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

ArchOne AI

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

<div>
<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>
</div>
<div>
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.
</div>
<div>
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
</figcaption>
</figure>
</div>
<div>
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>.
<hr>
<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.
</div>
<div>&nbsp;</div>
<div style="all: initial !important;">&nbsp;</div>
<div style="all: initial !important;">&nbsp;</div>
<div style="all: initial !important;">&nbsp;</div>
<div style="all: initial !important;">&nbsp;</div>
<div style="all: initial !important;">&nbsp;</div>

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>
<div>&nbsp;</div>
<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>
<div>&nbsp;</div>
<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>
<div>
<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>
</figure>
</div>
<div>&nbsp;</div>
<div>
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>
<div>
<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>
</div>
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>
</figure>
</div>
<div>&nbsp;</div>
<div>
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>.
<hr>
&nbsp;
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>About Conjoin</h2>
Conjoin is a ConTech bureau that connects the construction industry with emerging technologies, and vice versa, to drive digital transformation in the industry towards 4.0. The company describes itself as a ConTech solution implementation bureau that joins the construction industry with emerging tech.
Conjoin assists construction businesses and software products in achieving innovative leadership and market fit - working in both directions, helping contractors adopt technology and helping technology vendors understand the industry they are selling into.
<h2>AR as Part of Business Development</h2>
Conjoin helps general contractors make augmented reality part of business development by constructing a successful use case. The engagement runs in three stages.
<h3>1. Choose</h3>
<ul>
<li>Joint overview of the AR for Construction big picture</li>
<li>Identifying the best hardware and software AR solution</li>
</ul>
<h3>2. Adapt</h3>
<ul>
<li>Development of custom-tailored workflows and processes</li>
<li>Measuring and demonstrating KPIs</li>
</ul>
<h3>3. Scale</h3>
<ul>
<li>Development of technical documents on utilising AR</li>
<li>Training sessions for office and field teams</li>
</ul>
The sequencing matters: most failed technology pilots in construction stall between step one and step two, because a tool is selected before anyone has redesigned the workflow it is supposed to sit inside.
<h2>Developing AR Solutions for the Industry</h2>
For software vendors building products aimed at construction, Conjoin works from the other side.
<h3>4. Get Insights</h3>
Construction industry insights to understand market needs and plan a product to fit best.
<h3>5. Incorporate</h3>
<ul>
<li>Bringing construction knowledge into the product design process</li>
<li>Increasing cross-department collaboration through shared knowledge</li>
</ul>
<h3>6. Deploy</h3>
<ul>
<li>Proactive user support to maximise product value</li>
<li>A consistent product end-user feedback circle</li>
</ul>
<h2>Augmented Reality for Construction</h2>
Conjoin covers the full palette of augmented reality solutions applicable to construction, helping clients choose and integrate the most suitable option for their business. Applications span model overlay on site, quality assurance and verification against design, field coordination and training.
<h2>Approach</h2>
The team describes itself as T-shaped experts, combining engineering expertise, an entrepreneurial mindset and product development capability. The stated aim is a tailored approach for each customer that makes digital innovations work to achieve real results, improving efficiency and the soonest return on investment.
<h3>Manifesto</h3>
<ul>
<li>Not selling products - providing an expert overview of innovation for construction</li>
<li>Not a remote VDC department - developing custom-tailored workflows and processes</li>
<li>Not innovation for a small fraction of a group - implementing solutions into daily routines</li>
</ul>
That third point identifies the common failure mode directly: technology that lives with a small innovation team and never reaches the people doing the work produces no measurable return.
<h2>Partners</h2>
Conjoin collaborates with technology providers across the AR and BIM space, including GAMMA AR, BIM HV, Concept 1 and Griffel Studio.
<h2>Team</h2>
The company was founded by Anton Kaplun, Co-Founder and CTO covering marketing and communications, and Viktoria Blokhina, Co-Founder and COO responsible for business growth and operations.
<h2>Who Conjoin Works With</h2>
<ul>
<li>General contractors evaluating or scaling AR and emerging technology</li>
<li>Construction software vendors seeking product-market fit</li>
<li>VDC and innovation teams needing workflow design rather than tool supply</li>
<li>Field and office teams requiring training and adoption support</li>
</ul>
<h2>Market Position</h2>
Conjoin occupies a narrow but useful niche: independent of any single vendor, but deep enough in both construction operations and product development to translate between them. For firms that have bought technology and failed to embed it, that translation layer is often the missing piece.

Conjoin is a ConTech bureau helping contractors adopt augmented reality and helping construction software vendors achieve product-market fit.

Conjoin | ConTech & AR Implementation for Construction

Conjoin

Conjoin is a ConTech solution implementation bureau connecting the construction industry with emerging technologies, specialising in augmented reality adoption, custom digital workflows and product-market fit consulting for construction software vendors and general contractors.

ArchiBoost AI is an AI-powered co-pilot built specifically for the Architecture, Engineering, and Construction (AEC) industry. Developed by architects and engineers rather than generic AI developers, the platform helps project teams navigate complex building regulations, activate institutional knowledge, and automatically review project documentation to identify coordination risks and compliance issues before they become costly problems.
ArchiBoost AI supports architects, engineers, developers, and general contractors working across the full project lifecycle&mdash;from early design through construction documentation and project delivery.
The platform combines three core capabilities into a unified intelligence system: Code Compliance, Knowledge Hub, and AI-powered QA/QC review.
1. Code Compliance &mdash; Project-Aware Regulatory Intelligence
ArchiBoost provides project-specific code compliance guidance, not just code search.
The system evaluates project conditions&mdash;including occupancy classification, construction type, fire separation distance, and jurisdiction&mdash;to determine the exact requirements that apply to a project. It automatically resolves the hierarchy between international, state, and municipal codes, ensuring that teams see the governing regulations rather than conflicting sources.
Each response includes clear explanations and direct citations to the applicable code sections, helping teams confidently apply requirements during design, documentation, and plan review.
By identifying compliance paths early, ArchiBoost helps teams avoid costly redesigns, permit delays, and late-stage documentation changes.
2.1. Knowledge Hub &mdash; Institutional Intelligence for AEC Firms
Architecture firms often possess vast amounts of knowledge scattered across project folders, standards manuals, specifications, and internal documentation. ArchiBoost transforms this information into a structured and searchable intelligence layer.
The Knowledge Hub organizes two key knowledge domains:
Firm Intelligence &ndash; reusable internal standards such as BIM execution plans, QA/QC checklists, documentation standards, master specifications, and lessons learned from previous projects.
Project Intelligence &ndash; project-specific information such as owner standards, design guidelines, specifications, schedules, meeting minutes, and consultant documentation.
This structure allows teams to quickly access relevant information without manually searching through large document repositories.
2.2 Detail Library &mdash; A Living Library of Proven Solutions
Within the Knowledge Hub, ArchiBoost includes a Detail Library that transforms past project details into a living, searchable resource.
The platform extracts metadata from drawing sets and organizes details based on parameters such as: - project type - construction type - occupancy classification - applicable codes - jurisdiction - client standards
Teams can quickly locate vetted details from previous projects and reuse them with confidence. The system integrates directly with Revit, allowing teams to insert editable details into their models without interrupting their design workflow.
This helps firms standardize documentation, preserve institutional knowledge, and reduce time spent recreating common solutions.
3. AI-Powered QA/QC Review
ArchiBoost automatically analyzes complete drawing sets&mdash;including architectural and consultant documentation&mdash;to identify coordination gaps, inconsistencies, scope omissions, and potential compliance risks.
Issues are surfaced through a structured ticketing system that links directly to the relevant sheet location. Teams can review findings, assign ownership, track resolution, and export issue reports for consultant coordination.
By identifying problems earlier in the documentation process, ArchiBoost helps reduce RFIs, change orders, and costly rework during construction.
Who Uses ArchiBoost AI
ArchiBoost AI is designed for: - Architecture firms working across multiple jurisdictions - Design teams producing large, multi-disciplinary drawing sets - Developers seeking early compliance validation - General contractors reviewing documentation prior to construction - Firms looking to activate and scale institutional knowledge across projects and offices
Platform Overview
ArchiBoost AI is delivered as a cloud-based SaaS platform that integrates with existing AEC workflows and documentation processes.
By combining regulatory intelligence, institutional knowledge, and automated QA/QC review in one platform, ArchiBoost enables teams to identify risks earlier, make better design decisions, and deliver higher-quality projects with fewer surprises.

ArchiBoost AI

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. -Best balance between speed and quality -Seamless integration with your favorite design workflow -User-friendly for designers, architects, visualizers, and archviz animation professionals alike -Free access and a cost-effective teams subscription option 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. 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. 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. 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. 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. Check out our latest article: https://www.aecplustech.com/blog/rendering-redefined-d5-real-time-revolution-architects-design-firms

Featuring D5 Render at the AEC Innovate Conference

Rendering Redefined: D5’s Real-Time Revolution

Tools Leading the Way in the AEC+Tech Community

Why Every Designer Needs Collaborative Rendering (Webinar)

Why Every Designer Needs Collaborative Rendering

Melt Takeoff is built for estimators who need takeoffs that are not just fast, but truly bid-ready and reliable. Unlike fully automated takeoff software that only measures what&rsquo;s drawn, Melt Takeoff is designed around a simple truth: winning bids requires accounting for what&rsquo;s missing from plans &mdash; the scope gaps, incomplete details, coordination conflicts, and implied work that experienced estimators catch through judgment.
Melt Takeoff combines AI vision with expert estimator validation to deliver takeoffs with both speed and accuracy. The workflow is simple: upload plans, the AI measures and identifies scope, flags drawing/spec conflicts, adds allowances, and then senior estimators validate everything before delivery. This hybrid model is what makes Melt Takeoff dependable &mdash; AI accelerates measurement, but real estimators ensure completeness and constructability.
Key capabilities include:
<ul data-start="923" data-end="1834">
<li data-start="923" data-end="1042">
AI Vision measurement detecting 800+ building elements with counts, lengths, perimeters, areas, and volumes
</li>
<li data-start="1043" data-end="1129">
Automated scope recognition across architectural, structural, and MEP drawings
</li>
<li data-start="1130" data-end="1256">
Detailed allowances for scope not shown, added as itemized ROMs based on code requirements and real project benchmarks
</li>
<li data-start="1257" data-end="1351">
Drawing&ndash;spec conflict detection, with estimator-led resolution before it hits your bid
</li>
<li data-start="1352" data-end="1528">
Estimator-verified outputs, reviewed by onshore senior estimators with 20+ years of field experience, including delivery of multi-million to billion-dollar projects
</li>
<li data-start="1529" data-end="1691">
Flexible classification standards, supporting MasterFormat&reg;, UniFormat&reg;, or custom structures, so takeoffs drop directly into your estimating workflow
</li>
<li data-start="1692" data-end="1834">
Interactive takeoff output, with side-by-side plan review, traceable quantities, and clean Excel exports ready for pricing and bidding
</li>
</ul>
Melt Takeoff is designed for speed without sacrificing trust. Quantities aren&rsquo;t just dumped into a spreadsheet &mdash; they&rsquo;re delivered in a structured, reviewable format so teams can validate quickly, collaborate internally, and confidently move into bid submission. The output stays fully in your control: review, adjust, and export clean files without messy reformatting.
Melt Takeoff delivers a takeoff process that is 40% more accurate, 20% faster, and 10% cheaper, with turnaround times ranging from 2&ndash;3 days for small projects to 7&ndash;8 days for extra-large projects. The result is fewer missed scope items, stronger bid coverage, reduced risk of underbidding, and significantly more confidence in your numbers &mdash; so estimators can bid faster and win more work.

Melt Takeoff

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

CRDR BIM

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

Model view IFC and Revit - Solibri CheckPoint

Solibri CheckPoint

Checking Revit models in the cloud with Solibri

Featuring Solibri at the AEC Innovate Conference

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

Acquisition of Xinaps and the rebranding of Verifi3D as Solibri Checkpoint

Solibri CheckPoint & the Future of AEC Model-Checking 

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

MeltPlan

MeltBid by MeltPlan is an AI bid leveling software built for general contractors in preconstruction. The traditional bid leveling process takes estimators hours of manual work &mdash; pulling numbers from PDFs, building spreadsheets by hand, hunting for buried exclusions, and hoping nothing slips through before you award. MeltBid compresses all of that into minutes.
The workflow is straightforward: upload your subcontractor proposals and MeltBid automatically structures them into a leveled comparison inside your own Excel template or a provided one. It works both in the browser and natively inside Excel via MeltPlan's Microsoft marketplace add-in, so estimators don't have to change how they work.
The value, though, goes well beyond speed. MeltBid surfaces five core capabilities:
Bid leveling in minutes. Upload multiple proposals &mdash; PDFs from each sub &mdash; and get a fully populated line-by-line comparison in your template in under 5 minutes. Bring your own format or start from MeltBid's.
Scope gap detection. Automatically identifies line items that one sub priced and others excluded or missed entirely. These gaps are the silent killers in preconstruction &mdash; they show up as change orders in the field, well after you've already awarded the contract.
Exclusions and qualifications flagging. Highlights non-obvious exclusions and qualifications buried deep in bid packages &mdash; things like "fire alarm devices excluded," "roof penetrations not included," or "price valid 30 days only, subject to material escalation." The cheapest number on paper becomes the most expensive one post-award when these get missed.
Full traceability. Every number in the leveled output links directly back to the source line in the original proposal. No black box &mdash; estimators can click any cell and see exactly which clause in which sub's PDF drove that value, with a "Mark as Reviewed" workflow to systematically work through the output.
Natural-language AI Q&amp;A. Ask plain-English questions directly against your leveled bids: "Who is the lowest bidder and by how much?" "What did Summit exclude?" "Where's the biggest spread across bidders on mechanical?" MeltBid answers in context, scoped to the exact run you're reviewing.
It's built for the way estimators actually work &mdash; in the browser or right inside Excel &mdash; and is aimed squarely at GCs who are tired of the bid leveling process eating their preconstruction capacity.

Melt Bid

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

Ideate StyleManager

Finding the perfect office:
Mavenir’s Global Facility Manager had to find just the right office space for
the global technology software corporation in Bucharest, Romania - quickly. With time
ticking away, he needed to find the perfect office space to set up Mavenir’s operations. 

“We are now building qbiq’s AI generated architectural plans.
This platform is a true gamechanger. I have saved a huge
amount of time and leg work” - Yehuda Adar, Mavenir

Mavenir: Finding the perfect office

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

Result for “Romania”

Case Studies "1 result"

Mavenir: Finding the perfect office