find details and families based on what the element actually is, not what its tags say. Powered by a proprietary blend of AI, computer vision, and OCR.</li>
<li class="font-claude-response-body whitespace-normal break-words pl-2">Share universally. Share Revit details and families as universal PDFs with colleagues and partners outside of Revit, accelerating collaboration, content approvals, and new hire onboarding.</li>
<li class="font-claude-response-body whitespace-normal break-words pl-2">Built-in QA workflows. Review and approve standard content automatically surfaced based on analytics across projects. Approval workflows live inside the platform instead of in committee meetings and email chains.</li>
</ol>
Pirros is backed by Y Combinator, SOC 2 certified, and trusted by leading AE firms across North America, Australia, and the UK.
&nbsp;

The Context
Despite decades of investment in BIM, architectural documentation remains heavily manual. Teams continue to spend significant time on repetitive production tasks, manual QA/QC, and enforcing standards across drawings, views, and schedules.
At scale, this creates inefficiency, late-stage rework, and coordination risk, while contributing to burnout across documentation teams. Existing automation is often fragmented or difficult to apply consistently within live project models, limiting its effectiveness in everyday production work.
SketchPro is being actively deployed at top architecture firms to address this gap by embedding AI directly into architectural documentation workflows.
The Question
How can AI support architectural documentation&ndash; QA/QC, standards alignment, and repetitive production work&ndash; while keeping architects in control, preserving authorship, and respecting firm-specific standards and workflows?
The Approach
SketchPro is an AI documentation copilot embedded directly within Revit, designed to operate on live project models, views, schedules, and sheets. The system is developed around three core principles:
<ul>
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No workflow disruption Al actions occur inside the same Revit environment already used by project teams for documentation. No exporting, syncing, or parallel tools required.
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Architect-in-the-loop control All actions are previewed, reviewable, and reversible, ensuring professional judgment remains central to decision-making.
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Firm-specific intelligence Rather than applying generic rules, the system adapts to project standards, naming conventions, and documentation logic defined by each practice with an &ldquo;AI Knowledge Base&rdquo; set up by admins from each firm.
</li>
</ul>
The Collaboration Model
SketchPro is being deployed in collaboration with architecture firms working across a range of scales, typologies, and geographic locations, including educational, multifamily, and commercial projects. Ongoing collaboration ensures the platform addresses real documentation pain points such as QA/QC consistency, annotation cleanup, and standards alignment within live projects.
The Results
Across partner firms, teams report:
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Standardized preferences across projects with AI
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30% reduction in documentation time across major tasks like sheet creation, dimensioning, schedules, and QA/QC
</li>
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20% more capacity to do more projects with their current team
</li>
</ul>
AI is experienced as a support system rather than a replacement. Junior staff report increased confidence and productivity, while senior staff retain full control over technical decisions.
Key Takeaways
Successful AI adoption in architecture depends less on automation alone and more on customization, transparency, and trust in the technology.
By embedding AI directly into documentation workflows and aligning it with the realities of architectural practice, SketchPro illustrates how AI can strengthen existing processes rather than disrupt them, supporting efficiency, quality, and professional judgment.

SketchPro allows you to go from a hand-drawn sketch to a fully rendered design

Firm-specific intelligence based on a custom, internal knowledge base

Mentor mode provides model-specific guidance

QAQC Audit using your firm's standards and checklists

SketchPro.ai

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Why choose Ideate BIMLink?
Linking Revit and Excel with Ideate BIMLink enables you to export data from Revit to Excel, streamlining data management tasks and dramatically reducing the time they take to perform. By creating a bidirectional connection between the model and a spreadsheet environment, teams can extract large volumes of element data, edit parameters in bulk, validate information, and apply changes using Excel&rsquo;s powerful sorting, filtering, and formula tools. This eliminates the need to manually open and edit individual elements in Revit, significantly reducing repetitive work and the risk of human error.
Importing data from Excel back into Revit means that your models are instantly updated with approved changes, helping ensure they remain clean, coordinated, and accurate. Ideate BIMLink provides access to nearly all instance and type parameters, including many that are difficult to manage efficiently using native Revit schedules alone. This expanded access gives teams greater control over project data, improves consistency across models, supports internal standards, simplifies model auditing, and strengthens overall data governance practices. It also enables collaboration with stakeholders who may not work directly in Revit but can safely contribute through structured Excel-based workflows.
Boost the Power of Ideate BIMLink with Ideate Automation
Add Ideate Automation to your subscription* to reduce the cost of repetitive BIM tasks by letting them run in the background while your staff focuses on higher-value work. This scripting solution can be run manually or scheduled to operate at convenient times, providing just-in-time insight into key Revit model metrics while automating essential workflows such as:
Producing document issue records Exporting PDFs Exporting health check data Preparing COBie data drops Generating quantity takeoff data
By automating these recurring processes, teams improve efficiency, strengthen data accuracy, increase consistency, reduce risk, and deliver more predictable project outcomes without interrupting daily production workflows across projects.
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Ideate BIMLink - Overview on Data Management

Ideate BIMLink

McLaren Construction Group, a UK-based construction and property development company, implemented a digital construction strategy to improve consistency, reduce design risk, and accelerate project readiness across its portfolio. The company works across commercial, residential, refurbishment, education, healthcare, and complex data center projects, where early-stage design coordination and reliable model data are essential for controlling cost, quality, and delivery risk.

One of the key challenges was inconsistency across projects. External consultants used different design methodologies and software workflows, which created cross-platform compatibility issues, data inconsistencies, and limited McLaren’s ability to compare project information across regions and sectors.

McLaren made IFC the baseline for its digital construction strategy and selected Solibri to support automated design and regulatory compliance checking. Solibri was implemented earlier in the project lifecycle, not only for clash detection or model viewing, but to validate compliance before issues could affect construction. This included tailored compliance frameworks, classifications, and templates developed with Evolve Consultancy, alongside training for McLaren’s digital construction teams.

By using Solibri to check design compliance early, McLaren improved consistency across projects, increased confidence in design readiness, and reduced the likelihood of costly rework. Solibri also became part of McLaren’s tender-stage and project-start workflows, helping the company demonstrate a higher level of quality assurance to clients and mobilize project teams with greater confidence

McLaren’s digital construction strategy: design compliance to de-risk construction

We lead the construction industry in quality control. No more stumbling blocks. Constructing flawless buildings is now easier than ever. Solibri Office imports building models from all major BIM software using the standardized IFC interface. It identifies potential problems early, preventing issues during construction and beyond, ensuring smooth project execution and long-term building performance. Solibri offers the most advanced and comprehensive library of customizable rule templates to tackle the most demanding quality assurance tasks. Choose from over 70+ predefined rule templates or customize your own to ensure no stone is left unturned. Go beyond clash detection and take your BIM quality to the next level. Solibri offers a wider range of checking capabilities than any other tool in the market: geometry, clearance, accessibility, information &amp; property checking, building code compliance, model revision, fire safety and more. Solibri understands your role and offers you a set of rules, classifications, and reporting templates that you can customize to match your company, project, local, or national needs. Use organizational tools like classifications and filters to streamline model checking, to takeoff quantities and data, or to visualize the BIM data/components in the model. Information takeoff allows you to extract quantities based on different criteria more easily. Share the information using your own customized Excel templates. Information takeoff allows you to extract quantities based on different criteria more easily. Share the information using your own customized Excel templates. Share project information and collaborate seamlessly and reliably through Solibri&rsquo;s integrations, BCF Live Connector and API. Automate tasks, such as running checks, exporting the identified issues as BCF files and creating presentations, and run them at a convenient time with Solibri Autorun. Easily integrate with your workflows: Solibri is founded on openBIM standards to foster interoperability and enable transparent, open cooperation among all project participants. This allows model authors and collaborators to connect Solibri's quality assurance capabilities with the tools of their choice.

Solibri Office

Eight categories reveal how AEC technology evolved on aec+tech.

Building Better with BIM QA: 2025 Interview with Solibri

Checking Revit Models in the Cloud with Solibri

Featuring Solibri at the AEC Innovate Conference

Project Background
The engagement focused on bringing a large UK healthcare federated BIM model into a costed, programme-linked and auditable state — the bottleneck most digital engineering teams hit between authoring a Revit or IFC model and feeding it into cost planning, procurement and risk reporting.
The Challenge
The project's federated model carried 23,466 elements across a 4,500-file project folder: native Revit content from multiple disciplines, NHS Activity DataBase (ADB) codes on every fitting, an external procurement schedule with confirmed sub-contract values, a contract programme exported in a revision-tracking format, and 42 specification PDFs scattered across handover folders. The work normally done by a quantity surveyor — manually mapping element schedules to NRM2 categories, reconciling against the Bill of Quantities, and refreshing the result for every variation — was the bottleneck in cost planning and programme risk analysis. 5D BIM investment over the last decade has moved this bottleneck without shrinking it.
The Approach
Leveret Systems built an agentic processing layer that quantifies a federated BIM model end-to-end while preserving auditability. The architecture is hybrid by design: deterministic rules narrow the work before any AI reasoning is applied, schemas reject malformed answers at the boundary, citations are enforced as code, and a project-by-project knowledge layer accumulates so subsequent runs converge faster. Items the agent cannot confidently resolve route to a tightly-scoped human review queue rather than being silently committed — in a domain where a QS has to defend every line, that abstention behaviour is the safety feature.
The pipeline integrates with existing tools rather than replacing them: Revit and IFC inputs through Autodesk Platform Services, Primavera P6 or revision-tracking spreadsheet programmes, procurement schedules in NEC, JCT or bespoke layouts, and specification PDFs indexed for retrieval-augmented review.
The Result
The validation pipeline processed all 23,466 model elements from the 4,500-file project folder in under four minutes. Deterministic rules classified nearly half of the elements before any LLM reasoning fired. The agentic layer committed on a further large slice with median confidence above 0.9. The remainder routed to a tightly-scoped review queue with citation context. Every committed classification carries an auditable trace back to its source — the property field on the model, the specification page, the procurement schedule row, or the prior decision on a similar element earlier in the project. Within a single project, the accumulated knowledge layer already resolves roughly a third of elements on rerun without firing the agentic stack at all.
The Wider Value
Once a federated BIM model is quantified and linked to procurement, programme and specification context, the federated model itself becomes a live system: each element gains an extensible state vector (planned, specified, design approval, procured, material on site, installed, signed off) with each transition written back to the model with a citation. This is the layer Leveret is building next — quantification delivered today, live federated state in active development, integrations tuned per engagement.
Engagement Options
Leveret Systems delivers this in two modes. Per-project engagements (one to three weeks) suit teams who need a single model quantified, reconciled and structured for risk and cost analysis on a specific job. Strategic embedded engagements (four to six months) suit organisations who want the pipeline tuned to their tools and embedded in their delivery process — the code, the architecture and a clone of the cross-project knowledge layer transfer with the engagement.
For contractors with procurement schedules that drift, architects with project folders that have grown organically across teams, developers who want real programme risk visibility, and PMOs who have stopped trusting their own status reports — that is the conversation Leveret Systems wants to have.
Contact: leveretsystems.co.uk · ejoubert@leveretsystems.co.uk

Agentic Quantification of a Federated Healthcare BIM

Leveret Systems is a UK-based agentic AI engineering consultancy that builds the live layer between federated BIM models and the contract documents that surround them &mdash; programme, procurement, cost plans, specifications and standards. The service quantifies a federated Revit or IFC model end-to-end, classifies every element against project context, and produces a continuously refreshable view that downstream cost planning, programme risk analysis and compliance audit can read as a function rather than a static export.
The architecture is hybrid by design. Deterministic rules narrow the work before any AI reasoning is applied &mdash; the cheap, fast, predictable layer carries the bulk of the classification, and reasoning models handle only the ambiguous tail. Schemas reject malformed answers at the boundary, citations are enforced as code, and items the agent cannot confidently resolve route to a tightly-scoped human review queue rather than being silently committed. In a domain where every line of a Bill of Quantities must be defensible, that abstention behaviour is the safety feature.
Each engagement contributes to a project-by-project knowledge layer that accumulates across the lifecycle. Subsequent runs converge faster as the layer learns the project's specific Activity DataBase codes, NRM2 mappings, supplier patterns and specification conventions. Within a single project we already observe roughly a third of elements resolving from the knowledge layer alone on rerun, without firing the agentic stack at all. The same effect is designed to compound across engagements.
The service integrates with existing tools rather than replacing them. Revit and IFC models are ingested through Autodesk Platform Services. Contract programmes parse from Primavera P6 exports or revision-tracking spreadsheets. Procurement schedules in NEC, JCT or bespoke layouts reconcile against the model. Specification PDFs are indexed for retrieval-augmented review. The Monte Carlo input layer &mdash; activity duration distributions, supplier lead-time distributions, element-to-activity links &mdash; is structured as live data, so a critical-path kernel reads it as a function and produces P50, P80 and P95 completion windows with a tornado attributing slip to specific suppliers.
Leveret Systems delivers in two engagement modes. Per-project engagements (one to three weeks) suit teams who need a single model quantified, reconciled and structured for risk and cost analysis on a specific job. Strategic embedded engagements (four to six months) suit organisations who want the service tuned to their tools and embedded in their permanent delivery capability. The code, the architecture and a clone of the cross-project knowledge layer transfer with the strategic engagement. We are not a platform vendor; we do not replace your QS, planner or BIM manager. We give them back the week of every month they currently spend reconciling documents that ought to have been reconciled already.

Leveret Systems Agentic BIM Service

This case study from Ichi shows how DGA improved its code compliance process by using technology that is powered by Artificial Intelligence. DGA is an architecture firm that handles projects. Before DGA had to do a lot of research to find out about building regulations and zoning requirements. This took a lot of time. They had to work closely with project teams and code consultants. This made the project take longer. There was a bigger chance of making mistakes or having to make expensive changes.

When DGA started using Ichis code compliance platform they were able to make their workflow much simpler. The software helps architects find the building code sections quickly. It also analyzes project documents. Gives accurate compliance insights right away. This meant that DGA did not have to do much manual research. Project teams were able to make decisions and they were more informed during the design and permitting phases.

The case study also talks about how the platform improved the way DGAs teams worked together. Junior architects were able to get code guidance quickly. They did not have to rely on staff as much and this made the projects more consistent.

The partnership between DGA and Ichi shows how Artificial Intelligence can help architecture and construction firms work efficiently. It can also reduce the risk of projects. Speed up the time it takes to complete them. The success story of DGA shows how Artificial Intelligence is becoming more important, in planning and construction management. DGA and Ichi are an example of this. DGA is using Artificial Intelligence to make its architectural code compliance process better.

DGA Turns Hours of Code Research and Documentation into 5 Minutes with Ichi

Ichi is an AI-powered code compliance and automation platform built for architecture firms.
The platform helps architects navigate complex building codes, automate time-consuming construction administration tasks, and strengthen QA/QC across the entire project lifecycle&mdash;from early design through construction.
Designed specifically for the realities of architectural practice, Ichi augments professional expertise by automating previously manual processes, improving accuracy, and minimizing costly downstream rework. The platform supports both project-level execution and firm-wide knowledge sharing, helping teams work more efficiently while maintaining accountability and control.
Key Features
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<li dir="ltr">AI Code Compliance Reviews</li>
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Ichi enables architects to quickly search, interpret, and validate applicable building codes and jurisdictional requirements. AI-assisted guidance is presented alongside authoritative source language, allowing teams to confidently apply code requirements during design, documentation, and review&mdash;without relying on generic or unverified AI outputs.
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<li dir="ltr">Automated Construction Administration</li>
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The platform helps automate and support manual construction administration workflows, including navigating construction documents, responding to RFIs, and reviewing submittals. By reducing the time spent on repetitive coordination tasks, Ichi helps keep projects moving while easing the administrative burden on architectural teams.
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<li dir="ltr">QA/QC at Scale</li>
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Ichi strengthens QA/QC by assisting with plan set reviews, cross-sheet consistency checks, and document validation across large and complex drawing packages. This allows architects to identify issues earlier, improve document quality, and reduce risk prior to submission or construction.
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<li dir="ltr" style="font-weight: bold;">Institutional Knowledge Management</li>
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Ichi acts as a living knowledge base for architecture firms. Project-specific decisions, jurisdictional nuances, and internal best practices can be captured, shared, and reused across teams and over time&mdash;helping firms preserve institutional knowledge as staff, projects, and regulations change.
Who Should Use Ichi?
Ichi is designed for:
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Architecture firms working across multiple jurisdictions
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Design teams navigating complex or evolving code requirements
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Firms seeking to reduce QA/QC risk and rework
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Architects managing heavy construction administration workloads
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Practices looking to capture and scale internal expertise
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While built with architects at the center, Ichi also supports collaboration with engineers and contractors by improving clarity, consistency, and access to critical project information.
Why Ichi?
Ichi is purpose-built for the architectural profession. Unlike general-purpose AI tools, it is designed to operate within the constraints of real-world practice&mdash;prioritizing accuracy, traceability, and professional responsibility.
By combining AI-driven code compliance, QA/QC automation, construction administration support, and firm-wide knowledge management in a single platform, Ichi helps architects spend less time on rote tasks and more time on high-value design and decision-making. The result is better documentation, smoother project delivery, and more resilient architectural practices.
Learn More
Ichi is helping architecture firms modernize how they manage code compliance, QA/QC, and knowledge across their projects, all on one platform.
👉 Visit https://www.ichiplan.com/ to schedule a demo or learn more about how Ichi is helping architects and other AECs build cities of the future.

Ichi

Architectural Practice Optimization Through Digital Transformation and AI-Enabled Knowledge Management

This case study documents the digital transformation of an architectural practice through the adoption of an AI-enabled knowledge management system designed to optimize design workflows, construction documentation, and institutional knowledge reuse. The project addresses a widespread challenge in the architecture, engineering, and construction industry: the inefficiency caused by fragmented project data, legacy BIM files, and limited visibility into historical construction details.

Traditionally, architectural firms store design intelligence across disconnected Revit models, drawing sets, and file servers, making it difficult to locate, validate, and reuse technical information. This project demonstrates how practice optimization can be achieved by centralizing architectural data into a searchable, AI-powered system that indexes construction details, drawings, and documentation assets across multiple project types and software versions. By ARKI's AI to architectural knowledge management, the firm reduced dependence on manual file navigation and individual staff memory, improving documentation consistency and operational reliability.

From a digital transformation standpoint, the initiative reflects a shift from static file storage toward intelligent data systems that support scalable, repeatable workflows. AI-driven search, automated asset organization, and standardized detail reuse improved construction detailing efficiency, reduced rework, and enhanced quality control across projects. The approach also supported faster onboarding and improved collaboration by enabling team-wide access to approved technical content.

Overall, this case study highlights how AI-enabled knowledge management serves as a foundational layer for architectural practice optimization, enabling firms to improve productivity, reduce documentation risk, and extract long-term value from existing BIM and project data without increasing overhead or staffing levels.

Introducing 906 Studio Architects + Interiors

906 Studio Supercharged Project Delivery with ARKI

Revit is a Building Information Modeling (BIM) software developed by Autodesk, widely used across architecture, engineering, and construction disciplines. It allows users to design, model, and document buildings and infrastructure in a single, coordinated environment. In Revit, every element in a project is part of an interconnected database. Changes made to one view&mdash;such as a plan, elevation, or section&mdash;are automatically reflected in all other views of the model. This parametric relationship ensures consistency and reduces the risk of errors in documentation.
<h2 data-start="760" data-end="782">Core Capabilities</h2>
Revit supports both 2D drafting and 3D modeling, but its primary strength lies in its data-rich modeling environment. Each object in Revit is not just geometry; it carries information about its physical properties, materials, and relationships to other components. Revit includes tools for architectural design, structural engineering, and MEP (mechanical, electrical, plumbing) systems, enabling multiple disciplines to work within the same model.
The software also allows for the creation of schedules, material takeoffs, and detailed construction documentation directly from the model. Because Revit stores all information in one file, edits are reflected across all drawings, schedules, and sheets automatically. This feature is particularly valuable for coordinating complex projects where multiple people and teams are contributing to the design.
<h2 data-start="1643" data-end="1674">Collaboration and Workflow</h2>
Revit is designed to support collaboration in various forms. Worksharing enables multiple team members to work on a single project file simultaneously, with a central model managing updates. For distributed teams, Revit can integrate with cloud-based platforms like Autodesk BIM Collaborate Pro, allowing real-time collaboration across locations.
Revit also facilitates interoperability with other software used in the AEC industry. It supports import and export in multiple formats, including DWG, IFC, and DGN, and can connect with analysis tools for energy performance, structural analysis, and daylight simulations. Its API (Application Programming Interface) allows for customization and automation through tools like Dynamo, enabling advanced workflows and repetitive task automation.
<h2 data-start="2473" data-end="2500">Practical Applications</h2>
In architecture, Revit is used for conceptual design, detailed design development, and construction documentation. Engineers use Revit for structural analysis and to coordinate MEP systems with architectural and structural elements. Contractors and project managers use Revit models for quantity takeoffs, construction sequencing, and clash detection, ensuring fewer conflicts on site.
Revit is also applied in facility management, as the detailed model can serve as a digital twin of the completed building, providing valuable data for operations and maintenance.
<h2 data-start="3073" data-end="3085">Summary</h2>
Revit provides a unified environment where design, documentation, and analysis coexist in one coordinated model. Its parametric nature, data integration, and multi-disciplinary capabilities have made it a standard in the AEC industry. Whether used for designing a single-family home or a large-scale infrastructure project, Revit enables teams to work more precisely, maintain consistency across outputs, and manage complex building information in an organized way.

Revit

<h3 data-start="223" data-end="262">🔍 1. AI-Driven Semantic Search</h3>
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ARKI transforms your firm&rsquo;s past design data (Revit, AutoCAD, PDFs, drawings, etc.) into a centralized, searchable archive.
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Its semantic search understands context and meaning, so users can instantly locate relevant details without manual tagging.
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</ul>
<h3 data-start="562" data-end="600">📁 2. Central System of Record</h3>
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Acts as a &ldquo;second brain&rdquo; for your firm, consolidating internal project information into a reusable knowledge base.
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Helps firms retain institutional knowledge and avoid reinventing solutions on every project.
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</ul>
<h3 data-start="856" data-end="903">⚙️ 3. AI-Powered Versioning &amp; Snapshots</h3>
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Tracks changes and version history of design elements, automatically deduplicating redundant assets.
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Provides visibility into how details evolved and keeps teams working with the latest and most accurate visuals.
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<h3 data-start="1164" data-end="1217">🧩 4. Automatic Organization &amp; Categorization</h3>
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Uses AI to automatically categorize drawings and details, so assets are organized without manual effort.
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Allows creation of custom collections by project, category, or client for streamlined collaboration.
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</ul>
<h3 data-start="1475" data-end="1516">👥 5. Collaboration &amp; Team Access</h3>
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Share organized project collections with team members firm-wide or project-specifically.
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Ensures the right people have the right data at the right time.
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</ul>
<h3 data-start="1717" data-end="1749">📊 6. Productivity Gains</h3>
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Designed to speed up project delivery - companies report up to 50% faster design workflows by reducing time spent searching, reworking, and recreating details.
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</ul>
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<h3 data-start="2437" data-end="2472">★ Why This Matters for AE Firms</h3>
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Reduces redundant work: By turning siloed project files into a searchable database, firms save time and reduce errors.
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Improves consistency: Version control and automatic organization help standardize details and workflows.
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Boosts collaboration: Teams can share and access curated collections easily.
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Enhances decision-making: Better use of prior work and data leads to smarter design and fewer surprises.
</li>
</ul>

AI Visual Search | ARKI’s AI reads your drawings visually even when not labelled and organizes your files, enabling effortless search, retrieval, and reuse

File Live Views | Repurpose and adapt previously used 2D and 3D design assets, reducing redundant work and accelerating project timelines

Compare between Revit Versions | Comparison tools help identify design variations and similarities across projects, improving accuracy and version control

AI Asset Versioning | ARKI Versioning and Snapshot capabilities streamline your design assets, automatically de-duplicating identical details across your firm.

ARKI

Sync Your Data | Automatically synchronize project data across your team and tools, ensuring real-time updates and consistency in every stage of design

This case study showcases how MeltCode, MeltPlan’s Code Research AI, is helping architectural firms dramatically reduce the time, cost, and uncertainty associated with building code compliance. Building code research is one of the most time-consuming and high-risk parts of design, often requiring architects to spend 50–300 hours per project flipping through codebooks, navigating keyword searches, and chasing endless cross-references just to ensure they interpret requirements correctly. 

The case study highlights measurable organizational impact reported by firms after adopting MeltCode, including 30% less spend on code consultants, 45% faster code research, and 25% fewer inquiries from junior architects, meaning fewer escalations to principals and senior staff. 

A key takeaway is that MeltCode is built differently from generic AI tools like ChatGPT, which often hallucinate or cite incorrect sources—forcing architects to double-check everything and sometimes restart research from scratch. MeltCode solves this by using an AI system that only reads building codes (not the internet) and comprehensively interprets code content, including tables and images. It delivers answers in 1–4 minutes, supported by confidence scores and detailed reasoning where each step is backed by direct code citations. 

To validate performance, MeltCode was continuously tested using building inspector exams, where it achieved 95%+ scores across multiple inspector exam types, reinforcing its accuracy and construction-aware reasoning. 

Melt Code AI for reliable building code research

MeltPlan is the AI-native planning engine for the built environment, built to help architects, engineers, and contractors plan projects better &mdash; earlier, faster, and with far more confidence. Construction planning today is still fragmented across disconnected tools, spreadsheets, PDFs, and tribal knowledge. Teams are forced to manually connect decisions across code compliance, estimating, scheduling, and value engineering, which leads to slow iterations, missed scope, costly rework, and avoidable project risk.
MeltPlan solves this by creating a unified planning platform that connects the four planning pillars that shape every project: code compliance, cost, schedule, and value engineering. Instead of operating like a black-box AI assistant, MeltPlan is built for accuracy and transparency. It understands real AEC context &mdash; including codes and standards, building assemblies and elements, quantities and scopes, and project-specific conditions. Every output is designed to be defensible, with clear assumptions, step-by-step reasoning, and verifiable sources.
At the core of MeltPlan is the belief that planning isn&rsquo;t just producing a schedule or an estimate &mdash; it&rsquo;s making the right decisions early, before mistakes become expensive field problems. MeltPlan helps teams move from &ldquo;searching and guessing&rdquo; to &ldquo;knowing and deciding.&rdquo;
Today, MeltPlan offers two core products:
<h3 data-start="1400" data-end="1417">Melt Code</h3>
Melt Code is the first building code research AI built to make compliance transparent and decision-ready. Instead of giving a generic answer, Melt Code provides project-specific compliance requirements along with a step-by-step reasoning trail and direct citations to every relevant code section. It also maps out Compliance Paths, guiding architects and engineers through multiple valid routes to compliance based on project variables like occupancy, construction type, sprinkler conditions, height/area thresholds, and fire ratings. Melt Code understands exceptions, cross-references, tables, diagrams, and code math &mdash; and can generate project-specific compliance illustrations to make requirements easier to interpret and communicate. It also includes workflow tools like Projects and Checklists, helping firms capture institutional knowledge and standardize compliance across teams.
<h3 data-start="2326" data-end="2346">Melt Takeoff</h3>
Melt Takeoff is an AI-assisted takeoff service designed for contractors and estimators who need speed without sacrificing trust. It combines AI vision for fast quantity extraction with onshore, field-experienced senior estimators who verify outputs and add detailed allowances for scope not shown on drawings. Melt Takeoff detects hundreds of building elements, flags drawing/spec conflicts, structures takeoffs in MasterFormat&reg;, UniFormat&reg;, or custom standards, and delivers interactive outputs with sheet-linked traceability and clean Excel exports. It enables faster bids, fewer missed scope items, and more confident pricing.
Together, Melt Code and Melt Takeoff form the foundation of the MeltPlan platform &mdash; a connected planning engine that brings clarity, speed, and trust to preconstruction decision-making.

MeltPlan

Aventura Cross is a prestigious mixed-use development located in the heart of Miami, Florida, covering an expansive 449,000 square feet. The project seamlessly integrates residential apartments, premium retail spaces, and a multi-level parking garage, making it a landmark in modern urban architecture. A signature feature of this development is its luxurious pool deck on Level 8, designed to offer residents and visitors an elevated experience of leisure and sophistication.

The project’s success relied heavily on advanced BIM (Building Information Modeling) services to ensure precise coordination and integration of architectural, structural, and MEP systems. AEODC provided a full range of BIM services, including Revit modeling, clash detection, coordination, and ASMEP sheet preparation, all delivered within a challenging timeframe of 7.5 to 9 weeks at LOD 350.

Key Challenges:

Tight Deadlines: The accelerated schedule required highly efficient workflows.

Interdisciplinary Coordination: Complex integration between architecture, structure, and MEP systems.

Complex Design: Large-scale, intricate modeling requiring advanced BIM methodologies.

Solutions Implemented:
AEODC deployed optimized workflows, fostering strong collaboration using tools like Procore, and maintained strict quality assurance measures. This ensured accurate construction documentation and reduced clashes, enabling smooth execution on site.

By leveraging cutting-edge BIM technologies, AEODC transformed Aventura Cross into a model project of efficiency, quality, and innovation—setting a benchmark for mixed-use developments in Miami and beyond.

Aventura Cross, Florida

Rendair Ai makes it easier than ever to quickly generate realistic visuals for designing and marketing new or existing properties at any stage in development by providing tools for creating stunning renderings, extensively editing real estate photography, and animating spaces from a range of inputs.&nbsp; Our platform is accessible online 24/7 via <a title="Rendair Ai" href="https://www.rendair.ai">www.rendair.ai</a> with substantial support available from our team providing expert guidance on how to use each of our specialized design tools. The visual solutions available are endless, certain elements will benefit architects and interior designers more than others, which might be more useful to teams in development, creative, and marketing.&nbsp; Our team also regularly hosts online presentations to share success strategies and workflows for optimal visualization results with a variety of real estate specialists in different languages.&nbsp; We have 3 subscription plans available to choose from, each with unlimited access to our instant Ai rendering platform. (Creator $20/mo, Pro $50/mo, and TeamPro $200/mo) Creator is intended mostly to test the tools and it has a tendency to be slower as you have to wait in a queue, there&rsquo;s also limited privacy as well as mostly chat support for assistance. Both Pro plans retain ownership of their images with the commercial license, perform faster as there is no queue, and users can book time with our team for private training sessions in which we directly assist with optimizing workflows for better results. Monthly plans will all renew every month, and Yearly will renew every year unless we cancel the subscription prior to the next renewal billing cycle (similar to Netflix). Some of our latest updates include the addition of new Image-to-Video tools and personalized styles for branding/image consistency, greater control with Virtual Staging and a personal Chat rendering assistant.&nbsp;&nbsp; Special industry discount codes are available, please email <a href="mailto:peter@rendaircorp.com">peter@rendaircorp.com</a> with a request for a demo and specify your focus/industry to receive your code if you are affiliated with ICSC, IBS, BisNow, TRD, etc.&nbsp; This link will activate a discount code towards any of our subscription plans for new users - <a href="https://rendair.ai?ref=ytfinzq">https://rendair.ai?ref=ytfinzq</a>&nbsp; Thanks for your interest in Rendair!

RENDAIR AI

What is Navisworks? Use Navisworks® review and coordination software to improve BIM (Building Information Modeling) project delivery. -- Visualize and unify design and construction data within a single federated model. -- Identify and resolve clash and interference problems before construction begins, saving time onsite and in rework. -- Keep project teams collaborating and connected with Navisworks issues integration in the Autodesk Construction Cloud.

NavisWorks

The Willis project, located in Florida, involved the development of a contemporary low-rise residential building complex. One of the defining features of the development was a two-storey clubhouse complemented by a swimming pool, designed to act as the heart of the community. At the design bid presentation stage, it became essential for the principal architect to communicate not only the technical details but also the lifestyle and spatial qualities of the project. For this purpose, high-quality rendered imagery was required.

AEODC, with its proven expertise in 2D and 3D visualization, was awarded the responsibility of preparing the rendered outputs. The scope included the production of 3D rendered views across different scales and perspectives, delivered within a challenging two-to-three-week timeline.

Scope of Work

Site Plan Rendering: Creation of rendered views representing the overall site, highlighting essential details such as planting, sidewalks, and outdoor circulation.

Elevation Rendering: Realistic visualizations showcasing the exterior façade and elevations, aligned with the architect’s design perspective.

Aerial and Interior Views: High-quality aerial renderings along with interior perspectives of the clubhouse and swimming pool to illustrate both exterior and lifestyle spaces.

By delivering accurate, detailed, and visually compelling renderings, AEODC provided essential design communication tools that supported the architect in presenting a strong, winning bid for the project.

Willis, Florida

Import 3D for Autodesk Revit is a robust extension engineered to translate external 3D models into native Revit geometry and material definitions. It accelerates development of custom components and detailed entourage by reusing models produced in other 3D applications or sourced from online asset libraries. This approach streamlines family creation and project setup by eliminating redundant modeling tasks and maintaining design consistency across disciplines Autodesk App Store With a single-click operation users can import complete mesh models including embedded materials directly into project environments or family templates. Import 3D automatically detects and groups imported geometry into existing Revit materials based on color and transparency properties. Intelligent material sorting ensures that furniture entourage mechanical parts and site elements retain their intended appearance without additional manual mapping Performance and configurability are central to the Import 3D design philosophy. The plugin employs highly optimized code to process thousands of mesh faces in seconds making it practical to load complex assets into large building information models. Import parameters allow adjustment of units scale and insertion coordinates for each operation. Imported objects can be classified under the Revit category of choice to maintain project organization and support downstream scheduling workflows The extension supports all industry-standard exchange formats including glTF Wavefront OBJ and Collada DAE. This broad format compatibility lets teams leverage 3D assets created in SketchUp Blender Rhino and other modeling tools without file conversion overhead. Import 3D functions seamlessly in both project and family editing modes to accommodate architects mechanical engineers landscape designers and visualization specialists Licensing and deployment are tailored for both individual practitioners and enterprise teams. Import 3D is available as a desktop license or multi-user floating license through the archi web store with secure checkout provided by Stripe. Each license includes a fully functional seven-day trial and ships with a demonstration Wavefront file that can be loaded using the integrated Load Demo button to evaluate performance on custom workflows. The installer is digitally signed and uses a custom setup routine independent of the standard Autodesk installer to ensure full compatibility with virtual desktop environments. Version twenty-four point four adds robust vertex referencing support to handle a wider variety of OBJ file specifications and extends stability in large model scenarios. The plugin is compatible with Autodesk Revit versions two thousand twenty through two thousand twenty-five running on Windows x sixty-four with a download size of approximately two point eight megabytes. Comprehensive user documentation and a dedicated online forum are available for self-paced learning. Archi technical support can be reached via email and community channels to assist with deployment and customization within existing BIM standards

Import 3D

  Example of 3D model with materials, colour and transparency imported as a site.

Revizto unifies BIM intelligence and makes it immediately accessible and actionable for the entire project team. With Revizto’s advanced Issue Tracker predefined workflows project team members can identify and manage model-based issues in the 3D space and 2D sheets, including addressing clash groups. Revizto provides unified access to a project’s data both for 2D and 3D workflows, so anyone can use it depending on project requirements.

Result for “Mixed Use”

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