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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>
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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">
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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>
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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>
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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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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 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>
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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>
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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>

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<h2>About COBOD</h2>
COBOD International is a Danish construction technology company and the world leader in 3D construction printing systems. The name stands for Construction Of Buildings On Demand, and the stated mission is to build smarter through multifunctional construction robots based on 3D printing technology.
The company's framing of the problem is direct: construction is the world's largest industry and one of the least automated. COBOD builds the software-enabled printers intended to change that. Importantly, COBOD is a technology company rather than a builder. It sells and supports the machines; its customers do the building.
<h2>History</h2>
COBOD was founded in 2015 by Henrik Lund-Nielsen, who remains chief executive. Between 2015 and 2017 the company's engineering research produced Europe's first 3D-printed building, demonstrating the technology worked on a real site rather than in a laboratory.
Commercialisation followed, with the first printer sold in 2019 and demand accelerating from there. PERI, the world's largest formwork manufacturer, joined as a strategic investor, and COBOD opened offices in the United States and Malaysia. Between 2022 and 2025 GE, CEMEX and Holcim came on board as both investors and customers, the BOD3 and BOD XL launched, and operations expanded past 35 countries.
<h2>Technology</h2>
<h3>Printers</h3>
COBOD offers three systems: the BOD2, BOD3 and BOD XL, sized for different project types from single custom builds through to high-volume serial housing and industrial-scale structures. Every printer is designed, engineered and assembled at COBOD's own facility with no outsourcing, drawing on more than a decade of construction 3D printing experience.
<h3>Materials</h3>
A defining commercial decision is the material strategy. COBOD printers run on standard concrete sourced locally, with no proprietary mixes and no supply chain lock-in. Customers use what is already available in their market, which removes a significant barrier that has slowed adoption of competing systems.
<h3>Software</h3>
Three tools take a building from CAD file to printed structure: COBOD Slice, Configurator and Nozzle Builder, with artificial intelligence built into the workflow. The software layer is what turns the hardware into a usable production system rather than an experimental machine.
<h3>Service and Support</h3>
COBOD provides installation, training, remote diagnostics and COBOD Care support packages, with local teams across its 35 markets handling deployment and ongoing support.
<h2>Scale and Results</h2>
More than 90 COBOD systems are operating on active construction sites across six continents, working on everything from single-family homes to multi-storey and industrial-scale projects. The company reports that customers build up to 50 per cent faster at 30 per cent lower cost, and cites a customer project backlog exceeding 300 million US dollars.
<h2>Ownership and Investors</h2>
COBOD's shareholder base is unusual for a construction technology start-up because its investors are also its customers and route to market:
<ul>
<li>General Electric (USA) &ndash; a 79 billion dollar industrial and energy technology group investing in construction automation for scalable infrastructure delivery.</li>
<li>CEMEX (Mexico) &ndash; a 15 billion dollar building materials group operating in more than 50 countries, advancing faster and lower-cost concrete construction.</li>
<li>Holcim (Switzerland) &ndash; the world's largest building solutions company, with revenue above 16 billion dollars, integrating COBOD technology into industrialised construction.</li>
<li>PERI (Germany) &ndash; a formwork and scaffolding specialist with revenue above 2 billion dollars active in more than 65 countries, providing deployment infrastructure for large printed projects.</li>
</ul>
<h2>Team and Locations</h2>
COBOD employs a team of more than 50 engineers, technicians and specialists across Copenhagen, Miami and Kuala Lumpur. The executive team includes founder and chief executive Henrik Lund-Nielsen, previously group chief executive at Faber within the VELUX Group; co-founder and chief technology officer Simon Klint Bergh, a DTU-trained engineer with over fifteen years in additive manufacturing; co-founder and chief commercial officer Philip Lund-Nielsen, formerly of McKinsey; chief financial officer Jens Berthol Hansen, who spent 27 years at Maersk; and chief information officer Michael Holm, responsible for the hardware and software stack.
<h2>Why COBOD Matters to the AEC Industry</h2>
COBOD is the clearest test case for whether 3D printing becomes a mainstream construction method rather than a demonstration technology. Three things make it worth watching: the machines run on ordinary local concrete, which removes the materials constraint; the world's largest cement, concrete and formwork companies have put capital behind it, which signals the incumbents expect it to matter; and with 90-plus systems on live sites there is now enough real production data to judge the productivity claims. For contractors and developers assessing automation, COBOD is the reference point.

COBOD is the world leader in 3D construction printing, with 90+ BOD printers running in 35 countries and investors including GE, CEMEX and Holcim.

COBOD | 3D Construction Printing Technology & Printers

COBOD

COBOD International is a Danish construction technology company and world leader in 3D construction printing. Founded in 2015 in Copenhagen, it designs and builds the BOD2, BOD3 and BOD XL construction printers, with over 90 systems operating across 35 countries and investors including GE, CEMEX, Holcim and PERI.

<h2>About BIG | Bjarke Ingels Group</h2>
BIG, or Bjarke Ingels Group, is an architecture, design and planning practice founded by Bjarke Ingels, who remains Founder and Creative Director. Over roughly two decades the studio has grown from a single founder into an organisation of around 700 people, with its head office in Nordhavn, Copenhagen and additional studios in New York, London, Barcelona, Shanghai, Los Angeles, Zurich and Riyadh.
The practice frames its purpose around complexity. Its own argument is that architects are no longer judged against a single aesthetic standard but against the United Nations' seventeen Sustainable Development Goals, a set of criteria with almost infinite variables. Because sustainability is a question of complex systems and circular design, BIG holds that no individual can hold the answer, and that architects must team with scientists, engineers with biologists, and politicians with entrepreneurs.
<h2>The BIG LEAP: Five Integrated Disciplines</h2>
BIG describes its structure as the BIG LEAP, an acronym for the disciplines it has brought in house:
<ul>
<li>Landscape &ndash; public realm, parks, gardens and terraces, with an emphasis on nature-based solutions, biodiversity and biophilia.</li>
<li>Engineering &ndash; technical capability integrated alongside design rather than procured separately.</li>
<li>Architecture &ndash; the core practice across cultural, civic, residential, workplace, education, hospitality, health, retail, sports and infrastructure buildings.</li>
<li>Planning &ndash; campus, city and regional scale strategy, engaging communities, institutions and governments before a building is designed.</li>
<li>Products &ndash; furniture, lighting, mobility, consumer products and installations.</li>
</ul>
A sixth strand, BIG Vision, works with clients at the idea stage, using analysis, experimentation and iterative design to define ambitions and test limits before a project takes shape.
<h2>Design Philosophy</h2>
BIG positions itself between two conventional extremes: architecture that is expressive but impractical, and architecture that is rational but uninspiring. The studio calls the overlap pragmatic utopianism, using the cultural, economic and infrastructural forces already flowing through society as the generator of the design rather than as constraints on it.
Related to this is the idea of hedonistic sustainability: the argument that a sustainable city should also be a more enjoyable one. CopenHill, a waste-to-energy plant in Copenhagen, is the clearest demonstration, with a climbable facade, a hikeable roof and a skiable slope layered onto working industrial infrastructure.
<h2>Notable Projects</h2>
<h3>Cultural and Civic</h3>
The Twist at Kistefos sculpture park in Norway operates simultaneously as museum, bridge and inhabitable sculpture. The Panda House at Copenhagen Zoo is organised as a yin and yang plan accessible from all sides. Noma in Copenhagen was reassembled as a cluster of connected buildings around a central kitchen.
<h3>Workplace and Commercial</h3>
Google Bay View, developed with Gradient Canopy, uses dragonscale solar canopies, geothermal energy piles and rootzone gardens that filter building water; the campus achieved LEED-NC v4 Platinum and Living Building Challenge Water Petal certification. The Spiral in New York rises 1,005 feet with a continuous green pathway winding past workspaces on every level. Galeries Lafayette on the Champs-Elysees reworked a 1932 Art Deco bank into a retail space organised around a glass cupola.
<h3>Residential, Sport and Health</h3>
VIA 57 West in Manhattan fuses the courtyard and the skyscraper into what BIG calls a courtscraper. The Athletics ballpark on the Las Vegas Strip seats 33,000 under five overlapping shells shaped like baseball pennants. Elsinore Psychiatric Hospital replaces clinical finishes with natural wood, glass and colour.
<h3>Planning and Frontier Work</h3>
At city and regional scale, BIG has designed Toyota Woven City, a 170-acre living laboratory for mobility at the foot of Mount Fuji, and BiodiverCity, a vision for the Penang region built around waterways, rail and personal mobility. Oceanix City, developed with UN-Habitat, proposes a floating community for 10,000 residents anchored in the Sustainable Development Goals. The NASA Olympus habitats explore robotic construction using only in-situ resources with zero waste.
<h2>Products and Collaborations</h2>
BIG's product work spans lighting with Artemide, Louis Poulsen and Fritz Hansen, furniture including the Brick sofa for Jot.Jot and the VIA chair, the HAV porcelain collection for Royal Copenhagen, the DUO smart lock, reusable TURN cups, hyperloop pods designed with Virgin Hyperloop One, and bicycles with Biomega.
<h2>Why BIG Matters to the AEC Industry</h2>
BIG is one of the clearest contemporary examples of a design practice absorbing adjacent disciplines rather than coordinating them externally. Bringing landscape, engineering, planning and product design under one roof changes how early design decisions are made, and the studio's project record shows the result: infrastructure that doubles as public amenity, workplaces designed around measured environmental performance, and masterplans developed as testbeds for mobility and energy systems. For architects and developers, BIG offers a well-documented body of work on how sustainability ambitions can be expressed as form rather than added as compliance.

BIG | Bjarke Ingels Group: architecture, landscape, engineering, planning and product design behind CopenHill, The Spiral and Google Bay View.

BIG | Bjarke Ingels Group Architecture & Design Practice

BIG | Bjarke Ingels Group

BIG | Bjarke Ingels Group is a Copenhagen-founded architecture practice of around 700 people spanning landscape, engineering, architecture, planning and products. Known for its pragmatic utopian approach, BIG delivers cultural, residential, workplace, infrastructure and masterplanning projects from eight offices across Europe, North America, Asia and the Middle East.

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.

InspectMind AI

Catch construction mistakes before they get built

AI-Powered Site Documentation: An InspectMIND Case Study

Featuring InspectMind AI at the AEC Innovate Conference

Featuring InspectMIND at the AEC Innovate Conference

Tools Leading the Way in the AEC+Tech Community

Using AI to Automate Building Inspections

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

Solibri Office

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

Building Better with BIM QA: 2025 Interview with Solibri

Checking Revit Models in the Cloud with Solibri

Featuring Solibri at the AEC Innovate Conference

ARES Touch is a full-featured mobile CAD app that provides a complete set of 2D drafting and annotation commands. It's the perfect companion to quickly review a drawing shared in the cloud or received by email while on the go.

Team members at the jobsite can collaborate efficiently with colleagues back at the office

ARES Touch helps users work more effectively while on the jobsite or  in the field

ARES Touch works on Android and iOS tablets and smartphones

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

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

DWG Editing on Mobile: ARES Touch Makes it Quick & Easy!

ARES Touch: Mobile CAD for Android and iOS to View, Create and Annotate DWG

ARES Touch

Work productively on mobile devices with tools tailored to smaller screens

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

Kestrel Labs

Ichi is an AI-powered code compliance and automation platform built for architecture firms.
The platform helps architects navigate complex building codes, automate time-consuming construction administration tasks, and strengthen QA/QC across the entire project lifecycle&mdash;from early design through construction.
Designed specifically for the realities of architectural practice, Ichi augments professional expertise by automating previously manual processes, improving accuracy, and minimizing costly downstream rework. The platform supports both project-level execution and firm-wide knowledge sharing, helping teams work more efficiently while maintaining accountability and control.
Key Features
<ul>
<li dir="ltr">AI Code Compliance Reviews</li>
</ul>
Ichi enables architects to quickly search, interpret, and validate applicable building codes and jurisdictional requirements. AI-assisted guidance is presented alongside authoritative source language, allowing teams to confidently apply code requirements during design, documentation, and review&mdash;without relying on generic or unverified AI outputs.
<ul>
<li dir="ltr">Automated Construction Administration</li>
</ul>
The platform helps automate and support manual construction administration workflows, including navigating construction documents, responding to RFIs, and reviewing submittals. By reducing the time spent on repetitive coordination tasks, Ichi helps keep projects moving while easing the administrative burden on architectural teams.
<ul>
<li dir="ltr">QA/QC at Scale</li>
</ul>
Ichi strengthens QA/QC by assisting with plan set reviews, cross-sheet consistency checks, and document validation across large and complex drawing packages. This allows architects to identify issues earlier, improve document quality, and reduce risk prior to submission or construction.
<ul>
<li dir="ltr" style="font-weight: bold;">Institutional Knowledge Management</li>
</ul>
Ichi acts as a living knowledge base for architecture firms. Project-specific decisions, jurisdictional nuances, and internal best practices can be captured, shared, and reused across teams and over time&mdash;helping firms preserve institutional knowledge as staff, projects, and regulations change.
Who Should Use Ichi?
Ichi is designed for:
<ul>
<li dir="ltr" style="font-size: 14px; font-family: helvetica, arial, sans-serif;" aria-level="1">
Architecture firms working across multiple jurisdictions
</li>
<li dir="ltr" style="font-size: 14px; font-family: helvetica, arial, sans-serif;" aria-level="1">
Design teams navigating complex or evolving code requirements
</li>
<li dir="ltr" style="font-size: 14px; font-family: helvetica, arial, sans-serif;" aria-level="1">
Firms seeking to reduce QA/QC risk and rework
</li>
<li dir="ltr" style="font-size: 14px; font-family: helvetica, arial, sans-serif;" aria-level="1">
Architects managing heavy construction administration workloads
</li>
<li dir="ltr" style="font-size: 14px; font-family: helvetica, arial, sans-serif;" aria-level="1">
Practices looking to capture and scale internal expertise
</li>
</ul>
While built with architects at the center, Ichi also supports collaboration with engineers and contractors by improving clarity, consistency, and access to critical project information.
Why Ichi?
Ichi is purpose-built for the architectural profession. Unlike general-purpose AI tools, it is designed to operate within the constraints of real-world practice&mdash;prioritizing accuracy, traceability, and professional responsibility.
By combining AI-driven code compliance, QA/QC automation, construction administration support, and firm-wide knowledge management in a single platform, Ichi helps architects spend less time on rote tasks and more time on high-value design and decision-making. The result is better documentation, smoother project delivery, and more resilient architectural practices.
Learn More
Ichi is helping architecture firms modernize how they manage code compliance, QA/QC, and knowledge across their projects, all on one platform.
👉 Visit https://www.ichiplan.com/ to schedule a demo or learn more about how Ichi is helping architects and other AECs build cities of the future.

Ichi

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.

 Online CAD with Dynamic Blocks in ARES Kudo 

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

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

ARES Kudo

Cloud-Only Plan (includes ARES Kudo only)

Mobility Pack (includes ARES Kudo and ARES Touch)

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

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

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

Featuring Graebert at the AEC Innovate Conference

Featuring ArkDesign.AI at the AEC Innovate Conference

ARES Kudo: DWG Drawings Automation for Developers

ARES Kudo by Graebert Introduces AI to Assist Its Users

Reer is&nbsp;an Intelligent Design Environment that brings AI directly into&nbsp;Rhino (&amp;Grasshopper), Revit, and more.
While most AI tools in AEC work on downstream point solutions like documentation, compliance, and visualization, Reer works upstream, directly at the source, the CAD and BIM model files where every project decision originates.
For decades, CAD and BIM platforms have been the backbone of AEC projects worldwide. They are powerful, deeply embedded, and not going anywhere. But the way professionals interact with them has barely changed. Most tasks remain manual, repetitive, and error-prone, requiring users to translate their intent into commands, scripts, and step-by-step operations rather than focusing on the work that actually requires their expertise.
Reer brings a true CAD-native AI collaborator directly into the tools we all rely on, fundamentally changing that interaction. The agent understands the context of your model, acts on your behalf, and handles the full range of workflows professionals deal with every day:
<ul 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-disc flex flex-col gap-1 pl-8 mb-3">
<li class="whitespace-normal break-words pl-2">Batch edits and parametric modeling</li>
<li class="whitespace-normal break-words pl-2">Data extraction and analysis</li>
<li class="whitespace-normal break-words pl-2">Object, layer, and file organization</li>
<li class="whitespace-normal break-words pl-2">Cross-platform coordination</li>
<li class="whitespace-normal break-words pl-2">Visualization and rendering</li>
<li class="whitespace-normal break-words pl-2">Construction documentation</li>
<li class="whitespace-normal break-words pl-2" style="font-style: italic;">And more for you to explore...</li>
</ul>
Beyond individual productivity, teams can build custom skills and modules on top of Reer, turning everyday interactions into reusable design intelligence that compounds over time.
The long-term vision is one intelligent environment across the entire AEC project lifecycle, from schematic design in Rhino through coordination in Revit and beyond.
Reer is currently in Free Beta in Rhino - <a class="underline underline underline-offset-2 decoration-1 decoration-current/40 hover:decoration-current focus:decoration-current" href="https://www.food4rhino.com/en/app/reer-ai">Try it now</a>
Revit coming in June!

Reer

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

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 

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

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

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

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

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

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

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

XYZ Reality Client Success Story

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

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

XYZ Reality

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

Denmark

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

cityweft

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

Result for “Denmark”

Companies "2 results"

COBOD

BIG | Bjarke Ingels Group