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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>
</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>
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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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<img src="https://aecplustech-files.s3.amazonaws.com/blog/b02023eb-2713-4ea3-a35f-e0c2bb302c00.png" alt="" width="160" height="160">
Niknaz Aftahi is the founder of AEC+Tech. This article was produced with materials from D5 as part of a partnership, and independently edited for the AEC+Tech community.
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D5 Render 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>
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AI is a third-party reviewer. It&rsquo;s not a replacement for the engineer or the plan checker, but an extra set of eyes that never gets tired and never skips a page.
Prasad said InspectMind AI can typically review a 100- to 200-page project in one to two hours. In that window it catches discrepancies between drawings and specs, flags cross-discipline coordination issues, and checks against selected/applicable codes and references. It surfaces a prioritized set of findings while the team continues other work.&nbsp;
InspectMind AI has flagged a water main running straight into a 12-inch concrete pipe. It has caught a storm sewer drawn with no slope, which means it would never drain. These are the errors that hide on page 140 of a set and get expensive once they reach the field.&nbsp;
<blockquote>
"This isn't replacing your own diligence or your own quality of work. It's a useful automated review tool that helps you reduce risk and liability and improve quality overall."
&mdash; Aakash Prasad, Co-founder and CEO, InspectMind AI&nbsp;
</blockquote>
The discussion was honest about the limits, too. AI still struggles to read the purely graphical parts of a drawing when there are no words or numbers to anchor it. That should improve over the next few years, but for now InspectMind AI is strongest where drawings, specs, and code references can be grounded and cited. Purely graphical meaning, where the intent lives only in the picture, is still an area where human review matters.
<h2 dir="ltr">From Months of Back-and-Forth to Days&nbsp;</h2>
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<figure class="image"><img src="https://aecplustech-files.s3.amazonaws.com/blog/c6175af5-f771-4066-a384-2d4991e7ce06.png" alt="InspectMind AI tags each finding by severity, discipline, and code." width="1080">
<figcaption>Fig 3) InspectMind AI tags each finding by severity, discipline, and code.&nbsp;</figcaption>
</figure>
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A minor discrepancy on a drawing is not just a quality problem. It is a liability problem. Prasad pointed to ADA compliance as an example. A ramp drawn with a 2.2 percent slope instead of the required 2 percent maximum is a small number on a sheet and a frequent target for litigation. Catching it before construction starts is worth far more than the hour it saved.
The same logic runs downstream. Errors that survive review become Requests for Information (RFIs) and change orders once contractors are on site. Each one costs time and money and strains the client relationship. The financial case lives in catching those errors early.&nbsp;
A church project in California shows how that plays out. The design firm ran its full drawing set (architecture, civil, structural, and specs) through InspectMind AI before submitting to the city. The AI flagged around 300 issues. The team fixed them first. When the city's review came back, the comments were mostly minor, and the firm closed them out in days rather than the weeks or months a project like this can take.
That is the payoff that matters. Not the hours saved running the review, but the weeks of back-and-forth with the jurisdiction that never happened, and the rework that never reached the field.
Garbage In, Garbage Out Still Applies
<figure class="image"><img src="https://aecplustech-files.s3.amazonaws.com/blog/88271371-af97-4945-8f3f-0a5ee2295ce9.png" alt="AI only reflects the inputs it gets." width="1080">
<figcaption spellcheck="false" data-qb-tmp-id="lt-415377" data-gramm="false">Fig 4) AI only reflects the inputs it gets.</figcaption>
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<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>.
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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>

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

Learn how Ideate StyleManager, Explorer, and BIMLink reduce Revit inefficiencies with automated QA/QC workflows, cleanup tools, and bulk parameter editing.

How Ideate Software Improves Revit Data Management and QA/QC

Kestrel Labs embeds AI code compliance in the BIM model, using computable codes and Revit workflows for traceable results, less rework, and faster permitting.

How Kestrel Labs Is Bringing Code Compliance Inside the BIM Model

Civix

Civix are a technology forward civil engineering consultancy in New Zealand and Australia. They specialize in large scale land development projects such as master planned communities, commercial sites and underground infrastructure.

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

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

With ARES Commander, users can work both locally and with files stored in the cloud to improve collaboration. Sync files across users and devices. Create and modify DWG drawings in 2D and 3D, leveraging the drafting and design features that you&rsquo;ve come to expect &mdash; all at a significant cost savings. ARES Commander can stand alone or coordinate with ARES Touch and ARES Kudo to form the Trinity of CAD, unlocking productivity-boosting collaboration features. ARES Commander by Graebert is a powerful and flexible CAD solution designed for professionals who require full-featured 2D and 3D drafting capabilities in native DWG format&mdash;without the high costs or limitations of traditional CAD software. Compatible with Windows, macOS, and Linux, ARES Commander is part of the ARES Trinity suite, which includes access to cloud-based editing through ARES Kudo and mobile capabilities via ARES Touch, all under a single license. One of the key strengths of ARES Commander is its seamless DWG compatibility, allowing users to create, edit, and share files without worrying about format issues. The software includes robust 2D drafting tools, 3D modeling functions such as push/pull editing, and support for dynamic blocks, splines, and parametric features. Beyond the desktop, the ARES Trinity ecosystem enables real-time collaboration through cloud integration, supporting services like Google Drive, OneDrive, and Dropbox. Users can work from anywhere, review drawings on-site, share view-only links with stakeholders, and keep track of revisions with built-in version control and commenting tools. ARES Commander also bridges the gap between CAD and BIM. It allows the import of Revit and IFC files, from which users can extract 2D drawings, automatically generate annotations, and streamline documentation workflows. This functionality makes it easier to work alongside BIM teams while staying within familiar CAD environments. The user interface has been continually refined to support productivity and ease of use, with the latest versions offering customizable workspaces, AI-assisted tools, and a simplified transition path for users coming from other platforms like AutoCAD. ARES Commander is widely adopted across industries, from architecture and engineering to construction and manufacturing. It's known for its solid performance, affordability, and flexibility, offering a complete CAD solution that meets the demands of modern workflows. Whether working independently or as part of a larger team, users appreciate its robust toolset, intuitive design, and commitment to innovation.

Files created in ARES Commander can also be accessed in ARES Kudo or ARES Touch.

ARES Commander includes BIM drawings automation features.

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 Drawings Automation for BIM - ARES Commander Product Review | Niknaz Aftahi of aec+tech

BIM Drawings Automation: From Revit & IFC to DWG in ARES Commander

450+ Dynamic Blocks in Tool Palettes and Trinity Block Library in ARES Commander

AI for CAD in DWG: ARES AI Assist (aka A3) 

Switch from AutoCAD or other AutoCAD Alternatives to ARES effortlessly

ARES Commander | N°1 AutoCAD Alternative for DWG CAD Software on Windows, Mac and Linux

ARES Commander

ARES Commander Standalone [Perpetual License]

ARES Commander [Perpetual License] with Trinity

ARES Commander Flex / Network Seat [Perpetual License]

ARES Commander runs on Windows, MacOS, and Linux platforms.

Featuring Graebert at the AEC Innovate Conference

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Why choose Ideate BIMLink?
Linking Revit and Excel with Ideate BIMLink enables you to export data from Revit to Excel, streamlining data management tasks and dramatically reducing the time they take to perform. By creating a bidirectional connection between the model and a spreadsheet environment, teams can extract large volumes of element data, edit parameters in bulk, validate information, and apply changes using Excel&rsquo;s powerful sorting, filtering, and formula tools. This eliminates the need to manually open and edit individual elements in Revit, significantly reducing repetitive work and the risk of human error.
Importing data from Excel back into Revit means that your models are instantly updated with approved changes, helping ensure they remain clean, coordinated, and accurate. Ideate BIMLink provides access to nearly all instance and type parameters, including many that are difficult to manage efficiently using native Revit schedules alone. This expanded access gives teams greater control over project data, improves consistency across models, supports internal standards, simplifies model auditing, and strengthens overall data governance practices. It also enables collaboration with stakeholders who may not work directly in Revit but can safely contribute through structured Excel-based workflows.
Boost the Power of Ideate BIMLink with Ideate Automation
Add Ideate Automation to your subscription* to reduce the cost of repetitive BIM tasks by letting them run in the background while your staff focuses on higher-value work. This scripting solution can be run manually or scheduled to operate at convenient times, providing just-in-time insight into key Revit model metrics while automating essential workflows such as:
Producing document issue records Exporting PDFs Exporting health check data Preparing COBie data drops Generating quantity takeoff data
By automating these recurring processes, teams improve efficiency, strengthen data accuracy, increase consistency, reduce risk, and deliver more predictable project outcomes without interrupting daily production workflows across projects.
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Ideate BIMLink - Overview on Data Management

Ideate BIMLink

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

Ideate StyleManager

BAMROC: Revolutionizing MEP and MEP vs. Structure Clash Resolution in the AEC Industry
BAMROC is the first AI-powered software in the AEC industry purpose-built to automate MEP (mechanical, electrical, and plumbing) and MEP vs. Structure clash resolution inside real-world BIM coordination workflows. Instead of spending countless hours manually reviewing clashes, modifying routes, and iterating on design options, BIM teams can now rely on BAMROC to act as an intelligent copilot that does the heavy lifting with remarkable speed and consistency.
At its core, BAMROC combines advanced AI-powered decision-making to understand how MEP services interact with structural and architectural elements. It doesn&rsquo;t just highlight problems, it actively proposes and applies optimized resolutions that respect design intent, space constraints, and constructability. This allows BIM MEP coordinators, designers, and engineers to move from reactive firefighting to proactive, high-value decision-making.
By streamlining a traditionally time-consuming and repetitive coordination stage, BAMROC helps projects meet the highest standards of accuracy, safety, and efficiency. It reduces the back-and-forth between disciplines, minimizes rework, and cuts down coordination cycles, ultimately supporting faster project delivery and more predictable outcomes. BIM professionals can focus on design quality, system performance, and client requirements instead of being stuck in manual clash-by-clash troubleshooting.
As an advanced BIM clash resolver, BAMROC analyzes design conflicts, explores multiple routing scenarios, and intelligently adjusts MEP systems to create a clash-free environment. The resolutions are generated with precision, preserving clearances, avoiding critical zones, and maintaining the logic of each system. This level of automation and reliability redefines what &ldquo;productive&rdquo; means in BIM MEP design and coordination.
Whether your team is handling dense plant rooms, complex high-rise cores, hospitals with strict service zoning, or large infrastructure projects under aggressive timelines, BAMROC ensures that BIM professionals can achieve lightning-fast coordination with uncompromising quality. Adopting BAMROC is not just a software upgrade, it is a shift toward smarter, AI-assisted project delivery and a more efficient, future-ready AEC workflow.

BAMROC

Ark Design AI is an AI-powered platform that helps architects and developers create architectural designs for multi-family and mixed-use projects. Architects and real estate developers, create automated floor plans and feasibility reports for multi-family and mixed-use projects quickly and efficiently. Our platform is the first AI solution for architectural schematic design. Optimize profitability, density, and living standards while meeting US codes and ordinances instantly, allowing you to make better and faster decisions. How it works Ark Design AI's software analyzes architectural designs and generates optimized building designs that meet project requirements and local regulations. It can create infinite variations to optimize for density, profitability, and living standards. Benefits Ark Design AI can help architects make better and faster decisions, and cut design costs by up to 90%. It can also free up architects' time and energy for more creative endeavors. Features Ark Design AI can create automated floor plans and feasibility reports. It can also generate a unique mix of unit types for a floor layout. Trial Ark Design AI offers a 10-day free trial. Ark Design AI was built by a team of AI scientists, architects, and software developers. Stage 1 Properties Provide several basic details about your project, such as the number of Floors, the number of Dwelling units, building uses and the Zoning district; these details will help ARK suggest better options further in the process. Stage 2 Lot Type &amp; Lot Editor Please select the preferred lot type: Interior Lot (One side street lot), Corner Lot (Two side street lot), or 2 Corner Lot (Three side corner lot). Once selected, kindly click on &ldquo;Next&rdquo; to proceed. Create the property lines of the Lot and provide information on the surroundings (Streets, Adjacent buildings, and yards). Stage 3 Locate Main Floors Locate the schematic floor plate of the ground and Typical floor of the Project, use different Shapes and sizes to explore and select a floor scheme. Stage 4 Core Editor Design the Vertical Shafts focusing on the residential floors; Adjust the circulation and Determine Room size according to the market standards and building type (Rental/ Condo/ Affordable). Stage 5 Schematic Section Receive the schematic side view and 3D massing of your project. From this point forward plan the project according to your personal preferences. Control the number of floors and their types(Cellar, Ground, Mixed-use, Typical and setback), Edit the floor plans, View summarize area calculations and export it to PDF and Revit file for further design. Stage 6 Floor Plan Editor Edit the Floor plate, create recesses, courts and setbacks; plan the units layout based on your choice of units types distribution. Within minutes the Ark algorithm will generate potential floor plans that meets building code. Select and edit the best option for your project. Stage 7 Plan Unit Mix The floor layout design includes various unit types such as studios, one-bedroom, two-bedroom, and three-bedroom apartments, each with customizable settings like price per square foot and minimum area. Room distribution control ensures optimal use of rooms along window walls without exceeding the maximum available area. The process allows for creating a unique mix of unit types for the typical floor layout, balancing efficiency and market demands.

ArkDesign.AI

ArkDesign.AI Demo with Dity Ayalon (Founder & CEO)

Featuring ArkDesign.AI at the AEC Innovate Conference

Featuring ArkDesign.AI  at the AEC Innovate Conference

Tools Leading the Way in the AEC+Tech Community

Generative AI & Real Estate Innovation with ArkDesign.AI

Article post ( Multi-Family & Mixed-Use Design Through AI: Meet ArkDesign)

Multi-Family & Mixed-Use Design Through AI: Meet ArkDesign

Generative AI & Real Estate Innovation (Webinar)

Generative AI & Real Estate Innovation with ArkDesign.AI, Higharc & Laiout - AEC-Tech Talk 20

AI-Powered Generative Design & Feasibility for Multi-Family & Mixed-Use

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

Case Study: 5 Five-Story Mixed-Use Apartment & Commercial Buildings

Background
A developer had completed designs for five mixed-use buildings using traditional steel frame and concrete construction. With plans to build 65 more similar buildings over the next decade, the release of upcoming New Zealand decarbonisation legislation posed a serious risk to project viability. Compliance uncertainty threatened cost overruns, feasibility issues, and the overall deliverability of the remaining developments. To mitigate these risks, the developer turned to V-Quest to assess and optimize their design strategy.

Results
Within 48 hours of using V-Quest, the developer uncovered significant design optimisation opportunities:
✅ 3,750 tonnes of carbon emissions eliminated through smarter material selection.
✅ 1,000 tonnes of weight reduction, removing the need for expensive piling—saving $750,000.
✅ Structural efficiency gains enabled two additional floors, increasing project yield and profitability.

The outcome? Higher returns, cost savings, and a future-proofed portfolio against incoming legislation—Win, Win, Win.

How V-Quest Delivers Value
V-Quest integrates real-time, data-driven analytics into the design workflow, allowing architects and engineers to rapidly identify and implement optimisation opportunities. Unlike conventional design processes constrained by tight timelines, competitive tendering, and misconceptions about decarbonisation, V-Quest automates deep carbon, cost, and mass analysis without disrupting the workflow.

This enables fast, comparative analysis of materials and construction methods, ensuring every project is cost-efficient, regulation-ready, and environmentally responsible.

ww.vquest.io

High Street Apartments

nezo embeds Cost, Carbon and Weight analytics directly into your design workflow.
Design teams are under pressure to reduce embodied carbon, control budgets and meet compliance targets. Yet the data sits in spreadsheets, PDFs and disconnected tools. Carbon LCA is done too late. Cost surprises cause redesign. Material data is hard to manage.
nezo removes that friction.
Inside your existing software, it automatically quantifies materials and shows the live impact of your decisions on cost, carbon and structural weight. You can compare materials and methodologies early, before changes become expensive.
nezo automates full carbon LCA and compliance reporting, including NABERS-aligned outputs. Compliance becomes a real-time design input, not a post-design burden.
Our Ops Console lets you build and manage your own material database, including supplier rates, EPD data and custom assemblies. Your team gains control, consistency and scalable internal intelligence.
AI works in the background to clean data, map units and reduce noise, without taking control of the design.
<hr data-start="1135" data-end="1138">
<h3 data-start="1140" data-end="1160">Why Choose nezo?</h3>
+ USE YOUR OWN WORKFLOW Live cost, carbon and weight data as you design inside Revit, ArchiCad and SketchUp
+ SAVE TIME Automated quantification, instant LCA and compliance-ready reporting.
+ CONTROL YOUR DATA Build and manage your own material library or leverage our existing library.
+ MAKE BETTER DECISIONS EARLY Compare options with clear performance insight from concept to delivery.
<hr data-start="1487" data-end="1490">
<h3 data-start="1492" data-end="1512">Who is nezo for?</h3>
ARCHITECTS Manage cost and carbon from concept to compliance within your model.
ENGINEERS Compare structural systems and understand mass, cost and carbon impacts instantly.
DESIGN &amp; BUILD CONTRACTORS Reduce redesign, replicate efficient outcomes and protect margin.

nezo

Client: Aedifice
Local Engineer: Civix
Project Name: Selo
Location: Auckland, New Zealand
Project Size: 11 acres
Road Network: 5 miles
Tech Solution: Allsite.ai - Service AI 1.0

Project Overview
Aedifice, a leading property development firm, sought to develop the Selo project, a 11-acre residential community in Eden Terrace, Auckland, New Zealand. The project encompassed 243 buildings across 210 lots, with an extensive utility infrastructure involving over 5 miles of sanitary sewer, wastewater, and water supply pipes. To address the complexity of this large-scale development, Aedifice partnered with local engineers Civix who leveraged the innovative Allsite.ai platform, specifically Service AI 1.0, to optimize the design and construction process.


The Challenge
The Selo project faced several challenges due to its size and scope, including the need to design a highly efficient underground pipe network. The requirements were substantial:

555 (2.7 miles) storm drain pipes

385 (1.7 miles) sanitary sewer pipes

536 (2.6 miles) water supply pipes

The intricate design had to meet stringent engineering rules, including proper pipe cover, minimum clearance between pipes, and minimum grades. Additionally, the design needed to be cost-effective, balancing both capital (CAPEX) and operational (OPEX) expenses while minimizing risks of structural conflicts like pipes too close to retaining walls. Flood resilience was also a critical concern, as the area was prone to flooding.


Technology in Action: Allsite.ai's Service AI 1.0
To overcome these challenges, Civix utilized Allsite.ai's Service AI 1.0, an intelligent tool designed to automate and optimize engineering designs. Service AI 1.0 provided a comprehensive solution for the pipe network by:

Setting all pipe invert levels to ensure compliance with engineering rules.
Automatically designing the pipe network to minimize CAPEX and OPEX costs.
Implementing built-in QA checking to detect potential design conflicts, such as pipes near retaining walls.
Automatically sizing pipes based on specified catchments and performing a full flow analysis to ensure optimal performance.
Generating detailed pipe long sections, capacity tables, and plan views that adhered to Auckland City Council standards, eliminating the need for manual drafting.
Calculating trench volumes and setting excavation methods (shoring or benching), improving communication between developers and construction teams.

In addition, semi-automated flood modelling was conducted using the Tuflow flood engine, ensuring the design was resilient against future flood events.



Client Feedback

According to the projects Professional Engineer from Civix, “Using Service AI 1.0 and Allsite.ai, iterations of servicing design took less than an hour. Every pipe invert was designed with no overrides. I was blown away by how accurate it was, creating a design better than a human could—the design had lower construction and operational costs, giving a great result for the client.”



Selo Residential Development

You can book a demo of our technology at https://allsite.ai we then will run a pilot project with you to demonstrate how the tools can integrate into your workflows. Level AI is a grading optimizer that can perfectly balance large sites whilst designing levels such that roading complies with local rules and all lots can be services with careful consideration of flooding. The inputs to Level AI are a 2d site plan, topographical survey, local rules are pulled from the closest previous project run. The Allsite.ai platform runs on massive GPU clusters in the cloud running billions of iterations to ensure the site perfectly balances. Service AI 1.0 automatically designs the servicing network in 3D given a 2d network, sizing pipes and avoiding clashes whilst meeting local clearance requirements. Service AI 2.0 (ready early 2025) will automatically lay out the servicing network in 3d placing pipes in an optimal routing. Level AI has demonstrated 100x speed-ups on large scale projects, this speed-up allows more layouts to be explored and better outcomes for clients. Case studies in the US have demonstrated the power of the tool, generating over $1 million in earthworks savings on one project alone. Changes to the design are easy, even after construction has started as the site can be rebalanced within hours and a new servicing network designed.

Allsite.ai

New Zealand

Sensori is revolutionizing reality capture technology by providing a cost-effective and highly automated photogrammetry solution specifically designed for capturing and monitoring construction sites. Our innovative platform has democratized 3D modeling by enabling anyone with a standard 360 camera to generate accurate, professional-grade models for milestone scans, as-built documentation, and MEP (Mechanical, Electrical, and Plumbing) projects.
The compact and user-friendly nature of 360 cameras makes them ideal for construction environments, particularly in challenging spaces like ceiling voids, cramped mechanical rooms, and confined areas where traditional scanning equipment struggles to operate effectively. Unlike conventional solutions that require specialized personnel and expensive equipment, Sensori empowers construction teams, project managers, and field workers to capture comprehensive site data independently.
While the industry has traditionally relied on dedicated LiDAR hardware and complex, fragmented post-processing workflows that often require significant technical expertise and substantial investment, Sensori delivers exceptional value through a fundamentally different approach. Our technology harnesses the power of advanced photogrammetry algorithms to achieve high-accuracy 3D reconstruction using nothing more than standard 360 imagery or video footage.
This breakthrough creates unprecedented opportunities that competitors have yet to explore. Users can now generate rich, measurable 3D data directly from affordable consumer-grade cameras, eliminating the barriers that have historically limited reality capture to specialized teams and high-budget projects. The result is accurate, detailed 3D models that provide the same level of precision as traditional methods but with dramatically reduced complexity and cost.
Sensori isn't about replacing existing methods entirely; it's about unlocking new potential and making professional-grade reality capture accessible to everyone. By transforming how 3D reconstruction is approached, we're enabling construction professionals to document, analyze, and monitor their projects with unprecedented ease and affordability, opening doors to applications that were previously impractical or economically unfeasible.&nbsp;
Our mission is to transform how construction teams see, measure, and manage their projects by turning everyday video into precision point clouds that drive better decisions and outcomes.
&nbsp;

Result for “New Zealand”

Case Studies "2 results"

High Street Apartments

Selo Residential Development