ArchOne AI

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

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

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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

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

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

<div><img src="https://aecplustech-files.s3.amazonaws.com/blog/5741b41d-2b98-40f9-9a96-00550e6d0a57.png" alt="InspectMind AI" width="1080"></div>
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<div>Most conversations about AI in construction start with speed.&nbsp;</div>
<div>&nbsp;</div>
<div>&ldquo;How many hours did we save?&rdquo;</div>
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<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>
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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;
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InspectMind AI

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

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

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

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

Ideate StyleManager

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

Archlior is a AI lighting platform created to help people design, visualize, and select the right lighting for any built environment. The platform connects creative interior design concepts with technical lighting requirements. It serves a wide audience, including architects, interior designers, lighting consultants, contractors, students, and homeowners. By bringing together visual tools, technical search options, real-world examples, and educational content, the platform simplifies a process that is traditionally complex and technical.
Instant AI Visualizations A central feature of the platform is its artificial intelligence studio, which allows users to see how light transforms a room without using complicated software. Traditional lighting design often requires expensive visual tools or complex 3D rendering programs that take hours or days to set up. With this platform, users simply upload a photo of a physical space. The software analyzes the image and generates realistic lighting setups in seconds. Users can instantly experiment with different fixture styles and light qualities, testing warm light, cozy golden tones, or cool daylight. This quick visualization process helps designers show ideas to clients, test different arrangements, and decide on the look and feel of a room before buying any physical lights.
Comprehensive Product Discovery The platform includes a large catalog of professional-grade lighting products collected from quality manufacturers around the world. Users can search through thousands of light fixtures based on specific technical requirements rather than just visual appearance. To help users find the exact light needed for a project, the search system includes practical filters such as:
<ul data-path-to-node="5">
<li>
Fixture Types: Recessed ceiling lights, linear lights, decorative pendants, wall-mounted fixtures, track systems, and outdoor architectural lights.
</li>
<li>
Technical Details: Color temperature, beam sharpness, light distribution, energy consumption, and weather resistance ratings for wet or outdoor locations.
</li>
</ul>
Real-World Project Gallery To offer real-world inspiration, the platform maintains a showcase of completed lighting projects from across the globe. This visual gallery includes case studies from various industries, such as luxury hotels, restaurants, retail shops, corporate offices, public art spaces, and residential homes. By viewing these completed spaces, designers can see how professional lighting principles work in practice. Users can observe how proper fixture placement highlights architectural textures, guides movement through a space, sets a specific mood, and ensures visual comfort for occupants.
Technical Calculators and Industry Standards Beyond inspiration, the platform provides practical online calculators designed to handle everyday lighting layout math. These tools help users estimate energy savings when switching to modern systems, calculate overall brightness levels needed for specific rooms, and map out balanced grid patterns for ceiling lights. Additionally, the platform provides references to international lighting guidelines and environmental design standards, helping users ensure their projects meet official safety and performance requirements.
Educational Guides and Resources To support continuous learning, the platform features accessible guides, downloadable books, and articles about lighting principles. These educational resources cover fundamental topics like combining ambient, task, and accent lighting, avoiding common layout mistakes, and choosing the right brightness. They also explore how light affects human health, explaining how matching indoor lighting to natural light patterns can improve sleep, boost energy levels, and enhance general well-being throughout the day.

Archlior

Archlior is a comprehensive architectural lighting design platform for professionals and enthusiasts. It offers a searchable catalog of specification-grade lighting fixtures, a gallery of real-world project inspiration, an AI-powered lighting visualization studio, and professional resources, including lighting calculators, design guides, and industry standards.

<h2>About Mastery of Digital</h2>
Mastery of Digital&reg; is an international initiative launched to empower engineers, architects, and construction professionals with cutting-edge knowledge and tools for navigating the rapidly evolving world of digital construction.
In a sector often resistant to change, Mastery of Digital&reg; serves as a platform for innovation, bridging the gap between traditional workflows and emerging technologies. By providing high-quality educational resources, expert insights, and practical tools, it aims to help professionals not only adapt to the demands of the modern AEC industry but also become leaders in shaping its future.
<h2>What Sets It Apart</h2>
The platform's defining commitment is turning technological complexity into accessible and actionable solutions. It curates the most relevant innovations - from Building Information Modeling (BIM) and AI-powered tools to automation and digital twin technologies - and translates them into hands-on, real-world knowledge.
That translation step is the substance of the offer. The AEC sector's technology problem is rarely a shortage of available tools; it is the gap between a tool existing and a team knowing how to fold it into an actual project workflow.
<h2>Resources</h2>
Mastery of Digital&reg; provides a growing library built specifically for the architecture, engineering, and construction community:
<ul>
<li>Case studies</li>
<li>Training programmes and modules</li>
<li>Industry reports</li>
<li>Technical white papers</li>
<li>AI resources and tools</li>
</ul>
The platform is built for those who want to future-proof their careers, deliver better projects, and stay competitive in a data-driven economy.
<h2>Who It Serves</h2>
Whether you are a contractor looking to streamline operations, a civil engineer exploring automation, or a university lecturer designing a new curriculum, Mastery of Digital&reg; provides a space to learn, contribute, and grow.
<ul>
<li>Contractors and construction managers</li>
<li>Civil, structural and MEP engineers</li>
<li>Architects and designers</li>
<li>BIM and digital construction managers</li>
<li>University lecturers and curriculum designers</li>
</ul>
Including educators in that list is a deliberate choice with long-term leverage - curriculum change reaches the next cohort of practitioners rather than only the current one.
<h2>Mission</h2>
To cultivate a dynamic global community focused on the discovery, application, and scaling of digital construction technologies - providing the resources, guidance, and support necessary for professionals to embrace digital transformation with confidence, and to use it as a tool for innovation, sustainability, and competitive advantage.
<h2>Vision</h2>
To become the global reference point for digital construction, where professionals from all corners of the industry can connect, collaborate, and advance their expertise - positioning Mastery of Digital&reg; as the leading platform where thought leaders, innovators, and practitioners come together to define the future of the built environment.
<h2>Core Values</h2>
<ul>
<li>Commitment to excellence - the highest standards across everything produced, from training modules to technical white papers, grounded in practical application and academic rigour.</li>
<li>Collaboration - progress in construction technology happens through shared knowledge and partnerships, with a culture where professionals across disciplines and borders can co-create.</li>
<li>Empowerment - equipping individuals and organisations with the tools, skills and confidence to navigate digital change, whether starting or leading that journey.</li>
<li>Integrity - honesty, transparency and consistency, building trust by delivering on promises and maintaining an open, respectful environment.</li>
<li>Continuous learning - digital construction is constantly evolving, so the platform emphasises lifelong learning and ongoing exploration, experimentation and education.</li>
<li>Sustainability - promoting greener and more efficient practices in the built environment through content and advocacy.</li>
</ul>
<h2>Reach and Community</h2>
Mastery of Digital&reg; describes itself as more than a platform - a movement to upskill the global AEC workforce, reduce the knowledge gap in construction technology, and inspire professionals to lead with confidence in a digital-first future.
With thousands of subscribers, partners, and growing global recognition, the initiative is helping shape the next generation of construction leaders, equipped not just with tools but with purpose.

Mastery of Digital delivers training, case studies, reports and AI resources on BIM, automation and digital twins for AEC professionals and educators.

Mastery of Digital | Digital Construction Training

Mastery of Digital

Mastery of Digital is an international digital construction education platform offering training programmes, case studies, reports and AI resources on BIM, automation and digital twins for architects, engineers, contractors and lecturers.

Studio 3LHD

3LHD is focused on the integration of different disciplines; architecture, urban and landscape, design and art. With a contemporary approach to architecture, every question is solved through the cooperation, knowledge and experience of the team and associates from different professions.
Projects such as the Memorial Bridge, the Riva Split Waterfront, Sports Hall Bale, Hotel Lone, LN Garden Hotel in China, the Grand Park Hotel Rovinj, the Rimac Campus and the Karlovac Freshwater Aquarium have affirmed the Studio not only in professional circles but also in a wider circle of domestic and foreign public.

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:
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Upload drawings Users upload their architectural or engineering plans directly into InspectMind.
</li>
<li data-section-id="15wns3j" data-start="3071" data-end="3213">
AI plan analysis The AI analyzes the full drawing set, identifies potential issues, and compares plans against applicable building codes.
</li>
<li data-section-id="tm56oz" data-start="3215" data-end="3342">
Review results Users receive a detailed issue report showing potential risks, code conflicts, and recommended corrections.
</li>
</ol>
InspectMind AI dramatically reduces manual review time, improves plan quality, and helps project teams move faster from design to construction.

Catch construction mistakes before they get built

AI-Powered Site Documentation: An InspectMIND Case Study

Featuring InspectMind AI at the AEC Innovate Conference

Featuring InspectMIND at the AEC Innovate Conference

Tools Leading the Way in the AEC+Tech Community

Using AI to Automate Building Inspections

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

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

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

Pirros

The Context
Despite decades of investment in BIM, architectural documentation remains heavily manual. Teams continue to spend significant time on repetitive production tasks, manual QA/QC, and enforcing standards across drawings, views, and schedules.
At scale, this creates inefficiency, late-stage rework, and coordination risk, while contributing to burnout across documentation teams. Existing automation is often fragmented or difficult to apply consistently within live project models, limiting its effectiveness in everyday production work.
SketchPro is being actively deployed at top architecture firms to address this gap by embedding AI directly into architectural documentation workflows.
The Question
How can AI support architectural documentation&ndash; QA/QC, standards alignment, and repetitive production work&ndash; while keeping architects in control, preserving authorship, and respecting firm-specific standards and workflows?
The Approach
SketchPro is an AI documentation copilot embedded directly within Revit, designed to operate on live project models, views, schedules, and sheets. The system is developed around three core principles:
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No workflow disruption Al actions occur inside the same Revit environment already used by project teams for documentation. No exporting, syncing, or parallel tools required.
</li>
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Architect-in-the-loop control All actions are previewed, reviewable, and reversible, ensuring professional judgment remains central to decision-making.
</li>
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Firm-specific intelligence Rather than applying generic rules, the system adapts to project standards, naming conventions, and documentation logic defined by each practice with an &ldquo;AI Knowledge Base&rdquo; set up by admins from each firm.
</li>
</ul>
The Collaboration Model
SketchPro is being deployed in collaboration with architecture firms working across a range of scales, typologies, and geographic locations, including educational, multifamily, and commercial projects. Ongoing collaboration ensures the platform addresses real documentation pain points such as QA/QC consistency, annotation cleanup, and standards alignment within live projects.
The Results
Across partner firms, teams report:
<ul>
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Standardized preferences across projects with AI
</li>
<li dir="ltr" aria-level="1">
30% reduction in documentation time across major tasks like sheet creation, dimensioning, schedules, and QA/QC
</li>
<li dir="ltr" aria-level="1">
20% more capacity to do more projects with their current team
</li>
</ul>
AI is experienced as a support system rather than a replacement. Junior staff report increased confidence and productivity, while senior staff retain full control over technical decisions.
Key Takeaways
Successful AI adoption in architecture depends less on automation alone and more on customization, transparency, and trust in the technology.
By embedding AI directly into documentation workflows and aligning it with the realities of architectural practice, SketchPro illustrates how AI can strengthen existing processes rather than disrupt them, supporting efficiency, quality, and professional judgment.

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

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

Mentor mode provides model-specific guidance

QAQC Audit using your firm's standards and checklists

SketchPro.ai

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

CRDR BIM

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

Featuring D5 Render at the AEC Innovate Conference

Rendering Redefined: D5’s Real-Time Revolution

Why Every Designer Needs Collaborative Rendering (Webinar)

Why Every Designer Needs Collaborative Rendering

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:
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<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

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:
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Architecture firms working across multiple jurisdictions
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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>
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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

The Špansko Pool Complex in Zagreb is a significant public infrastructure initiative designed to elevate the recreational and athletic amenities in the western part of the city. With an investment of €34 million, the facility includes an Olympic-size swimming pool, a wellness center, dedicated fitness areas, and seating capacity for 300 spectators. This modern complex is part of the city’s broader strategy to promote community well-being and provide high-quality sports infrastructure.

As part of a real-world evaluation, a field test of InspectMIND AI, an advanced site inspection and documentation tool, was conducted during an active construction phase. The Job Site Observation module was used to assess concrete works and PPE (Personal Protective Equipment) compliance. The tool enabled real-time digital documentation of site activities, categorization of findings, and attachment of site photos—all through a streamlined and simple to use mobile interface.

Within less than an hour, a fully structured inspection report was generated, complete with AI-generated summaries for each observation area. The test demonstrated how InspectMIND AI reduces time spent on field reporting, increases clarity of safety documentation, and facilitates faster communication between stakeholders. The result was a detailed, data-backed report that highlights the value of digital workflows in the construction sector.

Špansko Swimming Pool Complex - AI Site Docs

Construction of the campus began in September 2019, and work was completed in late 2021. Public spaces have been raised to the fourth floor making the campus specific to conventional office buildings.
The building is shaped by stacking - vertical arranging of different functions on top of each other: a parking lot on the ground floor, three floors of office spaces, a public floor with a restaurant and a conference room, and three floors with accommodation units. 

An important feature of this project is the pioneering application of the VOLUM3 platform for the cooperation of all participants in design, construction and site supervision phases.  
Every day, 139 users joined the platform and by creating (and completing) more than 1700 individual tasks, they generated more than 200 meeting reports. More than 1200 drafts were made and their delivery, alongside complete documentation, was submitted through VOLUM3. 
Thanks to VOLUM3's modules, better overview of activities, faster and better decision-making process, the completion of tasks on time, and detailed reporting were provided. This increased the overall satisfaction of all project stakeholders and reduced the risk of failure.

Campus Infobip

VOLUM3 enables construction professionals to collaborate on projects from any Internet-connected device with access to all project documents, contracts, RFIs, submittals, schedules, drawings and more. We tested VOLUM3 with large architecture companies - they were amazed by the fact it allows them to very quickly ramp up their project and start using it for their project team(s). Most of their subcontractors were also interested in seeing VOLUM3 in action, finding it extremely easy to use and learn. Even if you are a small company VOLUM3 enables you to compete with much larger firms by showcasing the quality of produced work directly from within the VOLUM3 Collaboration Platform.

Result for “Croatia”

Tools "1 result"

VOLUM3