<div><span style="font-family: helvetica, arial, sans-serif; font-size: 16px;"><img src="https://aecplustech-files.s3.amazonaws.com/blog/5741b41d-2b98-40f9-9a96-00550e6d0a57.png" alt="InspectMind AI" width="1080"></span></div>
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<div><span style="font-family: helvetica, arial, sans-serif; font-size: 16px;">Most conversations about AI in construction start with speed.&nbsp;</span></div>
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<div><span style="font-family: helvetica, arial, sans-serif; font-size: 16px;">&ldquo;How many hours did we save?&rdquo;</span></div>
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<div><span style="font-family: helvetica, arial, sans-serif; font-size: 16px;">&ldquo;How many pages could we review in minutes?"&nbsp;</span></div>
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<div><span style="font-family: helvetica, arial, sans-serif; font-size: 16px;">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.<strong id="docs-internal-guid-dcacfc00-7fff-ed9c-247a-6474ead9a5a0"></strong></span></div>
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<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif; font-size: 16px;"><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;</span></p>
<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif; font-size: 16px;">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.</span></p>
<h2 dir="ltr"><strong><span style="font-size: 18px; font-family: helvetica, arial, sans-serif;">Reading a Pictorial Language</span></strong></h2>
<p dir="ltr">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.</p>
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<p dir="ltr"><em>"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."</em></p>
<p dir="ltr"><em>&mdash; Colton Johnson, Principal Engineer, Flint Engineering Company</em></p>
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<p dir="ltr">Solorio described the second half of the problem: volume.&nbsp;</p>
<p dir="ltr">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.</p>
<p dir="ltr">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.</p>
<p dir="ltr"><strong><span style="font-family: helvetica, arial, sans-serif; font-size: 18px;">A Third-Party Reviewer That Works Through Lunch</span></strong></p>
<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"><em><span style="font-size: 15px;">Fig 2) <strong id="docs-internal-guid-f0f0d1bf-7fff-9eae-31ff-f65259db8b5c"></strong>Errors missed in review surface on site, where fixes cost most.&nbsp;</span></em></figcaption>
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<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">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.</span></p>
<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">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 </span><span style="font-family: helvetica, arial, sans-serif;">selected/applicable codes and references. It surfaces a prioritized set of findings while the team continues other work.&nbsp;</span></p>
<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">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;</span></p>
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<p dir="ltr"><em><span style="font-family: helvetica, arial, sans-serif;">"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."</span></em></p>
<p dir="ltr"><em><span style="font-family: helvetica, arial, sans-serif;">&mdash; Aakash Prasad, Co-founder and CEO, InspectMind AI&nbsp;</span></em></p>
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<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">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.</span></p>
<h2 dir="ltr"><strong><span style="font-size: 18px; font-family: helvetica, arial, sans-serif;">From Months of Back-and-Forth to Days&nbsp;</span></strong></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><em><span style="font-size: 15px;">Fig 3) <strong id="docs-internal-guid-a13650af-7fff-54aa-3a87-16247998979a"></strong>InspectMind AI tags each finding by severity, discipline, and code.&nbsp;</span></em></figcaption>
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<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">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.</span></p>
<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">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;</span></p>
<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">A church project in California shows how that plays out. The design firm ran its full drawing set <strong>(architecture, civil, structural, and specs)</strong> 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.</span></p>
<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">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.</span></p>
<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif; font-size: 18px;"><strong id="docs-internal-guid-27bb7de9-7fff-b993-eb42-f62df9819b79">Garbage In, Garbage Out Still Applies</strong></span></p>
<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"><em><span style="font-size: 15px;">Fig 4) AI only reflects the inputs it gets.</span></em></figcaption>
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<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">The strongest warning has always been against leaning on the tools too hard. The old 'garbage in, garbage out' rule still stands.</span></p>
<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">The software is powerful, but it sits on top of a firm's inputs, its standards, and the judgment of the people running it.</span></p>
<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">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.</span></p>
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<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;"><em>"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."</em></span></p>
<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;"><em>&mdash; Simon G. Solorio, President, Solorio Inc.</em></span></p>
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<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">Johnson framed the same idea as a sequence. He sees a working AI workflow as a three-tier system.&nbsp;</span></p>
<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">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.</span></p>
<h2 dir="ltr"><strong><span style="font-family: helvetica, arial, sans-serif; font-size: 18px;">Own the Output</span></strong></h2>
<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">Accountability is the other side of this. When an engineer signs off on a design, they own it, whatever tools helped produce it.</span></p>
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<p dir="ltr"><em><span style="font-family: helvetica, arial, sans-serif;">"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."</span></em></p>
<p dir="ltr"><em><span style="font-family: helvetica, arial, sans-serif;">&mdash; Colton Johnson, Principal Engineer, Flint Engineering Company</span></em></p>
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<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">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;</span></p>
<h2 dir="ltr"><strong><span style="font-family: helvetica, arial, sans-serif; font-size: 18px;">Built by the People Who Use It</span></strong></h2>
<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">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.</span></p>
<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">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.</span></p>
<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">That speed of iteration is the point underneath the whole conversation.</span></p>
<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">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.</span></p>
<p dir="ltr">&nbsp;</p>
<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">To learn more about InspectMind AI, visit InspectMind AI's <a href="../../../tools/inspectmind-ai" target="_blank" rel="noopener"><strong>page on aec+tech</strong> </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"><strong data-renderer-mark="true">website</strong></a>.</span></p>
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<p dir="ltr"><span style="font-size: 18px;"><strong><span style="font-family: helvetica, arial, sans-serif;">Editor's Note</span></strong></span></p>
<p dir="ltr"><span style="font-size: 18px;"><strong><span style="font-family: helvetica, arial, sans-serif;"><img src="https://aecplustech-files.s3.amazonaws.com/blog/c3806924-0521-483d-b74d-a01f09ed330e.png" alt="Niknaz Aftahi" width="160" height="160"></span></strong></span></p>
<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">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.</span></p>
<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">&mdash; Niknaz Aftahi, Founder, AEC+Tech</span></p>
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<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"><em><span style="font-size: 15px;">Fig. 1) Ichi helps architecture teams bring code research earlier into the design process, turning complex compliance questions into faster, cited answers.</span></em></figcaption>
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<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">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;</span></p>
<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">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.</span></p>
<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">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.</span></p>
<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">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.</span></p>
<h3 dir="ltr"><span style="font-family: helvetica, arial, sans-serif; font-size: 18px;"><strong>How Manual Code Work Is Costing You</strong></span></h3>
<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">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.</span></p>
<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">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.</span></p>
<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">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.</span></p>
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<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">"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</span></p>
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<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">Her original interest in AI tools came out of that frustration, not out of any particular enthusiasm for AI as a concept.</span></p>
<h3 dir="ltr"><strong><span style="font-family: helvetica, arial, sans-serif; font-size: 18px;">Why Generic AI Tools Fall Short</span></strong></h3>
<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">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.</span></p>
<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">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.</span></p>
<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">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.</span></p>
<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">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.</span></p>
<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"><em><span style="font-size: 15px;">Fig. 2) Ichi&rsquo;s agent based workflow helps teams organize code review, QA/QC, and consultant coordination tasks in a structured review board.</span></em></figcaption>
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<h3 dir="ltr"><strong><span style="font-family: helvetica, arial, sans-serif; font-size: 18px;">What Agentic Actually Means Here</span></strong></h3>
<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">Ichi's product is built around what Brandon calls an agentic approach. The term gets used loosely, so it is worth being specific.</span></p>
<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">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.</span></p>
<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">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.</span></p>
<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">The error-checking piece is more technical but arguably more important.</span></p>
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<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">"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</span></p>
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<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">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.</span></p>
<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">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></span></p>
<h3 dir="ltr"><strong><span style="font-family: helvetica, arial, sans-serif; font-size: 18px;">Reducing the Work Architects Enjoy Least&nbsp;</span></strong></h3>
<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">The most concrete value Ichi delivers shows up in the workflows least enjoyed by architects.</span></p>
<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">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.</span></p>
<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">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.</span></p>
<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">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.</span></p>
<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">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.</span></p>
<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>
<div>&nbsp;</div>
<h3 dir="ltr"><strong><span style="font-family: helvetica, arial, sans-serif; font-size: 18px;"><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></span></strong></h3>
<h3 dir="ltr"><strong><span style="font-family: helvetica, arial, sans-serif; font-size: 18px;">Capturing the Knowledge Before It Walks Out the Door</span></strong></h3>
<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">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.</span></p>
<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">Chinmayi described how the idea took shape at DGA.</span></p>
<blockquote>
<p dir="ltr"><em><span style="font-family: helvetica, arial, sans-serif;">"I wish we could put Mark Davis into a notebook LLM."&nbsp;&mdash; Chinmayi Suri, on DGA principal Mark Davis</span></em></p>
</blockquote>
<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">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.</span></p>
<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">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.</span></p>
<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">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.</span></p>
<h3 dir="ltr"><strong><span style="font-family: helvetica, arial, sans-serif; font-size: 18px;">The Barriers Are Real, but Shrinking</span></strong></h3>
<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">Adoption is rarely about whether a tool works. It is about whether a firm can afford the time to find out.</span></p>
<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">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.</span></p>
<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">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.</span></p>
<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">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.</span></p>
<h3 dir="ltr"><strong><span style="font-family: helvetica, arial, sans-serif; font-size: 18px;">The New Baseline</span></strong></h3>
<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">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.</span></p>
<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">Chinmayi frames it in the only terms that really matter to working architects.</span></p>
<blockquote>
<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;"><em>"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</em></span></p>
</blockquote>
<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">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. </span></p>
<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">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.</span></p>
<hr>
<p><strong><img src="https://aecplustech-files.s3.amazonaws.com/blog/1de0bf31-afe3-430b-82bc-a14f24bea959.png" alt="niknaz aftahi" width="160" height="160"></strong></p>
<p dir="ltr"><span style="font-size: 18px;"><strong><span style="font-family: helvetica, arial, sans-serif;">Editor's Note</span></strong></span></p>
<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">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.</span></p>
<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">Learn more on Ichi&rsquo;s product page: <a href="../../tools/ichi" target="_blank" rel="noopener">https://www.aecplustech.com/tools/ichi</a></span></p>
<p dir="ltr"><span style="font-family: helvetica, arial, sans-serif;">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></span></p>
<p dir="ltr">&nbsp;</p>
<div>
<div style="all: initial !important;">&nbsp;</div>
</div>
<div style="all: initial !important;">&nbsp;</div>

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

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At Designheed, we offer more than design services — we offer solutions.

At Outlook Designheed Consultants Pvt. Ltd., our team comprises experienced architects, engineers, and planners who understand both the broader vision and the finer technical details of every project. From BIM execution and MEP system design to architectural and interior drawings, 3D visualization, and project management consultancy, we collaborate closely with our clients to deliver functional, future-ready, and enduring spaces.

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<p data-start="1823" data-end="2206">InspectMind AI helps engineers review hundreds of pages of drawings in minutes instead of hours.</p>
<p data-start="1823" data-end="2206">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.</p>
<p data-start="1588" data-end="1972">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.</p>
<p data-start="1974" data-end="2377">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.</p>
<p data-start="2379" data-end="2701">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.</p>
<p data-start="2703" data-end="2947">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.</p>
<p data-start="2949" data-end="2966">Typical workflow:</p>
<ol data-start="2968" data-end="3342">
<li data-section-id="qsu294" data-start="2968" data-end="3069">
<p data-start="2971" data-end="3069">Upload drawings<br data-start="2986" data-end="2989">Users upload their architectural or engineering plans directly into InspectMind.</p>
</li>
<li data-section-id="15wns3j" data-start="3071" data-end="3213">
<p data-start="3074" data-end="3213">AI plan analysis<br data-start="3090" data-end="3093">The AI analyzes the full drawing set, identifies potential issues, and compares plans against applicable building codes.</p>
</li>
<li data-section-id="tm56oz" data-start="3215" data-end="3342">
<p data-start="3218" data-end="3342">Review results<br data-start="3232" data-end="3235">Users receive a detailed issue report showing potential risks, code conflicts, and recommended corrections.</p>
</li>
</ol>
<p data-start="3344" data-end="3487">InspectMind AI dramatically reduces manual review time, improves plan quality, and helps project teams move faster from design to construction.</p>

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

<p data-start="623" data-end="717">Kestrel is the first structured compliance data layer for the built environment.</p>
<p data-start="719" data-end="977">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.</p>
<p data-start="979" data-end="1000">Kestrel changes that.</p>
<p data-start="1002" data-end="1307">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.</p>
<p data-start="1309" data-end="1394">At the core of the platform is a fundamental shift: building code becomes computable.</p>
<p data-start="1396" data-end="1742">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.</p>
<p data-start="1744" data-end="1878">This approach turns compliance from a manual, interpretive process into a system that can be evaluated in real time throughout design.</p>
<p data-start="1880" data-end="2216">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.</p>
<p data-start="2218" data-end="2266">The result is a shift in how compliance happens:</p>
<ul data-start="2268" data-end="2467">
<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>
</ul>
<p data-start="2469" data-end="2783">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.</p>
<p data-start="2785" data-end="2967">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.</p>
<p data-start="2969" data-end="3091">As BIM became the system of record for design, there has been no equivalent system for compliance. Kestrel fills that gap.</p>
<p data-start="3093" data-end="3278">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.</p>

Kestrel Labs

<p>ARES Kudo: The Cloud-Based CAD Solution Empowered by AI<br><br>In the rapidly evolving world of computer-aided design (CAD), ARES Kudo has emerged as a game-changing cloud-based solution. Developed by Berlin-based software company Graebert, ARES Kudo is the first online CAD software to reach feature parity with AutoCAD LT, making it a strong alternative for professionals looking for flexible and collaborative drafting tools. With its modern ribbon user interface and more than 300 CAD features, ARES Kudo enables seamless transitions from traditional CAD environments while introducing innovative cloud collaboration capabilities.<br><br>One of the most significant recent advancements in ARES Kudo is the integration of artificial intelligence (AI). Graebert has introduced A3, an AI-powered assistant designed to enhance user experience, optimize workflows, and provide real-time guidance. Unlike generic AI chatbots, A3 is specifically trained in CAD applications, offering expert support tailored to users&rsquo; needs.<br><br>A3: The AI-Powered CAD Assistant<br><br>Artificial intelligence has become an integral part of daily life, from navigation apps to automated customer support. In the CAD industry, AI's potential is now being realized through tools like A3. Initially launched within ARES Commander, A3 is now fully integrated into ARES Kudo, bringing AI-driven assistance directly to users working in the cloud.<br><br>A3&rsquo;s capabilities go beyond simple query responses. The AI assistant helps users locate commands within ARES Kudo&rsquo;s interface, provides step-by-step guidance on using features, and offers best practices for CAD design. For professionals transitioning from other platforms like AutoCAD, A3 simplifies the learning curve by instantly pointing out feature locations. For example, users can type &ldquo;Where is the PDF Import?&rdquo; and A3 will highlight the relevant tool within the interface.<br><br>A3 also functions as an advanced knowledge source for CAD professionals, offering technical advice, design recommendations, and even industry-specific best practices. Whether users are looking for ways to streamline workflows or need assistance with a particular command, A3 serves as an on-demand expert.<br><br>Beyond guidance, A3 can perform time-saving tasks such as unit conversions, text translations, and quick calculations. Its multilingual capabilities make it even more accessible, allowing users to communicate with the AI assistant in languages such as English, Spanish, French, German, and Japanese. Unlike traditional customer support, which may take hours or days to provide answers, A3 delivers instant responses, significantly improving productivity.<br><br>A Cloud-Based Alternative to AutoCAD LT<br><br>ARES Kudo&rsquo;s introduction of A3 is part of a broader effort to position itself as a leading online CAD platform. With a feature-rich environment and a familiar ribbon UI, ARES Kudo now matches AutoCAD LT&rsquo;s functionality while offering additional benefits unique to cloud-based solutions.<br><br>One notable enhancement is its support for dynamic blocks, which ensures compatibility with AutoCAD files and facilitates seamless collaboration between different software environments. Additionally, the integration of the Trinity Block Library provides access to over 450 pre-built dynamic blocks, further boosting efficiency.<br><br>By combining cloud accessibility with AI-driven support, ARES Kudo is redefining the CAD experience. Users can now enjoy a powerful, intelligent, and collaborative design environment, making ARES Kudo a compelling choice for professionals seeking innovation and efficiency in their CAD workflows.<br><br>Learn more about the powerful solution here: https://graebert.pxf.io/JKJgyv</p>

ARES Kudo now features an AI assistant with extensive CAD knowledge.

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

 Online CAD with Dynamic Blocks in ARES Kudo 

ARES Kudo: Full-featured 2D Online CAD for your DWG Drawings

ARES Kudo Online CAD for DWG Viewing, Creation and Modification in your Internet Browser

ARES Kudo

Cloud-Only Plan (includes ARES Kudo only)

Mobility Pack (includes ARES Kudo and ARES Touch)

ARES Trinity Plan (includes ARES Kudo, ARES Touch, and ARES Commander)

Because ARES Kudo runs in a browser, it can be accessed on any computer.

8600 AutoCAD users migrated to ARES CAD Software at Takenaka in Japan

Featuring Graebert at the AEC Innovate Conference

Featuring ArkDesign.AI at the AEC Innovate Conference

ARES Kudo: DWG Drawings Automation for Developers

ARES Kudo by Graebert Introduces AI to Assist Its Users

<h1 data-start="260" data-end="340"><span style="font-size: 16px;"><strong data-start="262" data-end="340">Ideate StyleManager for Revit: Clean, Standardize, and Optimize BIM Styles</strong></span></h1>
<h2 data-start="347" data-end="390"><span style="font-size: 16px;">Why Revit Styles Become a Hidden Problem</span></h2>
<p data-start="392" data-end="739"><span style="font-size: 16px;">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.</span></p>
<p data-start="741" data-end="846"><span style="font-size: 16px;">Over time, even well-structured projects can drift away from office standards without teams realizing it.</span></p>
<h2 data-start="853" data-end="885"><span style="font-size: 16px;">What Ideate StyleManager Does</span></h2>
<p data-start="887" data-end="1150"><span style="font-size: 16px;">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.</span></p>
<p data-start="1152" data-end="1249"><span style="font-size: 16px;">The tool makes it easier to clean up project files and enforce consistent standards across teams.</span></p>
<h2 data-start="1256" data-end="1300"><span style="font-size: 16px;">Safe Cleanup with Built-In Style Analysis</span></h2>
<p data-start="1302" data-end="1450"><span style="font-size: 16px;">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.</span></p>
<p data-start="1452" data-end="1752"><span style="font-size: 16px;">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.</span></p>
<h2 data-start="1759" data-end="1815"><span style="font-size: 16px;">Improving Model Performance and Documentation Quality</span></h2>
<p data-start="1817" data-end="1928"><span style="font-size: 16px;">Style clutter does more than create visual inconsistencies. It can also impact file size and model performance.</span></p>
<p data-start="1930" data-end="2181"><span style="font-size: 16px;">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.</span></p>
<h2 data-start="2188" data-end="2225"><span style="font-size: 16px;">Supporting Long-Term BIM Standards</span></h2>
<p data-start="2227" data-end="2312"><span style="font-size: 16px;">Ideate StyleManager is not just a cleanup tool. It supports long-term BIM governance.</span></p>
<p data-start="2314" data-end="2577"><span style="font-size: 16px;">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.</span></p>
<p data-start="2579" data-end="2740"><span style="font-size: 16px;">For teams focused on Revit efficiency and model reliability, Ideate StyleManager offers a practical solution for maintaining cleaner, healthier BIM environments.</span></p>

Ideate StyleManager

<p>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.<br><br>1. Automated Clash Detection for Accurate Model Validation<br><br>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.<br><br>2. Customizable Documentation &amp; Reporting<br><br>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.<br>3. AI-Powered Integration with BAMROC for Enhanced Clash Management<br><br>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.<br><br>4. Seamless BIM Workflow Integration<br><br>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.<br><br>5. Enhancing Project Efficiency Through Advanced Clash Management<br><br>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.<br><br>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.</p>

KlashBIM

<p>EGNYTE CONTENT CLOUD<br>Unlock the full potential of your mission-critical content by simplifying collaboration, improving productivity with AI, and addressing information governance.<br><br><br>PLATFORM<br>The Egnyte Platform provides robust, secure, and compliant infrastructure that can be customized and scaled to match your business needs.<br><br>Faster Time to Value<br>Egnyte delivers immediate value with little or no customization but can tailor its offering to meet your business needs and integrate with your environment.<br><br>Trusted by IT Leaders<br>Thousand of IT leaders appreciate Egnyte&rsquo;s ease of deployment combined with a secure and compliant architecture.<br><br>Loved by End-users<br>End-users love working with Egnyte because of its accessibility from wherever they work, without forcing them to alter established processes and behavior.<br><br><br>COLLABORATION<br>Collaborate on mission-critical content with distributed teams working from an office, from home, or on the go.<br><br>Collaborate Efficiently<br>Empower teams to work efficiently and confidently, accelerating project timelines while protecting valuable content.<br><br>Manage Complex Files<br>Efficiently collaborate on mission-critical content and empower teams that work with large, complex files (up to 250 GB) in the cloud.<br><br>Streamline Workflows<br>Enhance workflows, improve productivity, drive project momentum, and ensure secure interactions across teams and partners.<br><br><br>INTELLIGENCE<br>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.<br><br>Private<br>Egnyte&rsquo;s AI respects your governance model and adheres to user-specific permissions, protecting your data with stringent privacy, compliance, and security standards.<br><br>Purposeful<br>Get accurate, relevant, and traceable answers from your data, with complete control over data sources and AI prompts.<br><br>Practical<br>Integrate AI seamlessly into existing workflows without moving data out of Egnyte, eliminating the need for new tools or special skills.<br><br><br>GOVERNANCE<br>Proactively Address Rapidly Evolving Cyberthreats and Manage Compliance Requirements<br><br>Defend Against Ransomware<br>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.<br><br>Protect Sensitive Content<br>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.<br><br>Manage Regulatory Compliance<br>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.<br><br>Remediate Security Issues<br>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.<br><br>Keep Data Confidential<br>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.</p>

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

<p>D5 Render is a leading real-time rendering solution that revolutionizes the architectural and design workflows. Powered by AI-driven and cutting-edge technologies, D5 empowers architects, designers, and visualization artists to work more efficiently and collaboratively, accelerating creation while ensuring consistently accurate and photorealistic results.<br><br>-Best balance between speed and quality<br>-Seamless integration with your favorite design workflow<br>-User-friendly for designers, architects, visualizers, and archviz animation professionals alike<br>-Free access and a cost-effective teams subscription option<br><br>D5 Render is transforming the world of architectural visualization by bringing real-time rendering into everyday workflows&mdash;without sacrificing quality. Designed with architects, designers, and visual storytellers in mind, D5 combines high-speed GPU processing with an intuitive interface, allowing users to create photorealistic renderings, animations, and walkthroughs almost instantly.<br><br>Unlike traditional rendering engines that require long wait times and technical know-how, D5 simplifies the process through real-time preview and rendering capabilities. Users can drag and drop assets, make lighting and material adjustments on the fly, and see results in seconds&mdash;all while working within a seamless, responsive environment. It also supports live sync with popular modeling tools like SketchUp, Rhino, Revit, and Archicad, streamlining the design-to-render workflow.<br><br>What sets D5 apart is not just its speed, but also its ability to handle large, complex scenes with remarkable performance. Its AI-powered denoising engine and built-in library of assets&mdash;including vegetation, lighting, and materials&mdash;help elevate visualization without external plugins or post-production tools.<br><br>Architects and design firms using D5 report significant time savings, improved client communication, and enhanced design decision-making. By eliminating the barrier between modeling and rendering, D5 allows teams to visualize concepts earlier and with greater clarity&mdash;ultimately leading to better outcomes.<br><br>For firms working on tight deadlines or aiming to elevate their presentations, D5 offers a powerful solution that redefines what&rsquo;s possible in real-time rendering. It&rsquo;s not just a tool&mdash;it&rsquo;s becoming a core part of the modern architectural tech stack.<br><br>Check out our latest article: https://www.aecplustech.com/blog/rendering-redefined-d5-real-time-revolution-architects-design-firms</p>

D5 Render

Featuring D5 Render at the AEC Innovate Conference

Rendering Redefined: D5’s Real-Time Revolution

Why Every Designer Needs Collaborative Rendering (Webinar)

Why Every Designer Needs Collaborative Rendering

<p>ARES is a modern, feature-rich CAD software that serves as a leading AutoCAD alternative for professionals working with 2D drafting and 3D modeling in the industry-standard DWG file format. Developed by Graebert, ARES combines power, flexibility, and affordability&mdash;making it an ideal solution for architects, engineers, designers, and construction professionals seeking a more cost-effective, high-performance CAD platform.<br><br>With a growing global footprint, ARES is trusted by some of the world&rsquo;s most prominent companies. Among its users are three of Japan&rsquo;s top five construction groups, as well as globally recognized manufacturers such as LG, Hyundai, and Samsung. Its robust feature set supports the complex demands of design, engineering, and construction workflows, offering seamless collaboration and precision.<br><br>ARES also serves as the underlying technology for other leading CAD solutions. It powers DraftSight by Dassault Syst&egrave;mes, a popular CAD software for 2D design, and Onshape Drawings, the drawing module within the cloud-native Onshape CAD platform. These partnerships highlight ARES&rsquo;s reliability, scalability, and integration capabilities across different design environments.<br><br>As a truly cross-platform CAD solution, ARES is available on Windows, macOS, and Linux, with additional cloud and mobile access through ARES Kudo (web-based) and ARES Touch (mobile app). This ensures design professionals can work seamlessly across devices and locations, with real-time syncing and collaboration tools.<br><br>With its DWG compatibility, modern interface, and flexible subscription-based licensing model, ARES offers a compelling alternative to traditional CAD tools&mdash;without sacrificing performance or productivity. Whether you're migrating from AutoCAD or starting fresh with a new CAD workflow, ARES delivers the tools you need to design faster, collaborate smarter, and lower your total cost of ownership.<br><br>Discover why ARES is the next-generation DWG CAD software for today&rsquo;s professionals.<br><br>DWG Compatibility:<br>ARES Commander works directly with DWG files, making it a good option for users familiar with other CAD software that uses this format. <br><br>Part of the ARES Trinity:<br>ARES Commander is the desktop component of Graebert's Trinity, which also includes cloud-based ARES Kudo and mobile ARES Touch. This allows for seamless workflows across devices. <br><br>Productivity Features:<br>ARES Commander includes features like Power Trim, Dimension Palette, and Layer Tools, designed to enhance user productivity. <br><br>Customization:<br>Users can customize their workspaces and user interfaces to suit their preferences. <br><br>Collaboration:<br>The ARES Trinity enables collaboration features, allowing users to share, view, and edit drawings across different platforms and devices. <br><br>Cloud Integration:<br>ARES Commander integrates with popular cloud storage services like Box, Dropbox, Google Drive, and iCloud. <br><br>BIM Features:<br>ARES Commander also includes BIM (Building Information Modeling) features, allowing users to import and view Revit and IFC files, extract 2D drawings, and extract BIM information into tables. <br><br>Licensing:<br>ARES Commander offers perpetual, annual, or flex licenses, and a single license can be used across multiple computers with different operating systems.</p>

Modern workflows leveraging cloud and mobile to synchronize the work across all your users and devices.

CAD Anywhere: Desktop CAD (Windows, Mac, Linux), Cloud CAD (runs in your Internet browser), and Mobile CAD (Android tablets/smartphones and iOS iPhone/iPad).

With the DWG for BIM features in ARES Commander, users can create smarter CAD drawings whose geometry can be extracted and updated from Revit and IFC BIM projects.

ARES Commander - Desktop CAD: All the 2D and 3D features needed to create and modify DWG drawings on Windows, macOS, and Linux.

ARES Kudo - Online CAD: Create and modify DWG drawings online, and enjoy new collaboration features to comment with voice, photos, text notes, and stamps.

ARES Touch - Mobile CAD: A full set of 2D features to create, modify, and annotate DWG drawings on your Android smartphone/tablet and iOS iPhone/iPad with unique collaboration features to markup with voice, photos, text notes, and stamps.

ARES Trinity by Graebert

The ARES Trinity of CAD software encompasses three integrated software products: ARES Commander, ARES Kudo, and ARES Touch.

Featuring Graebert ARES CAD software at the AEC Innovate Conference

The Brigade Group, a leading property developer in India, wanted to reduce the turnaround time for commercial testfits significantly. To do this, they realised that the client-facing sales team had to be empowered to make minor design changes without the intervention of the design team to speed up decision-making. 

The Client
The Brigade Group is one of the largest property developers in India, with well over 70 million sqft of developed space across the country. Their portfolio boasts developments across diverse property segments, including commercial, residential, retail and hospitality. They recently launched their own co-working brand 'BuzzWorks' with a portfolio of over 5 million sqft.



Commercial Testfits Created Rapidly with Snaptrude

BoQ of a Commercial Interior Project Auto-Generated on Snaptrude

Commercial Testfits Delivered in 90mins

Snaptrude is a collaborative design tool for architects and interior designers. Design teams can build efficient buildings, with data & automation,  saving weeks’ worth of effort. Collaborate with your team in real-time for faster feedback and approvals. As Snaptrude works on a web browser, you can work on any device, from anywhere in the world. Revit, AutoCAD, SketchUp, Rhino, 3DSMax, ArchiCad, Vectorworks

Snaptrude

 Snaptrude New Snaptrude Features to Help You Grow in Your Architecture Practice

India

<p data-start="144" data-end="433">Tracking construction progress and quality is still slow, manual, and scattered across photos, spreadsheets, and chat threads. Site teams rarely have a single source of truth for all trades, and general contractors have no reliable metrics to compare subcontractor quality across projects.</p>
<p data-start="435" data-end="828"><strong data-start="435" data-end="447">Contineu</strong> is an AI powered construction quality control platform that automatically detects defects from 360 site capture and marks them on the floor plan. Using helmet mounted 360 cameras and computer vision, Contineu turns everyday site walks into structured QA and QC data, so teams can see every issue, track its history, and close it out faster.</p>
<p data-start="835" data-end="855">&nbsp;</p>
<p data-start="835" data-end="855"><strong data-start="835" data-end="855">Key capabilities</strong></p>
<ul data-start="857" data-end="1584">
<li data-start="857" data-end="964">
<p data-start="859" data-end="964">AI for construction QA and QC that automatically detects and tracks defects across trades and locations</p>
</li>
<li data-start="965" data-end="1081">
<p data-start="967" data-end="1081">Visual defect map that pins every issue directly on the floor plan and keeps a full history of changes over time</p>
</li>
<li data-start="1082" data-end="1224">
<p data-start="1084" data-end="1224">Central quality hub that gives project teams, quality managers, and executives one place to review open issues, status, and responsibility</p>
</li>
<li data-start="1225" data-end="1334">
<p data-start="1227" data-end="1334">Subcontractor performance metrics that help you compare quality across trades, projects, and time periods</p>
</li>
<li data-start="1335" data-end="1454">
<p data-start="1337" data-end="1454">Automated documentation using 360 cameras, so field teams capture walk throughs once and Contineu does the analysis</p>
</li>
<li data-start="1455" data-end="1584">
<p data-start="1457" data-end="1584">Actionable reports for owners and leadership that show risk, recurring defect types, and progress toward zero defect handover</p>
</li>
</ul>
<p data-start="1591" data-end="1614">&nbsp;</p>
<p data-start="1591" data-end="1614"><strong data-start="1591" data-end="1614">Value for AEC teams</strong></p>
<p data-start="1616" data-end="1968">With Contineu, quality control teams no longer need to log every defect by hand or chase screenshots and messages. AI surfaces the issues, assigns location and context, and keeps everything in a structured, searchable record. The result is fewer missed defects, less rework, and clear, data driven visibility into construction quality on every project.</p>

Contineu

<div><strong>Authentication &amp; Authorization</strong></div>
<div>- JWT-based authentication with secure token management</div>
<div>- 4 User Roles: Admin, Manager, Team Leader, Member</div>
<div>- Role-based access control (RBAC)</div>
<div>- Team-based data isolation</div>
<div>- Secure password hashing (bcrypt)</div>
<div>&nbsp;</div>
<div><strong>Team Management</strong></div>
<div>- Create and manage multiple teams</div>
<div>- Assign team leaders and members</div>
<div>- Team-based project access</div>
<div>- Role hierarchy enforcement</div>
<div>&nbsp;</div>
<div><strong>Project Management</strong></div>
<div>- Multiple BIM Sources:</div>
<div>- Speckle integration</div>
<div>- Local IFC file upload (max 100MB)</div>
<div>- Autodesk Construction Cloud</div>
<div>- Autodesk Drive</div>
<div>- roject creation with team assignment</div>
<div>- Start/End date tracking</div>
<div>- Progress monitoring</div>
<div>- Team leader assignment</div>
<div>&nbsp;</div>
<div><strong>Advanced Gantt Chart</strong></div>
<div>- 5 View Modes: Week, Month, 1 Year, 2 Years, 3 Years</div>
<div>- Project Selector: View all projects or specific project</div>
<div>- Smart Filters:</div>
<div>- Team filter</div>
<div>- User filter</div>
<div>- Role filter</div>
<div>- Visual Features:</div>
<div>- Color-coded task status</div>
<div>- Progress bars</div>
<div>- Hover tooltips</div>
<div>- Task statistics</div>
<div>- Role-Based Views:</div>
<div>- Admin: All tasks</div>
<div>- Manager: Their teams' tasks</div>
<div>- Team Leader: Their team's tasks</div>
<div>- Member: Only their tasks</div>
<div>&nbsp;</div>
<div><strong>Task Management</strong></div>
<div>- Create tasks with hierarchy</div>
<div>- Parent-child relationships</div>
<div>- Task dependencies (FS, SS, FF, SF)</div>
<div>- Progress tracking (0-100%)</div>
<div>- Status management (To Do, In Progress, Done)</div>
<div>- Priority levels</div>
<div>- Assignee management</div>
<div>- Link tasks to BIM elements</div>
<div>&nbsp;</div>
<div><strong data-start="96" data-end="121">BIMBOSS 4D Simulation</strong> transforms traditional project planning by integrating your construction schedule directly with the 3D model, creating a powerful visual timeline of how a project will be built. With BIMBOSS, teams can easily link activities to model elements, generate animated construction sequences, detect clashes in scheduling, and identify workflow inefficiencies before they happen. This gives contractors, designers, and owners a clear view of project progress, helps reduce delays, and improves communication across all stakeholders. 4D Simulation ultimately turns your BIM model into a dynamic planning and coordination tool that supports smarter, data driven decision making throughout the entire construction lifecycle.</div>
<div>&nbsp;</div>

4D SIMULATION

<p data-start="98" data-end="156"><strong>ContraVault AI: Redefining RFP and Tender Management</strong></p>
<p data-start="158" data-end="678">ContraVault AI is a purpose-built platform designed to transform how Architecture, Engineering, Construction (AEC) firms and public-sector contractors approach RFPs, RFQs, and tenders. Instead of spending weeks manually reviewing documents, extracting requirements, and drafting responses, teams can now move from document intake to proposal-ready output in hours. Trained on more than 200,000 AEC-specific solicitations, ContraVault AI delivers precision, speed, and confidence across the pre-award lifecycle.</p>
<p data-start="158" data-end="678"><strong>Key Features:</strong></p>
<p data-start="714" data-end="1089">1. Go/No-Go Analyzer<br data-start="738" data-end="741">This tool eliminates guesswork in bid/no-bid decisions. ContraVault scans the full solicitation package to flag disqualifiers, mandatory qualifications, and hidden risks. It generates a compliance score and rationale, giving decision-makers a defensible basis for pursuing or passing on an opportunity&mdash;reducing decision time from days to minutes.</p>
<p data-start="1091" data-end="1508">2. Risk Finder<br data-start="1109" data-end="1112">Risks that derail bids often hide in technical clauses or commercial terms. Risk Finder detects issues like unrealistic schedules, liquidated damages, unfavorable payment conditions, or stringent bonding requirements. Each is scored on impact &times; likelihood, with cost/time exposure estimates, mitigation strategies, and direct page-linked citations&mdash;so your team can address them proactively.</p>
<p data-start="1510" data-end="1857">3. RFP Shredder<br data-start="1529" data-end="1532">Manual compliance matrices are slow and error-prone. The RFP Shredder automatically extracts every requirement&mdash;forms, certifications, prior project criteria, personnel qualifications, and insurance thresholds&mdash;into a structured, exportable matrix. Nothing slips through, and each item is traceable back to its source clause.</p>
<p data-start="1859" data-end="2199">4. Multi-Document Search<br data-start="1887" data-end="1890">Unlike keyword-based Ctrl+F, ContraVault offers semantic, context-aware search across the entire tender set: specs, addenda, drawings, and attachments. It retrieves precise answers (bonding limits, milestone deadlines, warranty obligations) with page-linked citations, enabling instant, defensible insights.</p>
<p data-start="2201" data-end="2578">5. Pre-Bid Clarifications<br data-start="2230" data-end="2233">ContraVault identifies ambiguities, conflicts, or gaps and auto-drafts numbered clarification questions (RFIs). These outputs include discipline tags (civil, MEP, structural, commercial), rationales, and page references, and are exportable to Excel/Word/CSV. It also tracks Q&amp;A submission deadlines, ensuring clarifications are raised on time.</p>
<p data-start="2580" data-end="3078">6. AI Proposal Drafter &amp; Knowledge Reuse<br data-start="2624" data-end="2627">Proposal writing shifts from &ldquo;blank page&rdquo; to intelligent drafting. By indexing your firm&rsquo;s past proposals, resumes, and project sheets, ContraVault generates tailored responses in your organization&rsquo;s authentic voice. It ensures consistency, reuses the best content, and drastically reduces writing time. The SF-330 Assistant extends this for federal pursuits by structuring Section F/H content with relevant project and personnel qualifications.</p>
<p data-start="2580" data-end="3078"><strong>Proven Outcomes:</strong></p>
<ul data-start="3106" data-end="3396">
<li data-start="3106" data-end="3170">
<p data-start="3108" data-end="3170">90%+ faster document reviews and requirement extraction.</p>
</li>
<li data-start="3171" data-end="3257">
<p data-start="3173" data-end="3257">Fewer disqualifications through proactive compliance and certification checks.</p>
</li>
<li data-start="3258" data-end="3315">
<p data-start="3260" data-end="3315">More bids submitted without increasing headcount.</p>
</li>
<li data-start="3316" data-end="3396">
<p data-start="3318" data-end="3396">Consistent, higher-quality proposals leveraging institutional knowledge.</p>
</li>
</ul>
<p data-start="3398" data-end="3542">ContraVault AI enables teams to spend less time reading and more time winning contracts&mdash;turning RFP complexity into competitive advantage.</p>

ContraVault AI

ProtoTech converter's outstanding features:<br />1. Supports face-level colors<br />2. Exports sketches<br />3. Option provided to control the file size and quality by specifying precision value<br />4. Exports selected elements.<br />5. Control over facet tolerance. 

OBJ Exporter for AutoCAD

ProtoTech converter's outstanding features:<br />Supports face-level colors.<br />You can set a password on the exported PDF file.<br />Option to control the file size and quality by specifying precision value.<br />There is always a default compression which helps to reduce the file size as much as possible.

3D PDF Exporter for AutoCAD

Wrench Solutions SmartProject?  Here’s an overview: Schedule & progress monitoring with WBS scheduling, schedule re-forecasting.  Engineering deliverable management with MDL, definition of Rules of Credit. Procurement deliverable management with vendor registration, pre/post order management, BOQ handling, E-tendering, and technical bid comparison. Construction deliverable management with construction planning, quantity capture, drone quantity capture, daily progress report, and re-forecasting. Quality management with workflow definitions & to-do lists. Safety, risk, and contract Management with safety audit plans, safety logs, risk planning & heatmaps, and standard contract templates. Resources management with planning & utilization dashboards. Costs & cashflow management with budgeting & WBS linked to payment milestones. Snagging & close-out with photos. Project portfolio management with project health parameters & 4D/5D views & a PMO Experience Centre. All in one platform! To date, Wrench SmartProject has been used on more than 10000 projects across 32 countries.<br /><br />Through our proprietary platform called Wrench SmartProject, we help owners, contractors, designers, and consultants coordinate and synchronize all the elements of their projects and ensure the proper management of project stakeholders, information, and resources by the company's defined standard processes. 

Wrench Solutions

digiQC is a quality control and assurance software designed for the construction industry. It ensures authenticity of data by permanently storing all records without any option to delete them. Photos for inspection checklists can only be taken through the app and not attached from the gallery to maintain authenticity. Authorization is mapped to ensure that only authorized personnel conduct specific inspections. The inspection is linked with the agency that performed the work, enabling performance evaluation. The team portal facilitates communication between the agency and external approvers, and there are no charges or restrictions on the number of users added to the portal.<br />

Revolutionizing Construction Quality Assurance: Introducing digiQC

Result for “India”

Companies "3 results"

Negbuy private limited

Outlook Designheed Consultants Pvt Ltd

ProtoTech Solutions