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Lucas Hayden of Unanet explores how AI can reduce busywork, connect AEC business systems, and help firms make faster, better-informed decisions.

The Busywork Disappears, Not the People: Unanet on AI in AEC

Technology leaders from Flad Architects, NBBJ, and Stantec on how architecture firms move AI past experiments into governed, repeatable practice that augments professional teams.

How Leading Architecture Firms Are Moving AI From Pilots to Everyday Practice

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<img src="https://aecplustech-files.s3.amazonaws.com/blog/61d0ceef-f5e6-476c-99ba-639f5cd60ebc.png" alt="" width="1080">
The client loves the scheme, then asks what the facade looks like in brick instead of stone, and the meeting stalls because the only honest answer is "let me render that and get back to you." Every architect knows that stall.&nbsp;
At AEC+Tech, we've watched the AEC tools we cover get very good at making the picture look real. What's changing now is where that picture sits in the process, moving from documentation into the decision itself.&nbsp;
For most of the last decade, progress in architectural visualization has been measured in image quality. Physically accurate lighting, richer material systems, and real-time ray tracing have closed much of the gap between a render and a photograph. What used to count as exceptional is now the baseline clients expect.
Rendering has improved fast. One part of the workflow has barely moved.
Design reviews still lean on static images, pre-rendered animations, and fixed camera paths. Those outputs record decisions well enough, but they sit outside the conversation. The moment a meeting turns toward a different material, a new lighting condition, or an alternate scheme, the presentation stalls while someone prepares fresh visuals elsewhere.
That gap matters more as practice becomes more collaborative. Clients, consultants, engineers, and developers now weigh in across the whole design process, not only at the end. Meetings have turned into working sessions where decisions take shape in the room. The way architecture gets presented has to keep up with that.
So visualization is starting to play a different part. Beyond the final picture, it is becoming a medium for discussion, comparison, and decisions made on the spot. The next step forward may be interaction as much as realism.
Every architect knows the moment a client asks to see it another way and the room goes quiet waiting on new visuals. D5 says 3.1 closes that gap, and will <a href="https://www.d5render.com/webinars/whats-new-in-d5-3-1" target="_blank" rel="noopener">prove it live on July 21</a>
<h2 dir="ltr">Answer "Can We See It Another Way?" On the Spot&nbsp;</h2>
This is the thinking behind <a href="https://bit.ly/d5-3-1" target="_blank" rel="noopener">D5 3.1.</a>
Plenty of tools compete on how convincing the picture looks. Fewer ask what happens to it once a room full of stakeholders starts pushing back.&nbsp;
The release starts from a practical question: how does visualization stay useful once the meeting starts?
D5's answer is Interactive Presentation, a workflow that lets architects organize a review like a slide deck while keeping the live project open behind it.
<figure class="image"><img src="https://aecplustech-files.s3.amazonaws.com/blog/764404fa-3db9-4d3c-b9ec-9e36afea816e.png" alt="Interactive Presentation enables real-time scene switching with slides and 3D triggers." width="1080">
<figcaption>Interactive Presentation enables real-time scene switching with slides and 3D triggers.</figcaption>
</figure>
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Instead of preparing several image sets or separate animations ahead of time, teams can move between design schemes, materials, lighting, weather, viewpoints, and object visibility inside a single presentation. A question that used to interrupt the review can be explored right away. Real-time scene switching runs through slides and 3D triggers, so the flow of the meeting holds together.
The presentation becomes a working space for the design, one the team can steer as the discussion moves.
<h2 dir="ltr">Let Clients Walk the Space Before It Exists&nbsp;</h2>
Interactive Presentation sits inside a wider set of tools aimed at making review more interactive and easier to adapt to the room.
Stereoscopic Panorama brings depth-aware panoramic views to VR, which helps clients and project teams read scale, materials, and how spaces relate to one another. Better VR navigation and controller handling make VR walkthroughs steady enough for everyday reviews rather than occasional demos.
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Spatial Tour has moved along too, with faster scene generation, smoother transitions between indoor and outdoor spaces, and dollhouse views that make it simpler to move through a complicated project.
These tools sit alongside still renders and animations and widen the options, so a team can pick the right way to explore a design based on the audience, the project stage, and what the review needs to settle.
<h2 dir="ltr">Start Seeing the Design the Moment You Model It&nbsp;</h2>
The quality of any review depends on everything that happens before it.
As visualization gets pulled deeper into design work, architects increasingly want to test ideas while those ideas are still moving, instead of waiting for documentation to finish. In that sense, presentation begins earlier than the slide deck. It begins when a team first tries out form, light, material, atmosphere, and how a space feels to move through.
In practice, the visual thinking usually happens long before anyone opens presentation software, and tools have been slow to meet designers there.&nbsp;
That continuity reaches past D5 Render itself. After its earlier <a href="https://www.aecplustech.com/tools/sketchup">SketchUp</a> release, D5 Lite now works inside Rhino and <a href="https://www.aecplustech.com/tools/revit">Revit</a>, bringing real-time visualization into more of the tools architects already use. Designers can preview materials, lighting, and visual direction without leaving the modeling environment, which supports quicker exploration during concept work, massing studies, facade development, and iterative testing.
<figure class="image"><img src="https://aecplustech-files.s3.amazonaws.com/blog/faae324a-8c58-4578-aac2-06f9faac39b1.png" alt="D5 Lite: Visualize projects directly inside Rhino, Revit and Sketchup" width="1080">
<figcaption spellcheck="false" data-qb-tmp-id="lt-724231" data-gramm="false">
Start in D5 Lite, finish in D5 Render, without switching tools
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D5 Lite is built for that early work, making design decisions more visual from the start. When a project needs higher-end imagery, animation, or an interactive presentation, the work carries on into D5 Render. Paired with Cloud Collaboration, distributed teams can review and share work with less reliance on manual file swaps or local hardware, which keeps things continuous from concept through client review.
<h2 dir="ltr">Photoreal That Holds Up When Clients Look Closely&nbsp;</h2>
As presentations get more interactive, the visuals behind them matter even more. A live scene only works if it holds up when someone leans in.
D5 Render 3.1 adds a set of production-focused improvements that strengthen realism while keeping real-time response.&nbsp;
<figure class="image"><img src="https://aecplustech-files.s3.amazonaws.com/blog/84679fde-46df-4239-985d-65e93278fb1f.png" alt="ACEScg Color Space preserves richer HDR color detail and supports professional ACES workflows" width="1080">
<figcaption spellcheck="false" data-qb-tmp-id="lt-926652" data-gramm="false">ACEScg Color Space preserves richer HDR color detail and supports professional ACES workflows</figcaption>
</figure>
The move to an ACEScg working color space brings in a production-grade color pipeline, the kind used in film and visual effects, which improves color consistency across visualization and post-production. HeightField Tracing gives displacement materials richer surface relief without adding geometric weight, so brick, stone, and timber keep convincing physical depth even in large scenes.
<figure class="image"><img src="https://aecplustech-files.s3.amazonaws.com/blog/196052f2-45b2-4577-a1c1-32e97aa7bc83.png" alt="Seasonal Vegetation lets foliage and branch structure change by date, previewing all seasons in one scene" width="1080">
<figcaption spellcheck="false" data-qb-tmp-id="lt-626429" data-gramm="false">Seasonal Vegetation lets foliage and branch structure change by date, previewing all seasons in one scene</figcaption>
</figure>
Landscape work gains more nuance through Seasonal Vegetation, which lets foliage and branch structure change by date and previews a full year of a planting scheme in one scene. A run of smaller refinements rounds it out, including Custom Pivot, MeasureLine, improved City Generator controls, smarter Auto Exposure, and wider Gaussian Splatting support. Each one trims repetitive adjustments and keeps production moving.
It adds up to one point. An interactive presentation is only as good as the rendering underneath it, and that rendering has to hold both fidelity and speed at once.
<h2 dir="ltr">From Better Images to Better Decisions&nbsp;</h2>
Architectural visualization has spent years chasing realism. That work continues, though realism on its own no longer defines the field.
As projects get more collaborative, the ability to move between options, respond to feedback, and explain a design in context is becoming just as important. Presentations are becoming part of the design process itself.
<blockquote>
"The tools we end up writing about at AEC+Tech are rarely the ones with the longest feature list. They're the ones that change how a decision gets made."&nbsp; &mdash; Niknaz Aftahi&nbsp;
</blockquote>
D5 3.1 reflects that direction. It builds presentation into the design work, making visualization a place where ideas can be explored, compared, and refined with the people in the room.
Whether this turns out to be the next phase of the discipline is still an open question. The goal is clearly shifting, from producing better images toward better conversations about the work.
The biggest change in D5 3.1 sits outside the render itself. Visualization now stays in play through the whole conversation, long after the image is done.
<h2 dir="ltr">See it live&nbsp;</h2>
D5 will demonstrate the 3.1 workflow in a live webinar on Tuesday, July 21, 2026 at 1:00 PM UTC, hosted by Jeff Espinoza, D5's Director of Customer Success and Services. The session covers D5 Lite for Rhino and Revit, Interactive Presentation, VR review, Stereoscopic Panorama, ACEScg, HeightField Tracing, and Seasonal Vegetation.
You can register using&nbsp;<a href="https://www.d5render.com/webinars/whats-new-in-d5-3-1" target="_blank" rel="noopener">this webinar page</a>, and anyone who registers but cannot attend will receive access to the recording.
To learn more about D5 Render, visit their <a href="../../../tools/d5-render" target="_blank" rel="noopener">page on aec+tech&nbsp;</a>or explore the latest features on the official <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.d5render.com/" href="https://www.d5render.com/" target="_blank" rel="noopener" data-renderer-mark="true" data-is-router-link="false" data-testid="link-with-safety">D5 Render website</a>.
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<img src="https://aecplustech-files.s3.amazonaws.com/blog/b02023eb-2713-4ea3-a35f-e0c2bb302c00.png" alt="" width="160" height="160">
Niknaz Aftahi is the founder of AEC+Tech. This article was produced with materials from D5 as part of a partnership, and independently edited for the AEC+Tech community.
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D5 Render

D5 Render 3.1 turns design reviews into live sessions. Interactive Presentation switches schemes, materials, and lighting on the spot; D5 Lite reaches Rhino and Revit. 

D5 3.1 Wants to End the "We'll Render It Tomorrow" Moment

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

InspectMind AI

AI plan review saves hours, but engineers say the real payoff is fewer lawsuits, cleaner permit reviews, and errors caught before they reach the field.

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

Trimble selected 15 AECO startups for its 2026 0-60 Challenge, supporting AI, robotics, and interoperability integrations across construction workflows.

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

<h2>Overview</h2>
ShapeDo Ltd is a venture-backed construction technology company founded in 2014, with offices in Israel and London. It makes two products: ShapeDo, a collaborative design change management platform, and Purple Hammer, a desktop application for construction PDF and spreadsheet operations covering viewing, markup, measurement, comparison, takeoff and estimating.
Both are built on the company's drawing alignment and comparison engine, which can take two revisions of a construction drawing and make every addition, removal and alteration visible.
<h2>ShapeDo - Design Change Management</h2>
Construction projects run on drawings that change constantly, and information about those changes ends up scattered across PDF tools, spreadsheets, email and document platforms. Teams can usually find the latest drawing; what they struggle to know is exactly what changed since the last revision, who needs to review it, and what it does to quantities, cost and programme.
ShapeDo is the project-level, collaborative platform for keeping that under control. Its capabilities include:
<ul>
<li>Automatic comparison of drawing revisions, highlighting exactly what was added, removed or altered between versions</li>
<li>Structured review workflows that route each change to the people responsible for assessing it, with assigned actions tracked to closure</li>
<li>Design issue logging and RFI management connected directly to the drawings in question</li>
<li>A complete, auditable history of drawing versions, reviews and decisions across the life of the project</li>
<li>Dashboards and records showing outstanding reviews and unresolved issues at project level</li>
</ul>
<h3>Across the Project Lifecycle</h3>
ShapeDo is used throughout a project. During tendering and preconstruction, teams use it to identify design movement that affects scope, quantities or price. During delivery, design managers, project managers, commercial teams and consultants use it to coordinate reviews and keep change under control.
At the back end of a job, its records support change substantiation, final-account negotiations, claims analysis and dispute resolution, because the project can show precisely what changed, when, why and by whom.
Uncaught design changes are among the most common causes of contractor losses, and the reason is structural rather than careless: a revision can alter scope without anyone flagging it, and the cost only surfaces when the work is built. ShapeDo's purpose is to make sure no change goes unseen.
<h2>Purple Hammer - Desktop PDF and Estimating</h2>
Purple Hammer is a single-user desktop product for macOS and Windows, built for the construction industry's daily PDF and spreadsheet operations: viewing, marking up, measuring, comparing and organising drawing sets, and pricing what gets measured.
It suits anyone who spends their working day in construction PDFs, including site engineers and project managers, and goes deepest for estimators, quantity surveyors, contractors and specialist subcontractors - adding live estimating spreadsheets so measurement and pricing happen in one native application instead of the usual split between a PDF tool and Excel.
<h3>Connected Takeoff and Estimate</h3>
Measurements - lengths, areas, perimeters and counts - flow directly into built-in worksheets, where formulas, rates and cost databases turn quantities into a priced estimate. Because takeoff and estimate stay connected, a change in one updates the other.
When a revised drawing is issued, Purple Hammer aligns it with the previous version, shows the changed scope, keeps existing measurements intact, and lets the user re-measure and re-price only what changed rather than starting the takeoff again. On a large tender with several revision cycles, that difference compounds into days of recovered estimating time.
<h3>Performance</h3>
The application is engineered for speed on real-world drawing sets:
<ul>
<li>A several-hundred-sheet PDF set opens in roughly a second</li>
<li>Automatic alignment and comparison of two revisions typically completes in one to two seconds</li>
<li>Pan and zoom run at 120 frames per second</li>
</ul>
Performance matters more here than it might in other software categories, because estimators work against bid deadlines and a tool that stalls on a large set simply gets abandoned.
<h2>Features</h2>
<ul>
<li>Markup and annotation</li>
<li>Calibrated measurement</li>
<li>Automatic drawing alignment</li>
<li>Overlays and blink comparison</li>
<li>Area and perimeter takeoff</li>
<li>Repeated-symbol counting</li>
<li>Drawing version history</li>
<li>Live estimating worksheets with formulas</li>
<li>Export of marked-up drawings and spreadsheet data</li>
</ul>
<h2>Who Uses It</h2>
General and main contractors, specialist subcontractors, estimators, quantity surveyors, design managers, commercial managers, consultants, project controls teams and construction claims professionals across the AEC industry.
<h2>Use Cases</h2>
<ul>
<li>Identifying scope movement between drawing revisions during tender</li>
<li>Routing design changes to the right reviewers and tracking them to closure</li>
<li>Producing measured takeoffs and priced estimates in a single application</li>
<li>Re-pricing only the changed scope when revisions land mid-tender</li>
<li>Substantiating variations and supporting final-account negotiation</li>
<li>Assembling evidence for claims and dispute resolution</li>
</ul>
<h2>The Two Products in One Line Each</h2>
ShapeDo helps project teams see, review and manage design changes collaboratively, and prove what changed later.
Purple Hammer is a fast construction PDF and spreadsheet tool for viewing, markup, measurement and comparison, with estimating built in, so users re-price only what changed when revisions land.

ShapeDo manages construction design change across drawing revisions; Purple Hammer is a desktop PDF app for markup, measurement, takeoff and live estimating.

Purple Hammer & ShapeDo | Drawing Change & Takeoff

Purple Hammer (shapeDo Ltd)

ShapeDo Ltd builds construction software: ShapeDo, a collaborative design change management platform that compares drawing revisions and routes reviews, and Purple Hammer, a fast desktop PDF and spreadsheet app for markup, measurement, comparison, takeoff and estimating.

<h2>About Gindi Studio</h2>
Gindi Studio is an architecture and interior design practice based in Tel Aviv, Israel. The studio is a collective of around 25 designers, architects and architectural engineers who describe themselves as wow makers - a reference to the Milton Glaser line the practice adopts as its standard: there are three responses to a piece of design, yes, no and wow, and wow is the one to aim for.
The studio is led by Vered Gindi, a registered architect who holds a bachelor's degree in philosophy from Tel Aviv University and a professional Master of Architecture from the University of Toronto. After extensive experience in Canada designing and delivering public buildings including schools and community centres, she returned to Israel and established the studio as a leading name in interior design for global and Israeli corporations.
<h2>Design Philosophy</h2>
Gindi Studio holds that intelligent design results from research, dialogue with clients and stakeholders, and genuine team effort rather than individual authorship. Its work aims to break down boundaries between different interior environments and create spaces people love working in.
Central to the approach is identifying the specific DNA and look and feel a client wants, then resolving it into a single coherent human experience of space. The studio places equal weight on practicality and user experience - a workplace must function efficiently and feel good to occupy, and the practice treats these as one problem rather than two.
<h2>Services and Specialisms</h2>
<ul>
<li>Architecture and interior design for complex projects</li>
<li>Corporate workplace and office campus interiors - the core of the practice</li>
<li>Public interiors - civic and shared environments</li>
<li>Hotels and hospitality interiors</li>
<li>Graphic and product design integrated with spatial work</li>
<li>Change management - supporting the organisational side of relocation alongside the design</li>
</ul>
<h2>Technology</h2>
The studio combines architecture, interior design, graphics and product design with advanced technology that ties the disciplines together. It works with parametric design, BIM and 3D virtual reality to develop concepts into buildable reality, and is regarded as a leader in Revit within the Israeli market.
VR matters particularly in workplace design, where a client organisation must commit to an environment its staff have not yet experienced. Letting decision-makers walk through a space before construction reduces the risk of expensive late change.
<h2>Change Management</h2>
An unusual strength is the studio's involvement in corporate relocation as an organisational process, not only an architectural one. Moving a company into a new environment changes how people work, and resistance is common. Gindi Studio supports the internal communication and programme-building side of that transition alongside the design itself.
<h2>Clients</h2>
The practice has designed workplaces for major global technology and professional services organisations with operations in Israel, including Google, Microsoft, Mobileye, Oracle, Sapiens, BMC, Deloitte, and the development centres of General Motors and Daimler, alongside banking clients such as HSBC, Citibank and Bank Hapoalim.
<h2>Market Position</h2>
Gindi Studio competes at the top of the Israeli corporate interiors market, where multinational technology companies expect international design standards delivered with local knowledge. Its combination of workplace specialism, technological capability and change management support is a genuine differentiator.
<h2>Why AEC Teams Should Know Gindi Studio</h2>
For designers and clients working on workplace interiors, office campuses or corporate relocation, Gindi Studio offers a useful model of technology-led interior practice in the built environment.

Gindi Studio is a Tel Aviv architecture and interior design practice specialising in corporate workplace, office campus, public interior and hotel projects.

Gindi Studio | Tel Aviv Workplace Interior Design

Gindi Studio

Gindi Studio is a Tel Aviv architecture and interior design practice of around 25 designers, specialising in corporate workplace interiors, office campuses, public interiors and hotels using BIM, parametric design and 3D VR.

ARES Kudo: The Cloud-Based CAD Solution Empowered by AI 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. 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. A3: The AI-Powered CAD Assistant 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. 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. 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. 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. A Cloud-Based Alternative to AutoCAD LT 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. 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. 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. Learn more about the powerful solution here: https://graebert.pxf.io/JKJgyv

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

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

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

Pirros

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:
<ul data-start="804" data-end="1586">
<li data-start="804" data-end="857">
Step-by-step reasoning with clear assumptions
</li>
<li data-start="858" data-end="927">
Direct citations to exact code sections for full traceability
</li>
<li data-start="928" data-end="1139">
Compliance Paths, mapping multiple valid routes to compliance (based on occupancy, construction type, sprinkler conditions, height/area limits, ratings, etc.) so teams can choose the best design approach
</li>
<li data-start="1140" data-end="1242">
Exception and cross-reference handling, including circular references across multiple chapters
</li>
<li data-start="1243" data-end="1343">
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

xFigura is an all-in-one, AI-powered ideation platform built for architects and designers working in both 2D and 3D. Think of it as a &ldquo;Figma for ideation&rdquo; &mdash; a collaborative, visual space where ideas can be generated, refined, and shared with ease using next-generation generative AI. From quick concept sketches to fully formed 3D massings, xFigura empowers designers to explore possibilities faster, communicate more clearly, and co-create in real-time. The platform integrates intuitive tools with the best AI models, allowing users to transform sketches, prompts, and references into high-quality visuals and simple 3D forms in seconds. Built with a design-first mindset, xFigura removes the traditional barriers of time, cost, and technical complexity. It&rsquo;s ideal for early-stage design, brainstorming, and team-based creativity &mdash; offering a shared canvas where architecture meets imagination. Key Features: - 2D + 3D AI Generation: Instantly create visuals or simplified 3D models from sketches, text prompts, or style references - Real-Time Collaboration: Co-create with teammates and clients on a shared canvas - Image-to-Render Pipeline: Turn rough sketches into high-quality architectural renders - Style Referencing: Match outputs to specific architectural styles or moods - Export Options: Download images, models, or full ideation boards for presentations and development - Model Training: Users can securely train their own dataset and keep full ownership of image outputs. - Flexible workflows: from upscaling, to inpainting, and model training, this packages the best text, image, upscaling, video and 3D tools in one place for architects and designers. At scale, xFigura will transform the AEC and design industries by streamlining ideation 3D workflows, enhancing collaboration, and reducing barriers to innovation. It democratizes access to AI-powered design, enabling a more sustainable, inclusive, and imaginative future for the built environment. Our vision is to build a global community of designers co-creating with AI. With xFigura, creativity is no longer limited by tools &mdash; only by imagination. Start designing at xfigura.ai.

Explore xFigura AI for 2D and 3D design ideation, concept generation, and collaborative architectural workflows. Review pricing, key features, Rhino integration, and whether xFigura is a good fit for 

xFigura AI Pricing, Features & 2D/3D Ideation Platform

xFigura

InspectMind AI helps engineers review hundreds of pages of drawings in minutes instead of hours.
InspectMind AI is an AI-powered plan review and code compliance platform built for the architecture, engineering, and construction (AEC) industry. The platform automatically analyzes construction drawings, engineering plans, and technical documents to identify code violations, design inconsistencies, and constructability issues before projects move into permitting or construction.
Traditional plan review and QA processes require engineers, architects, and reviewers to manually analyze hundreds or thousands of pages of drawings. This process is time-consuming, expensive, and prone to human error. InspectMind AI accelerates this process by using advanced artificial intelligence models trained on construction drawings, building codes, and engineering standards.
Users upload their project plans directly to InspectMind, and the AI system analyzes the drawings sheet-by-sheet. The platform detects issues such as missing details, dimension conflicts, structural inconsistencies, accessibility violations, and code compliance risks. InspectMind then generates a structured report highlighting the detected issues along with visual references to the affected drawings.
The platform is designed for engineers, architects, developers, contractors, plan reviewers, and government agencies who want to reduce risk and improve design quality. By catching issues early in the design process, InspectMind helps teams avoid expensive rework, delays during permitting, and construction change orders.
InspectMind AI supports a wide range of building codes and standards including IBC, ADA, NFPA, and local jurisdictional codes. The system can analyze architectural drawings, structural plans, engineering reports, and construction documentation.
Typical workflow:
<ol data-start="2968" data-end="3342">
<li data-section-id="qsu294" data-start="2968" data-end="3069">
Upload drawings Users upload their architectural or engineering plans directly into InspectMind.
</li>
<li data-section-id="15wns3j" data-start="3071" data-end="3213">
AI plan analysis The AI analyzes the full drawing set, identifies potential issues, and compares plans against applicable building codes.
</li>
<li data-section-id="tm56oz" data-start="3215" data-end="3342">
Review results Users receive a detailed issue report showing potential risks, code conflicts, and recommended corrections.
</li>
</ol>
InspectMind AI dramatically reduces manual review time, improves plan quality, and helps project teams move faster from design to construction.

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

<h2 class="PDq2pG_selectionAnchorContainer" data-section-id="13rhl3y" data-start="3142" data-end="3175">Champ Agents, powered by Wyatt</h2>
Champ Agents, powered by Wyatt, is Unanet's agentic AI platform designed to help architecture, engineering, and consulting firms turn their ERP and CRM data into actionable insights, recommendations, and automated workflows.
Rather than functioning only as a traditional chatbot, Champ Agents can work with business data across Unanet to help users analyze information, monitor conditions, identify risks, and take action.
<h3 data-section-id="13c37lm" data-start="3602" data-end="3639">AI built around AEC business data</h3>
Users can interact with Champ Agents using natural-language questions and requests. The platform can help project managers, finance teams, business development professionals, marketers, operations leaders, and executives access information more quickly without manually searching through reports or systems.
<h3 data-section-id="166ooyv" data-start="3950" data-end="3970">Key capabilities</h3>
<ul data-start="3972" data-end="4321">
<li style="font-family: helvetica, arial, sans-serif;" data-section-id="awd8da" data-start="3972" data-end="4024">Natural-language interaction with ERP and CRM data</li>
<li style="font-family: helvetica, arial, sans-serif;" data-section-id="bd5dtz" data-start="4025" data-end="4055">AI-powered business analysis</li>
<li style="font-family: helvetica, arial, sans-serif;" data-section-id="nfqavn" data-start="4056" data-end="4089">Proactive monitoring and alerts</li>
<li style="font-family: helvetica, arial, sans-serif;" data-section-id="i9wuck" data-start="4090" data-end="4111">Workflow automation</li>
<li style="font-family: helvetica, arial, sans-serif;" data-section-id="1yptkoa" data-start="4112" data-end="4144">Project and financial insights</li>
<li style="font-family: helvetica, arial, sans-serif;" data-section-id="11wnnmg" data-start="4145" data-end="4180">Pursuit and pipeline intelligence</li>
<li style="font-family: helvetica, arial, sans-serif;" data-section-id="488hqp" data-start="4181" data-end="4209">Client meeting preparation</li>
<li style="font-family: helvetica, arial, sans-serif;" data-section-id="w69osz" data-start="4210" data-end="4249">Relationship and account intelligence</li>
<li style="font-family: helvetica, arial, sans-serif;" data-section-id="wamqn5" data-start="4250" data-end="4271">Risk identification</li>
<li style="font-family: helvetica, arial, sans-serif;" data-section-id="c4vek6" data-start="4272" data-end="4321">Interactive AI-generated applications and views</li>
</ul>
<h3 data-section-id="19akd3h" data-start="4323" data-end="4362">Designed for trusted enterprise use</h3>
Champ Agents is built around governed business data, with permission-aware access, source attribution, and human oversight. This helps firms use AI while maintaining control over how organizational data is accessed and interpreted.
<h3 data-section-id="wgwuyd" data-start="4597" data-end="4615">Why it matters</h3>
For AEC firms, the value of AI is not simply generating text. It is helping teams understand their own business data faster and act on it more effectively.
Champ Agents can help firms reduce repetitive work, identify important changes earlier, prepare for client and project decisions, and make ERP and CRM information more accessible across the organization.
<div class="tk0j8o1 _1ibi0s31a _1ibi0s3en"><a id="base-ui-:rn9:" class="wdbi343 wdbi341 _1ibi0s3ec _1ibi0s376" tabindex="0" role="button" href="https://unaverse.atlassian.net/wiki/spaces/MKTG/pages/2728591474" target="_blank" rel="noopener noreferrer" aria-label="Citation 1" data-label="1" data-base-ui-click-trigger="" aria-haspopup="dialog" aria-expanded="false"></a></div>

Champ Agents, powered by Wyatt, is Unanet's agentic AI platform that works across Unanet ERP and CRM. It transforms trusted business data into intelligent…

<h2 class="PDq2pG_selectionAnchorContainer" data-section-id="naw1wb" data-start="1585" data-end="1602">Unanet AEC CRM</h2>
Unanet AEC CRM is a customer relationship management platform purpose-built for architecture, engineering, and consulting firms. It helps business development, marketing, and leadership teams manage client relationships, track opportunities, coordinate pursuits, and improve visibility into the firm's pipeline.
<h3 data-section-id="xg7kn2" data-start="1917" data-end="1953">Built for how AEC firms win work</h3>
Unlike traditional sales-focused CRM platforms, Unanet AEC CRM is designed around the relationship-driven nature of AEC business development. It connects client contacts, project history, pursuits, proposals, opportunities, and marketing activities so teams can better understand where relationships stand and where future work may come from.
<h3 data-section-id="166ooyv" data-start="2299" data-end="2319">Key capabilities</h3>
<ul data-start="2321" data-end="2647">
<li style="font-family: helvetica, arial, sans-serif;" data-section-id="1dmqafd" data-start="2321" data-end="2352">Client and contact management</li>
<li style="font-family: helvetica, arial, sans-serif;" data-section-id="1y972jd" data-start="2353" data-end="2387">Opportunity and pursuit tracking</li>
<li style="font-family: helvetica, arial, sans-serif;" data-section-id="1mwawh8" data-start="2388" data-end="2430">Business development pipeline management</li>
<li style="font-family: helvetica, arial, sans-serif;" data-section-id="i1s18k" data-start="2431" data-end="2468">Proposal and marketing coordination</li>
<li style="font-family: helvetica, arial, sans-serif;" data-section-id="1exbj2x" data-start="2469" data-end="2496">Relationship intelligence</li>
<li style="font-family: helvetica, arial, sans-serif;" data-section-id="1aln6rx" data-start="2497" data-end="2525">Project and client history</li>
<li style="font-family: helvetica, arial, sans-serif;" data-section-id="1ffpqpn" data-start="2526" data-end="2561">Activity and interaction tracking</li>
<li style="font-family: helvetica, arial, sans-serif;" data-section-id="xz8fei" data-start="2562" data-end="2588">Reporting and dashboards</li>
<li style="font-family: helvetica, arial, sans-serif;" data-section-id="lgtq9y" data-start="2589" data-end="2647">Collaboration across marketing, BD, and leadership teams</li>
</ul>
<h3 data-section-id="wgwuyd" data-start="2649" data-end="2667">Why it matters</h3>
AEC business development information is often spread across emails, spreadsheets, individual team members, and disconnected systems. Unanet AEC CRM centralizes that information, helping firms improve collaboration and make more strategic decisions about where to focus their time.
The platform can help firms strengthen client relationships, improve pursuit planning, coordinate proposals more efficiently, and increase visibility into future revenue opportunities.

Unanet AEC CRM is a customer relationship management platform built specifically for architecture, engineering, and consulting firms. It enables business…

Relationships  Features Understand and leverage your firm's relationships

The Context
Despite decades of investment in BIM, architectural documentation remains heavily manual. Teams continue to spend significant time on repetitive production tasks, manual QA/QC, and enforcing standards across drawings, views, and schedules.
At scale, this creates inefficiency, late-stage rework, and coordination risk, while contributing to burnout across documentation teams. Existing automation is often fragmented or difficult to apply consistently within live project models, limiting its effectiveness in everyday production work.
SketchPro is being actively deployed at top architecture firms to address this gap by embedding AI directly into architectural documentation workflows.
The Question
How can AI support architectural documentation&ndash; QA/QC, standards alignment, and repetitive production work&ndash; while keeping architects in control, preserving authorship, and respecting firm-specific standards and workflows?
The Approach
SketchPro is an AI documentation copilot embedded directly within Revit, designed to operate on live project models, views, schedules, and sheets. The system is developed around three core principles:
<ul>
<li dir="ltr" aria-level="1">
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.
</li>
<li dir="ltr" aria-level="1">
Architect-in-the-loop control All actions are previewed, reviewable, and reversible, ensuring professional judgment remains central to decision-making.
</li>
<li dir="ltr" aria-level="1">
Firm-specific intelligence Rather than applying generic rules, the system adapts to project standards, naming conventions, and documentation logic defined by each practice with an &ldquo;AI Knowledge Base&rdquo; set up by admins from each firm.
</li>
</ul>
The Collaboration Model
SketchPro is being deployed in collaboration with architecture firms working across a range of scales, typologies, and geographic locations, including educational, multifamily, and commercial projects. Ongoing collaboration ensures the platform addresses real documentation pain points such as QA/QC consistency, annotation cleanup, and standards alignment within live projects.
The Results
Across partner firms, teams report:
<ul>
<li dir="ltr" aria-level="1">
Standardized preferences across projects with AI
</li>
<li dir="ltr" aria-level="1">
30% reduction in documentation time across major tasks like sheet creation, dimensioning, schedules, and QA/QC
</li>
<li dir="ltr" aria-level="1">
20% more capacity to do more projects with their current team
</li>
</ul>
AI is experienced as a support system rather than a replacement. Junior staff report increased confidence and productivity, while senior staff retain full control over technical decisions.
Key Takeaways
Successful AI adoption in architecture depends less on automation alone and more on customization, transparency, and trust in the technology.
By embedding AI directly into documentation workflows and aligning it with the realities of architectural practice, SketchPro illustrates how AI can strengthen existing processes rather than disrupt them, supporting efficiency, quality, and professional judgment.

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

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

Mentor mode provides model-specific guidance

QAQC Audit using your firm's standards and checklists

SketchPro.ai

AHA (Auerbach Halevy Architects) is a leading Israeli architecture firm known for ambitious, large-scale residential and mixed-use developments. For the I.S. mixed-use complex, the team faced an extraordinary deadline: deliver a complete permit package for a 550,000 square foot project, five residential towers, a commercial podium, and five basement levels, in just one week. A project of this scale would normally demand weeks of coordinated documentation across a large team, with enormous pressure on both speed and accuracy. Any inconsistency across the towers or basement levels could jeopardize the permit submission. AHA partnered with SWAPP to make the timeline achievable. SWAPP's AI agents worked directly inside the firm's live Revit models, generating the repetitive documentation, views, sheets, tags, and schedules, across every tower and level to AHA's own standards, while the architects concentrated on coordination and the decisions that required judgment. Instead of manually rebuilding each drawing series for each tower, the team ran production as a controlled, rule-based process and reviewed the outputs. The result was a complete, consistent permit set delivered in a single week, at a scale and speed that would have been out of reach with a traditional manual workflow, and without sacrificing the quality or standards the firm and the authorities required.

AHA delivers a 550,000 sq ft mixed-use permit package in one week with SWAPP

SWAPP is operational intelligence for architecture. Instead of another chatbot bolted onto your workflow, SWAPP puts an agentic AI teammate, Frank, directly inside Revit and ArchiCAD, where it reads and writes your live model to do real production work: modeling, dimensions, tags, views, sheets, schedules, collision-solving, and QA.
What makes SWAPP different is that everything is grounded in your firm&rsquo;s own standards. SWAPP learns from your past projects, annotation habits, and QA rules, then enforces them on every new project. The result is complete construction document sets that look like your firm produced them, because, in effect, it did. Frank is the only AI Architect in the category that is not locked to a single authoring platform: it runs the same firm-tuned workflows in both Autodesk Revit and Graphisoft ArchiCAD.
The numbers are real. Firms use SWAPP to automate up to 80% of documentation tasks. Across a two-year span, SWAPP has delivered more than 35 million square feet of production-grade documents and saved over 104,000 production hours. Page designed a 270,000 sq ft student-housing project from concept to schematic design in three weeks with a 40% smaller team. AHA delivered a 550,000 sq ft permit package in a single week. MYS Architects reduced manual workload eightfold. HTA Design cut the team needed for Stage 4 documentation in half. SNHA, a Woolpert company, took work that used to take two weeks down to under 48 hours.
Every action Frank takes is traceable and reversible. Enterprise firms gate execution behind review steps, so automation earns trust over time rather than demanding it up front. SWAPP is ISO/IEC 27001:2022 certified and your data stays yours.
SWAPP now offers a low-commitment trial, so your team can select the capabilities you want and see Frank run on your own live projects before making a long-term commitment. It integrates with Revit, ArchiCAD, Autodesk Forma, Procore, Trimble, and the wider AECO ecosystem. Book a demo to see it on your work.

SWAPP.AI

The AI Co-Pilot for Construction Documentation

Swapp: The AI Co-Pilot for Construction Documentation

Featuring SWAP AI AI at the AEC Innovate Conference

Featuring Swapp at the AEC Innovate Conference

AI-Powered Automation for Smarter Architectural Workflows

Capacity Increase:
Gindi Studio, a renowned architectural design firm headquartered in Tel Aviv, specializes in
office space design and has catered to some of the largest corporations in Israel. Over the
years, the studio has witnessed a surge in demand for its services.

“We have a magic tool called qbiq. Using the platform, we are able to deliver preliminary plans at light-speed, increasing our capacity and allowing us to take on more projects than we could initially manage”
Vered Gindi, Founder

Gindi Studio: Capacity Increase

Qbiq is reshaping how commercial spaces are planned and visualized by leveraging advanced artificial intelligence. This innovative platform enables landlords, brokers, architects, and developers to generate test fits, floor plans, 3D walkthroughs, and material estimates in just minutes. By automating what typically takes weeks, Qbiq significantly reduces time to lease and design while increasing accuracy and scalability. Designed to work with common file formats like PDFs, CAD, and DWG, Qbiq allows users to upload floor plans, set programming requirements, and instantly receive multiple layout options. Each layout comes with full documentation&mdash;editable CAD files, BIM-ready Revit models, and rendered 3D tours&mdash;making the platform a powerful tool from concept to delivery. One of Qbiq&rsquo;s biggest advantages is its ability to support layout customization based on user-defined rules, including department sizes, adjacency preferences, and branding standards. The AI also provides quantity takeoffs, such as furniture counts and material data, helping teams better understand cost implications from the start. By streamlining both visualization and documentation, Qbiq empowers real estate professionals to move from plan to action faster and with greater confidence. The company has already made a global impact. With over 650 million square feet of AI-generated designs and clients in more than 60 countries, Qbiq has proven its value across markets. Real estate firms using Qbiq report 40% faster leasing cycles and significantly higher efficiency. For example, Colliers Japan reduced its turnaround time for test fits to under 24 hours, dramatically improving client service and deal velocity. Qbiq integrates seamlessly into existing workflows and exports fully editable plans, enabling architects and designers to build on AI-generated layouts rather than start from scratch. It also features enterprise tools like admin dashboards, user management, and custom planning engines tailored to specific corporate or project requirements. Backed by top-tier investors including Insight Partners and JLL Spark, Qbiq recently closed a $16 million Series A funding round, following a $10 million seed round in 2023. The platform is rapidly gaining traction among leading architecture firms, design studios, and property management companies looking to scale operations, improve client engagement, and accelerate space planning. Qbiq&rsquo;s combination of AI automation, customizable design logic, and real-time visualization offers a transformative approach to commercial space planning. Whether used for office fit-outs, coworking layouts, or landlord test fits, the platform delivers fast, data-driven results that align with real-world needs. Its ability to combine speed, accuracy, and design flexibility makes it a standout solution for the modern built environment. As the architecture and real estate industries continue to embrace digital transformation, Qbiq is positioned as a leader in AI-powered design technology. By reducing friction in the planning process and enabling better decision-making, it is helping reshape how commercial spaces are imagined and delivered.

qbiq

Featuring qbiq AI at the AEC Innovate Conference

qbiq’s Custom AI Transforms Design for AEC Professionals

Featuring Qbiq at the AEC Innovate Conference

Generative AI & Real Estate Innovation (Webinar)

Congratulatory post for the $16M Series A funding round

13% Annual Revenue Increase: 
ROOMS by Fattal, a leading co-working chain, was looking to optimize their property's
potential to boost profitability. By utilizing qbiq, they were able to generate several layout
options for the floor, providing valuable insights into the space's efficiency and utilization,
ultimately maximizing revenue. 

“Though we had already constructed three floors in the building, qbiq identified 21 extra workstations that could be added
from our original construction plans” - Nadav Fattal, CEO

ROOMS Co-Work: 13% Annual Revenue Increase

<h2>About Avison Young</h2>
Avison Young is a global commercial real estate services firm headquartered in Toronto, Canada. Founded in 1978, the company operates from more than 100 offices across some 20 countries and employs approximately 5,000 real estate professionals. It positions itself as a global real estate advisor invested in client success rather than as a transaction broker alone.
<h2>The Principal-Led Model</h2>
Avison Young's defining characteristic is its ownership structure. The firm is principal-led and majority owned by its Principals, a partnership arrangement that management retains deliberately.
This is more consequential than it first appears. In a brokerage business where individual producers are typically rewarded on personal commission, ownership by practising Principals changes the incentives - it rewards internal collaboration and referral between teams rather than the territorial behaviour that commission-only models tend to produce. The firm argues this aligns its advice with client objectives instead of with any individual's transaction pipeline.
<h2>Integrated Service Approach</h2>
The company deliberately eliminates service-line silos, organising capabilities around client requirements rather than internal business units. For an owner who needs valuation, leasing and property management on the same asset, that means one coordinated team rather than three separate engagements with competing internal interests.
<h2>Services</h2>
<ul>
<li>Leasing - tenant and landlord representation across all asset classes</li>
<li>Investment sales - acquisition and disposition of commercial property</li>
<li>Property and facilities management - day-to-day operation of owned assets</li>
<li>Valuation and advisory - appraisal, due diligence and portfolio analysis</li>
<li>Debt and equity financing - capital markets and structured finance</li>
<li>Occupier solutions - workplace strategy, portfolio planning and location advice</li>
<li>Advisory and planning - development consulting and asset strategy</li>
</ul>
<h2>Sectors Served</h2>
<ul>
<li>Office - central business district and suburban workplace</li>
<li>Retail - shopping centres, high street and mixed-use retail</li>
<li>Industrial - logistics, distribution and manufacturing property</li>
<li>Multi-family - rental residential portfolios</li>
<li>Hospitality - hotels and leisure assets</li>
</ul>
<h2>Occupier Solutions</h2>
The occupier side of the business advises organisations on how much space they need, where it should be and how it should perform. This has become considerably more complex since hybrid working reshaped office demand, and portfolio decisions now turn on utilisation data as much as on rent.
<h2>Financial Position</h2>
In 2024 the company completed a recapitalisation transaction with new capital investment, significantly strengthening its financial position while preserving the principal-led culture, with Principals and management retaining a significant majority ownership stake.
<h2>Market Position</h2>
Avison Young competes with the largest global commercial real estate services firms, differentiating on its partnership ownership model and integrated, non-siloed delivery. Its clients include institutional investors, corporate occupiers, developers, lenders and public sector bodies.
<h2>Why AEC Teams Should Know Avison Young</h2>
For developers, architects and consultants, commercial real estate advisors shape the economics that determine what actually gets built - what a market will lease, what an investor will fund and how an asset will be managed once complete. Avison Young is a useful reference point for that commercial layer of the built environment.

Avison Young is a principal-led global commercial real estate firm offering leasing, investment sales, property management, valuation and occupier advisory serv

Avison Young | Global Commercial Real Estate

Avison-Young

Avison Young is a principal-led global commercial real estate advisory firm offering leasing, investment sales, property and facilities management, valuation, financing and occupier advisory services across office, retail, industrial, multi-family and hospitality assets.

Winning a Major Client in 24 hours: 
Guy Amosi, CEO of Avison-Young Israel, was in a tight spot. Competing against other brokerages to win a large transportation company as a client, he needed a standout strategy.
The challenge escalated when the client was unimpressed with their initial space offering...

Avison-Young: Winning a Major Client in 24 hours

Israel

Skyline Cockpit leverages advanced robotics and automation technologies for crane remote operation. BOOST CRANE OPERATION TIME BY 23% Skyline cockpit eliminates the need to climb up and down the crane, enabling operators to work safely from a comfortable command centre even in challenging weather conditions and reduced visibility. INCREASE CRANE PRODUCTIVITY BY 8% With a 360-degree panoramic site view, a clear viewpoint of the load line and hook, crane and weather indicators, and optimized multi-crane management, operators can achieve an 8% increase in crane operation productivity. Skyline Cockpit Technology - Multi-Angle Camera System - Using multi cameras placed on the tower crane, we display a panoramic view capturing every essential angle, including perspectives from the trolley winch, lift winch, and the cabin and a clear view of the hook and load line. - Cutting-Edge Software Fusion & AR - Our sophisticated software process interweave these visuals to presents a unified, intuitive display, enabling the crane operator to oversee diverse operational elements concurrently. On top of that, we offer an AR layer that anticipates the exact landing spot in real time. - Enhancing Remote Indicators - Our proprietary algorithms and patented applications empower operators with real-time alerts and critical data, including safety warnings, based on weather and wind data during lifting tasks.

Skyline Cockpit

Genda automates construction workflow management by generating and analyzing real-time project data. We generate valuable field data, integrate to the relevant data sources, and provide game-changing insights to construction managers. Construction managers can receive real-time, location-based notifications on punch lists, inspection logs, suggestions, hazards and unscheduled work. Genda automates daily reports and integrates project information with time spent for reliable production rates. Real-time location-based alerts notify workers of on-site safety hazards.

Result for “Israel”

Tools "2 results"