Learn how Ideate StyleManager, Ideate Explorer, and Ideate BIMLink help construction teams eliminate Revit inefficiencies — from unmanaged styles and hidden elements to manual data errors — with automated QA/QC workflows and bulk parameter editing that saves hours on every project.

How Ideate Software Is Helping Teams Improve Revit Data Management, QA/QC and Automation

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="Ichi&rsquo;s agent based workflow helps teams organize code review, QA/QC, and consultant coordination tasks in a structured review board." 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.
<blockquote>
"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
</blockquote>
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.
<blockquote>
"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
</blockquote>
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="" 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

<img src="https://aecplustech-files.s3.amazonaws.com/blog/57eee85d-cd2f-4ffd-842d-2e8a109ebfa4.jpg" alt="" width="1080">The difference between a concept and a market leader lies in the ecosystem in which they operate. If your startup is building the next generation of automation, artificial intelligence, or spatial intelligence for the built environment, this is your final opportunity to apply for the 2026 Trimble 0&ndash;60 Challenge. Applications officially close on May 22, 2026.
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Tech startups in the Architecture, Engineering, Construction, and Owner-Operator (AECO) sector often struggle to gain traction, not because they lack innovative ideas, but because they lack real-world domain context and access to established workflows. The Trimble 0&ndash;60 Challenge is a rigorous, equity-free 12-week sprint designed to help early-stage founders bridge the gap between digital concepts and physical workflows, moving solutions from prototype to real-world deployment.
<img src="https://aecplustech-files.s3.amazonaws.com/blog/b995bc3e-1078-4812-9fc9-3e86915c0297.jpg" alt="" width="1080">
Why This Accelerator Is Different
General-purpose accelerators can give you cloud infrastructure, but the Trimble 0&ndash;60 Challenge gives you the industry. Recently named the 2025 Accelerator Program of the Year by BuiltWorlds, this program provides what standard accelerators cannot: direct integration with the world's most widely deployed AECO platforms.
Startups selected for the 2026 cohort will receive:
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Deep Platform Integration: Build directly on Trimble Connect, SketchUp, Tekla, and ProjectSight, or integrate your computer vision and autonomy solutions with Trimble's GNSS receivers, total stations, and laser scanners.
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Expert Mentorship: Get weekly guidance from Trimble platform engineers, product teams, and Trimble Ventures advisors who have spent their careers inside construction workflows.
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Prizes and Market Distribution: Compete for non-dilutive cash prizes and gain a direct path to verified customers via a listing on the Trimble Marketplace.
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</ul>
Demo Day at Dimensions: Pitch your fully functioning minimum viable product (MVP) to 5,000 construction professionals, buyers, and investors live at Trimble Dimensions in Las Vegas from November 9&ndash;11, 2026.
<img src="https://aecplustech-files.s3.amazonaws.com/blog/19c3bf67-8272-4b06-9e71-b507e5747688.jpg" alt="" width="1080">
Proven Commercial Outcomes
The 12-week roadmap focuses entirely on rapid development and commercial validation. As Simon Boyles, founder of ScaffPlan, noted after his cohort experience, "We finished the program with a brand new, fully functioning application ready to be commercialized". Similarly, the 2025 winner, Datagrid, successfully built an agentic AI tool that integrates directly with Trimble solutions and over 100 enterprise systems, which is now live on the Trimble Marketplace.
Who Should Apply
The program is actively seeking early-stage startups and developers building solutions in three core categories:
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Connected Data: Solutions that facilitate the seamless flow, management, and interoperability of data across the project lifecycle.
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Connected Design: Tools that enhance modeling, simulation, and design workflows to improve accuracy and efficiency.
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Connected Field or Jobsite: Technologies that optimize real-world execution through hardware-to-software synergy and precision technology.
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Key Dates for 2026:
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Applications Close: May 22, 2026
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Finalists Selected: June 12, 2026
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2-Day Kick-Off Event: June 16&ndash;17, 2026 (Westminster, CO)
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Dimensions Demo Day: November 9&ndash;11, 2026 (Las Vegas, NV)
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Do not watch the future of construction technology from the sidelines. If you are ready to scale your technology within the Trimble ecosystem, you must submit your application before the portal closes.
 Apply before midnight on May 22, 2026. <a href="https://www.trimble.com/en/our-company/events/dimensions/experiences/0-60-challenge?utm_source=influencer&amp;utm_medium=article&amp;utm_campaign=TRB-26Q1-GLOB-LE-Nov-09-Trimble-0-60&amp;utm_term=Aec+tech-campaign%20https://www.trimble.com/en/our-company/events/dimensions/experiences/0-60-challenge?utm_source=linkedin&amp;utm_medium=paid-ad&amp;utm_campaign=TRB-26Q1-GLOB-LE-Nov-09-Trimble-0-60&amp;utm_content=startups" target="_blank" rel="noopener">Learn more.</a></div>
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The 2026 Trimble 0–60 Challenge, an equity-free 12-week accelerator for early-stage AEC startups in automation, AI, and spatial intelligence, closes applications on May 22, 2026. Selected founders gain direct integration with Trimble platforms, expert mentorship, non-dilutive cash prizes, and a Demo Day slot at Trimble Dimensions in Las Vegas.

Last Call: Accelerate Your AEC Startup with the 2026 Trimble 0–60 Challenge

Graebert’s ARES Trinity 2027 helps AEC teams automate BIM-to-DWG documentation from Revit, IFC, and Autodesk Forma workflows. It reduces manual drawing updates, supports cloud automation, preserves CAD details, improves feedback loops, and introduces ARES Neo for Revit-based drawing validation.

BIM Has the Intelligence. Why Is Revit Documentation Still Manual?

Kestrel is the first structured compliance data layer for the built environment.
Building code has historically existed as static documents that architects read, interpret, and apply manually. In a world where design has moved into BIM, compliance has remained outside the model&mdash;fragmented across PDFs, markups, and late-stage plan review.
Kestrel changes that.
Kestrel is building code compliance software that runs inside Revit, evaluating BIM models against jurisdiction-specific requirements during design. Instead of checking compliance after drawings are complete, teams run checks continuously while designing, surfacing issues when they are still easy to fix.
At the core of the platform is a fundamental shift: building code becomes computable.
Kestrel translates licensed building code data, including International Code Council (ICC) sources, into structured, machine-executable logic that runs directly against the BIM model. Every issue is tied to a specific element in the design and linked to a cited code section, so teams can see what is wrong, why it matters, and how to resolve it.
This approach turns compliance from a manual, interpretive process into a system that can be evaluated in real time throughout design.
Kestrel&rsquo;s rule library includes millions of checks across key regulatory categories such as egress, accessibility (ADA), fire and life safety, occupancy classifications, height and area limits, and jurisdiction-specific requirements. The platform applies these rules in context to each project&rsquo;s location, building type, and conditions.
The result is a shift in how compliance happens:
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<li data-section-id="1912hsz" data-start="2268" data-end="2340">From checking PDFs at the end &rarr; to evaluating the model continuously</li>
<li data-section-id="ab3kd5" data-start="2341" data-end="2405">From manual interpretation &rarr; to structured, verifiable logic</li>
<li data-section-id="2zqfm2" data-start="2406" data-end="2467">From late-stage surprises &rarr; to early, actionable feedback</li>
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Kestrel is designed for the entire design team. Architects and designers work directly inside the Revit model, resolving issues in context. Project managers and principals track compliance status through a shared dashboard without opening BIM files, giving the entire team a clear view of where the project stands.
Kestrel does not replace architect judgment. It surfaces what is checkable and grounds every result in real code. Final interpretation and design decisions remain with the architect.
As BIM became the system of record for design, there has been no equivalent system for compliance. Kestrel fills that gap.
It is not a plugin or a point solution. It is the compliance layer that sits alongside the model, enabling teams to move faster, reduce rework, and reach permit with greater confidence.

Kestrel Labs

Automate Engineering Workflows with Custom Web Apps
VIKTOR.AI is a low-code platform that helps engineers streamline workflows by creating, integrating, and sharing powerful web applications using Python.
By automating repetitive tasks and improving collaboration, VIKTOR enables teams to focus on solving complex engineering challenges while boosting efficiency and accuracy.
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<h3 data-start="538" data-end="560">Key Features</h3>
App Creation Transform Python scripts, Excel files, Grasshopper models, and Dynamo scripts into fully interactive web applications with intuitive user interfaces. This centralizes tools, enhances usability, and makes domain-specific knowledge accessible to a wider team.
Software Integration Seamlessly connect with industry-standard software such as CAD, simulation tools, and data analysis platforms&mdash;eliminating manual data transfers, reducing human error, and optimizing engineering workflows.
App Distribution Deploy applications securely within an enterprise cloud environment, ensuring easy access across teams while maintaining centralized control over updates and permissions.
Collaboration Store and manage project data with built-in version control. Track changes, manage documentation, and reduce miscommunication across teams.
Security &amp; Compliance Enterprise-grade security features&mdash;such as single sign-on (SSO), user access management, and regional hosting&mdash;give organizations the control they need to protect sensitive data.
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Command-Line Interface (CLI) &ndash; Streamline app development, install dependencies, and run tests across Windows and Linux environments.
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API &amp; SDK &ndash; Automate workflows, extract data, and integrate custom applications using the REST API and SDK, allowing engineers to tailor solutions to specific needs.
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<h3 data-start="2002" data-end="2031">Community &amp; Support</h3>
VIKTOR offers comprehensive documentation, tutorials, and an active developer community to support users in building and scaling automation solutions. Dedicated technical support ensures a smooth development experience and maximizes productivity.
By automating the tedious, VIKTOR empowers engineers to focus on innovation, creativity, and solving real engineering challenges.

Explore VIKTOR.AI for engineering automation, custom web apps, and low-code workflow development. Review pricing, free trial details, login access, integrations, and how VIKTOR helps teams build and s

VIKTOR.AI Pricing, Free Trial & Engineering App Builder

VIKTOR.AI

VIKTOR Launches App Builder, Automation in Every Engineer’s Hands

The VIKTOR App Builder: Putting Automation into Every Engineer's Hands

The VIKTOR App Builder: Putting Automation into Every Engineer's Hands (Niknaz's LI Post)

Pro & Pro+ Announcement (Niknaz's LI Post)

Viktor.AI welcomed as a pro member of aec+tech

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:
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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.
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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
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20% more capacity to do more projects with their current team
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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

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
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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
</li>
<li data-start="1344" data-end="1450">
Built-in calculations, such as occupant loads, egress sizing, travel distances, and fixture counts
</li>
<li data-start="1451" data-end="1586">
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:
<ul data-start="1692" data-end="1990">
<li data-start="1692" data-end="1858">
Projects, where teams store project context (location, occupancy, construction type, sprinkler status, etc.) so every question becomes instantly project-aware
</li>
<li data-start="1859" data-end="1990">
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

CRDR BIM, short for "Clash Resolution Diagnosis Report in BIM," is a specialized tool designed to streamline clash resolution documentation within Autodesk Navisworks. It simplifies compliance reporting and enhances workflow efficiency for BIM managers, coordinators, and specialists by providing a structured approach to documenting resolved clashes. 1. Efficient Clash Resolution Reporting CRDR BIM enables users to generate detailed Clash Resolution Diagnosis Reports that document how clashes have been addressed between different BIM model versions. This feature helps teams maintain accurate records of resolution progress, improving project tracking and compliance. 2. Seamless Navisworks Plugin Integration Functioning as a dedicated Navisworks plugin, CRDR BIM integrates directly into existing workflows, allowing users to compare &lsquo;before&rsquo; and &lsquo;after&rsquo; BIM models effortlessly. This integration ensures that clash resolution documentation remains within the familiar Navisworks environment, eliminating the need for external tools. 3. Intuitive &amp; User-Friendly Interface Designed for ease of use, CRDR BIM features an intuitive interface that simplifies navigation and workflow execution. BIM professionals can efficiently document and categorize clashes without technical complexity, improving productivity and adoption rates. 4. Consistent Viewing Angles for Clear Comparisons CRDR BIM ensures consistent perspective when capturing images of clashes, maintaining uniformity between different model versions. This feature enhances clarity in reports, making it easier for teams to analyze and understand clash resolutions. 5. Customizable Clash Categorization for Precise Documentation Users can categorize clashes into resolved, unresolved, approved, or resolved but connected manually, ensuring a clear and organized approach to documentation. This categorization allows for better project tracking and compliance verification. 6. Flexible Reporting Formats for Easy Sharing CRDR BIM supports HTML and PDF export options, enabling teams to save and share reports efficiently. These reports include detailed images and summaries, making them valuable for project documentation and stakeholder communication. 7. Enhancing BIM Management with Streamlined Reporting By integrating directly with Navisworks, CRDR BIM empowers BIM managers and specialists to document clash resolutions accurately and efficiently. It ensures that compliance reporting is effortless while maintaining a structured and transparent workflow. With its powerful reporting features and seamless integration, CRDR BIM is an essential tool for professionals involved in clash resolution documentation within BIM models.

CRDR BIM

Solibri CheckPoint is a browser-based BIM model checking platform that helps architecture, engineering, and construction teams improve model quality, coordination, and compliance&mdash;without heavy installs or steep training. Open a browser, review Revit and IFC models side by side, run standardized QA/QC checks (clash detection, data/property rules, clearances), and manage issues in one collaborative workspace that fits your existing CDE and project tools.
<h2 data-start="758" data-end="783">Why Solibri CheckPoint</h2>
<ul data-start="784" data-end="1370">
<li style="font-size: 15px;" data-start="784" data-end="888">Zero install, fast adoption: Web-based model checking reduces IT overhead and speeds onboarding.</li>
<li style="font-size: 15px;" data-start="889" data-end="985">Native Revit &amp; IFC support: Review the same source data&mdash;no exports or lossy conversions.</li>
<li style="font-size: 15px;" data-start="986" data-end="1090">Standardized QA/QC: Enforce modeling standards with reusable rule sets, filters, and data views.</li>
<li style="font-size: 15px;" data-start="1091" data-end="1208">Collaborative issue management: Assign, track, and resolve clashes/data issues with transparent audit trails.</li>
<li style="font-size: 15px;" data-start="1209" data-end="1370">CDE-friendly: Practical integrations with Autodesk Construction Cloud and Procore keep models and issues in sync via direct connections or BCF.</li>
</ul>
<h2 data-start="1372" data-end="1391">Key Capabilities</h2>
<ul data-start="1392" data-end="1804">
<li style="font-size: 15px;" data-start="1392" data-end="1460">Clash detection &amp; constructability checks across disciplines</li>
<li style="font-size: 15px;" data-start="1461" data-end="1541">Property/data validation to enforce BIM standards and naming conventions</li>
<li style="font-size: 15px;" data-start="1542" data-end="1611">Clearance/free-space rules for safety, access, and operations</li>
<li style="font-size: 15px;" data-start="1612" data-end="1702">Data Viewer to inspect quantities, attributes, and patterns alongside the 3D model</li>
<li style="font-size: 15px;" data-start="1703" data-end="1804">Project Library to publish shared, repeatable templates (rules, filters, views) across projects</li>
</ul>
<h2 data-start="1806" data-end="1832">Integrations &amp; Workflow</h2>
<ul data-start="1833" data-end="2138">
<li style="font-size: 15px;" data-start="1833" data-end="1939">Sync models and issues with Autodesk Construction Cloud and Procore (reduce duplicate uploads)</li>
<li style="font-size: 15px;" data-start="1940" data-end="2021">Export/import issues via BCF to keep coordination moving across platforms</li>
<li style="font-size: 15px;" data-start="2022" data-end="2138">Fit lightweight checks into more milestones&mdash;from schematic coordination to preconstruction and punch-list closeout</li>
</ul>
<h2 data-start="2140" data-end="2155">Who It&rsquo;s For</h2>
<ul data-start="2156" data-end="2394">
<li style="font-size: 15px;" data-start="2156" data-end="2237">Architects &amp; BIM Managers standardizing QA/QC and modeling best practices</li>
<li style="font-size: 15px;" data-start="2238" data-end="2319">General Contractors &amp; VDC Teams driving constructability and coordination</li>
<li style="font-size: 15px;" data-start="2320" data-end="2394">Owners/Consultants requiring transparent, auditable BIM deliverables</li>
</ul>
<h2 data-start="2396" data-end="2407">Benefits</h2>
<ul data-start="2408" data-end="2682">
<li style="font-size: 15px;" data-start="2408" data-end="2474">Higher BIM quality with consistent templates and rule sets</li>
<li style="font-size: 15px;" data-start="2475" data-end="2544">Fewer rework loops thanks to faster clash and data validation</li>
<li style="font-size: 15px;" data-start="2545" data-end="2608">Lower overhead via web-based access and simpler rollout</li>
<li style="font-size: 15px;" data-start="2609" data-end="2682">Better traceability with centralized issue records and auditability</li>
</ul>
Learn more: <a href="https://www.solibri.com/checkpoint?utm_campaign=3706145-Solibri%20CheckPoint&amp;utm_source=AEC%20Tech">www.solibri.com</a>

Model view IFC and Revit - Solibri CheckPoint

Solibri CheckPoint

Checking Revit models in the cloud with Solibri

Featuring Solibri at the AEC Innovate Conference

Solibri CheckPoint & the Future of AEC Model-Checking (2)

Acquisition of Xinaps and the rebranding of Verifi3D as Solibri Checkpoint

Solibri CheckPoint & the Future of AEC Model-Checking 

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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

<h1 data-start="260" data-end="340">Ideate StyleManager for Revit: Clean, Standardize, and Optimize BIM Styles</h1>
<h2 data-start="347" data-end="390">Why Revit Styles Become a Hidden Problem</h2>
Managing styles in Autodesk Revit &mdash; including object styles, line patterns, materials, text types, and view templates &mdash; is one of those tasks that quietly affects every project. When unmanaged, styles accumulate from imported content, linked models, and copied elements, leading to bloated files, inconsistent graphics, and coordination headaches.
Over time, even well-structured projects can drift away from office standards without teams realizing it.
<h2 data-start="853" data-end="885">What Ideate StyleManager Does</h2>
Ideate StyleManager is a Revit plugin built to give BIM managers and architects greater control over project styles. Instead of manually hunting through settings or risking accidental deletions, users can analyze, merge, rename, and remove unwanted styles safely.
The tool makes it easier to clean up project files and enforce consistent standards across teams.
<h2 data-start="1256" data-end="1300">Safe Cleanup with Built-In Style Analysis</h2>
One of the biggest risks in Revit is deleting a style that is still in use. That action can trigger unexpected graphic changes throughout the model.
Ideate StyleManager addresses this with detailed usage analysis. Before merging or deleting a style, users can see exactly where it is applied. This visibility allows teams to consolidate duplicate styles, remove clutter, and align projects with office templates without compromising model integrity.
<h2 data-start="1759" data-end="1815">Improving Model Performance and Documentation Quality</h2>
Style clutter does more than create visual inconsistencies. It can also impact file size and model performance.
By reducing redundant definitions and maintaining consistent graphics, teams improve drawing clarity, coordination workflows, and overall BIM health. For firms working across multiple offices, maintaining a unified visual language becomes much easier.
<h2 data-start="2188" data-end="2225">Supporting Long-Term BIM Standards</h2>
Ideate StyleManager is not just a cleanup tool. It supports long-term BIM governance.
As projects grow in complexity and content libraries expand, style management becomes increasingly important. The ability to proactively monitor and standardize styles helps firms protect documentation quality from early design through construction documentation.
For teams focused on Revit efficiency and model reliability, Ideate StyleManager offers a practical solution for maintaining cleaner, healthier BIM environments.

Ideate StyleManager

Problem:
For structural concrete, any error outside of construction tolerances requires an engineering redesign and often involves costly and timely remedial works:

Breaking, cutting, drilling concrete
Reordering structural reinforcement and concrete
Recasting the concrete and allowing for curing times

Scope of Works:
The Main Contractor partnered with XYZ Reality prior to breaking ground, for the construction of their concrete foundations to ensure that they are built correctly (+/- 5mm) and ready for the structural steel columns:

Incorporating The Atom into the project’s Inspection, Testing and Planning process
Inspecting the structures at the lowest value stage - during the setting-out and during the installation of the reinforcement, embedded elements (including holding-down bolts) and formwork

Results:
In all areas where The Atom was deployed, any errors or issues were detected prior to the concrete pour and the concrete foundations were installed within tolerances and without defects.

For the one location where The Atom could not be deployed, the concrete foundation was built 500mm out of tolerance.

However, using The Atom’s real-time validation, this issue was raised immediately and prior to any ground infill and the steel column installation

XYZ Reality Client Success Story

The Atom is a powerful, custom-built engineering tool combining a construction safety headset, augmented reality displays and in-built computing power.  With The Atom, construction teams can view 3D models to millimetre accuracy onsite.

With The Atom, construction teams can view 3D models to millimetre accuracy onsite.

XYZ Reality

The Atom is a powerful, custom-built engineering tool combining a construction safety headset, augmented reality displays and in-built computing power. 

Denmark

Cityweft transforms how architects, urban planners, and designers access and utilize 3D site context. Offering precise, high-quality 3D city models with global coverage, Cityweft supports applications ranging from generative design and architectural diagramming to urban planning. This includes complex geometry, topography, and infrastructure information, all fully customizable to meet specific project needs. Designed for individuals, enterprises, and AEC tech platforms, Cityweft models can be accessed through its web platform or integrated directly via API. With advanced algorithms and accurate global data, Cityweft empowers professionals to design smarter, faster, and with unparalleled precision.

cityweft

Live analytics Focused on data visualization, so the information is easily understood, while complex analysis are taken care of by the power of a machine processor. Let the machine do the heavy lifting, that is what they are there for. Performance tracking Compare, filter, and reuse data from project to project or analyse different projects in the same portfolio against each other. The power is in your hands. Alerts by email, text, or on the notification panel Set your preferences for notifications, so you can be informed whenever there is a change on the 5D of your project. Anywhere, anytime, it is up to you.

Result for “Denmark”

Case Studies "1 result"

XYZ Reality Client Success Story