SWAPP.AI

Frank, SWAPP's AI Architect, works inside Revit, checking documentation against a firm's own standards and getting sharper with every project it completes.

Frank: SWAPP's AI Architect, Live Inside Revit

Champ Agents, powered by Wyatt

Unanet CRM AEC

Unanet ERP AE

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

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

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

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

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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.

Navatech is an AI-powered construction SafetyTech company focused on improving how safety information is captured, communicated and acted upon across complex construction and infrastructure projects. Founded in 2020, Navatech works with organisations across the UAE, Saudi Arabia, the UK and other international markets, helping HSE teams connect frontline activity with structured, actionable safety intelligence.
Construction sites generate a significant amount of safety information every day. Workers identify hazards, supervisors conduct inspections, teams complete toolbox talks, incidents are reported, corrective actions are assigned, and observations are shared through conversations, photographs, paper forms, spreadsheets and messaging applications. The challenge is that this information is often fragmented across different systems and languages, making it difficult for HSE teams to capture everything consistently and respond quickly.
Navatech is designed around the way construction teams already work. Instead of relying entirely on complex software interfaces, the platform enables workers and supervisors to interact through familiar channels such as WhatsApp, mobile applications and Microsoft Teams. Workers can use text, voice notes, photographs and other forms of communication to report safety information, while Navatech&rsquo;s AI converts those inputs into structured data that can be reviewed, analysed and managed by HSE teams.
The platform combines three core technology areas: multilingual safety assistance, AI-powered HSE workflows and multimodal safety intelligence.
nAI Hub acts as a multilingual safety assistant, allowing users to ask safety-related questions and receive information in more than 100 languages. This is particularly relevant for construction projects in regions such as the Middle East, where a single site may include workers from many nationalities with different levels of English proficiency. By making safety information easier to access and understand, Navatech aims to reduce the communication gap between safety procedures and frontline teams.
nAI Flow supports day-to-day HSE processes including safety observations, incident reporting, inspections, site walkthroughs, training and safety statistics. AI helps structure information captured from the field, classify risks, identify severity, support root-cause analysis and organise follow-up actions. This gives safety teams a more consistent view of what is happening across a project without requiring every worker to become an expert user of a traditional enterprise system.
At the technology layer, Navatech&rsquo;s Nexus multimodal AI engine is designed to interpret different forms of site information, including text, voice, images and video, and convert them into usable safety intelligence. For example, a worker can photograph a hazard and describe it through a voice note rather than completing a lengthy form. The information can then be processed into a structured safety observation that the project team can review and act upon.
Navatech also focuses on connecting frontline reporting with the wider construction technology ecosystem. The platform is designed to integrate with enterprise and project management environments including Procore, Aconex, SAP, Oracle, Microsoft Teams and other systems, allowing organisations to improve safety processes without creating another isolated source of information.
The company&rsquo;s approach is particularly suited to large construction, infrastructure, real estate, energy and other high-risk project environments where multilingual workforces, multiple subcontractors, limited connectivity and high volumes of site activity make traditional safety reporting difficult. Navatech has worked with and supported organisations and projects across the construction ecosystem, including contractors, consultants, developers and infrastructure organisations.
A key principle behind Navatech is that better construction safety technology should make reporting easier for the worker while creating better information for the organisation. Workers should not need to understand complex software simply to communicate a hazard they have already noticed. At the same time, HSE leaders need structured, traceable and audit-ready information that helps them identify patterns, prioritise risk and make informed decisions.
By combining artificial intelligence, multilingual communication, mobile-first workflows and construction-specific HSE processes, Navatech is building a bridge between what happens on site and the safety intelligence required at project and organisational level. Its goal is to help construction companies identify risk sooner, improve worker participation and move from fragmented safety reporting towards a more connected and proactive approach to construction safety management.

Navatech is an AI-powered SafetyTech platform for construction, helping HSE teams capture, understand and act on site safety information through WhatsApp…

Navatech

Navatech is an AI-powered SafetyTech platform for construction, helping HSE teams capture, understand and act on site safety information through WhatsApp, mobile and digital workflows, with multilingual AI built for frontline workers and complex project environments.

<h2>About MEAN*</h2>
MEAN* - Middle East Architecture Network - is an innovative architecture practice based in Dubai that works, in its own words, at the nexus of design and emergent technologies. The studio organises itself around a single question: how can innovative design solutions advance the future of the built environment? Its output spans three scales - architecture, structures and products - and its projects have been built across the Middle East, Europe, Asia and North America.
<h2>Three Scales of Work</h2>
<h3>Architecture</h3>
Buildings and interiors including the University of Sharjah Innovation Hub, Cosmos House in AlUla, House 00 in Ras Al Khaimah, the Repeat Wellness Club in Barcelona, a members club and fashion incubator in Dubai, and The Migrant Kitchen in New York.
<h3>Structures</h3>
Pavilions, installations and public structures where the studio's technical experimentation is most visible - among them the Expo 2020 Oasis at the UAE National Pavilion, the Deciduous 3D-printed pavilion, Luminescents Pavilion, Desert Pavilion in Wadi Rum, Lamella 3D-printed shading structures for NEOM, and Shell Star in Hong Kong.
<h3>Products</h3>
Furniture and urban objects produced through digital fabrication, including the Mawj 3D-printed chair, Modulus urban furniture, the Sabeel water fountain for Expo 2020, and Sadaf - a 3D-printed bus stop developed for Dubai's Roads and Transport Authority.
<h2>Technology and Digital Fabrication</h2>
Additive manufacturing is central rather than decorative. Several projects are genuinely 3D printed at architectural scale, an area where very few practices worldwide have delivered permanent built work. The studio combines this with computational design, material hybridisation and structural optimisation - concepts it describes as found in nature and made achievable through technology. Data and simulation are treated as design tools: computers generate quantitative models of material behaviour, and machines then build complex, performative forms that conventional methods could not produce economically.
<h2>MEAL* Research Arm</h2>
The practice established MEAL* - Middle East Architecture Lab - as a synergetic research arm complementing the professional studio. Formalising research separately from client work is unusual at this scale and allows experimentation that a fee-earning project could not absorb, with findings feeding back into built commissions.
<h2>Collaborations and Clients</h2>
MEAN* has worked with partners including AECOM, Dubai's RTA, Audi and USM, spanning infrastructure authorities, global engineering firms and design-led brands. The studio states a preference for working with emerging brands that have an ethical mission, combining technical capability with storytelling to create a distinctive spatial identity.
<h2>Recognition</h2>
The practice has been featured by Dezeen, CNN, Forbes, Icon Magazine, The National and Frame, and has been recognised among emerging designers shaping design culture in the Middle East.
<h2>Sustainability and Urban Thinking</h2>
Ecological thinking runs through the work, from lightweight structures that minimise material use to public spaces designed to generate clean energy while going beyond their utilitarian function. The studio views emergent technologies as tools that will reshape cities for the better.
<h2>Why AEC Teams Should Know MEAN*</h2>
For anyone tracking 3D printing in construction, computational design or digital fabrication at building scale, MEAN* is one of the most instructive small practices working in the built environment today.

MEAN* (Middle East Architecture Network) is a Dubai practice working at the nexus of design and emergent technologies, from 3D-printed structures to architectur

MEAN* | Dubai Architecture & 3D Printing Studio

MEAN* Middle East Architecture Network

MEAN* (Middle East Architecture Network) is a Dubai-based practice working at the nexus of design and emergent technologies, delivering architecture, 3D-printed structures, pavilions and products across the Middle East, Europe, Asia and North America.

One Click LCA is the world&rsquo;s leading end‑to‑end sustainability platform, purpose-built for the construction and manufacturing sectors. Founded in Helsinki in 2001, the company has grown to a team of over 200 professionals across all continents and now serves users in more than 170 countries  At its core, this cloud‑based platform offers streamlined, automated Life Cycle Assessment (LCA) and Environmental Product Declarations (EPDs), enabling users to scientifically measure and reduce environmental impacts of structures, infrastructure, renovations, and manufactured goods. Beyond LCA and EPDs, it also supports assessments of circularity, life‑cycle cost, and biodiversity. A standout feature is its extensive global database with over 250,000&ndash;300,000 datasets&mdash;covering supplier-specific and generic material data&mdash;fully verified and regularly updated. This empowers users to make informed, data‑driven decisions. The platform supports over 80 compliance standards, including LEED, BREEAM, GRESB, CALGreen, and various country‑specific regulations. One Click LCA seamlessly integrates with more than 20 leading BIM and design tools, such as Autodesk Revit, Tekla Structures, Bentley iTwin, Rhino, and Grasshopper. This allows for real‑time feedback and early‑phase embodied carbon optimization&mdash;notably through its Carbon Designer 3D tool, which enables quick, BIM‑integrated carbon hotspot analysis and comparison of design scenarios. In some cases, Carbon Designer 3D helps identify carbon footprint variations up to 50% during conceptual design. Leading global players&mdash;including Skanska, WSP, Foster+Partners, Turner, ArcelorMittal, Arcadis, ARUP, Geberit, and Saint‑Gobain, among others&mdash;rely on One Click LCA to drive their decarbonization efforts. AECOM, for instance, equipped its ScopeX&trade; platform with One Click LCA to target a 50% carbon reduction across its projects. Its visibility among industry analysts reflects its market leadership: One Click LCA was featured in Verdantix&rsquo;s 2025 Buyer&rsquo;s Guide for LCA tools and is the first platform validated by RICS under its Whole Life Carbon Assessment (WLCA) programme. One Click LCA also makes parts of its platform freely accessible via its Planetary embodied&ndash;carbon calculator&mdash;a tool for benchmarking cradle‑to‑gate carbon impacts across building designs and supporting EPD usage worldwide. In summary, One Click LCA stands out with its: - Massive, high-quality global dataset (250&ndash;300k records) - Broad compliance across 80+ standards - Deep BIM integrations for early and ongoing carbon management - Recognition by major firms and standards bodies It remains the go-to platform for turning sustainability goals into measurable, actionable outcomes across construction and manufacturing value chains.

One Click LCA

Featuring One Click LCA at the AEC Innovate Conference

Featuring One Click LCA  at the AEC Innovate Conference

AI, Sustainability & Latest Tools for AEC

Sustainability Tools to Watch Out For in 2025!

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

Featuring D5 Render at the AEC Innovate Conference

Rendering Redefined: D5’s Real-Time Revolution

Tools Leading the Way in the AEC+Tech Community

Why Every Designer Needs Collaborative Rendering (Webinar)

Why Every Designer Needs Collaborative Rendering

ArchiMind &mdash; Compliance Is No Longer Manual
For decades, California architects have done the same thing: finish the drawings, then spend days hunting through CBC chapters, marking up PDFs, and hoping nothing falls through the cracks before plan check.
ArchiMind ends that.
ArchiMind is a native Revit plugin that turns California building code into a live, intelligent layer inside your model. The moment you run an analysis, every room, door, stair, corridor, and restroom is evaluated against CBC 2025 &mdash; automatically, instantly, and without leaving Revit. No exports. No spreadsheets. No guesswork.
<hr>
Built for the Code That Actually Governs California Projects
California doesn't run on IBC.
ArchiMind was built from the ground up for this stack:
<ul>
<li style="color: #000000;">CBC 2025 + 2022 &mdash; both editions, data-driven, always current</li>
<li style="color: #000000;">CPC 2025 Table 422.1 &mdash; exact stepped fixture counts by occupancy, not simplified ratios</li>
<li style="color: #000000;">Chapter 11B &mdash; the strictest accessibility standard in the country, fully implemented</li>
<li style="color: #000000;">DSA IR 10-2 + IR 11B-10 &mdash; K&ndash;12 and state-funded project requirements that other tools skip entirely</li>
</ul>
This isn't a multi-jurisdiction platform retrofitted for California. This is California, done right.
<hr>
12 Domains. One Click. Everything Checked.
ArchiMind evaluates your model across every major CBC review category in a single run:
Occupancy Load &middot; Egress &middot; Stairs &amp; Ramps &middot; Fire Resistance &middot; Height &amp; Area &middot; Light &amp; Ventilation &middot; Chapter 11B Accessibility &middot; Restroom Fixtures &middot; Plumbing Fixture Count &middot; EVCS Parking &middot; Exit Signs &middot; DSA Path of Travel
Every result is tied to a specific Revit element and cited to the exact code section. Not "something might be wrong." Exactly what, exactly where, exactly why.
<hr>
Not Just Flagging &mdash; Fixing
Most compliance tools stop at flagging. ArchiMind goes further.
Click GoTo on any failing check &mdash; Revit zooms directly to the element. Click Fix &mdash; ArchiMind corrects it automatically. Door too narrow? Fixed. Handrail too low? Fixed. Ramp too steep? Fixed. Stair too narrow? Fixed. Corridor too tight? Fixed. Every fix is fully undoable with Ctrl+Z. Re-run the analysis to confirm.
Click What's Checked in the dashboard to see every check ArchiMind runs, which ones have auto-fix available, and what's on the roadmap &mdash; full transparency, no black box.
For corridor and stair width violations, the Guide Lines tool draws red dimension annotations directly on your floor plan &mdash; showing exactly how far a wall needs to move. For restrooms, blue annotation boxes appear next to each room showing required vs. provided fixture counts from CPC Table 422.1, plus CBC 11B ADA clear floor area calculations.
This is the difference between a report that tells you what's wrong and a tool that helps you fix it.
<hr>
Compliance That Runs While You Design
ArchiMind's Live mode monitors your model continuously in the background. The moment a room change triggers an egress violation or a door swap creates a width issue, you know &mdash; while it's still a 30-second fix, not a 3-day redesign.
<hr>
For the Whole Team
<ul>
<li style="color: #000000;">Architects &amp; designers &mdash; catch issues during design, not at plan check</li>
<li style="color: #000000;">BIM managers &mdash; embed compliance into your standard Revit QA workflow</li>
<li style="color: #000000;">Project managers &mdash; track compliance status across every active project from the team dashboard, no BIM file required</li>
<li style="color: #000000;">Plan check consultants &mdash; pre-check before DSA or city submission and cut review cycles in half</li>
</ul>
<hr>
The Numbers
200+ compliance checks &middot; 12 CBC domains &middot; 4 California code layers &middot; Revit 2023&ndash;2026 &middot; CBC 2022 &amp; 2025 &middot; CPC 2025 &middot; Chapter 11B &middot; DSA IR 10-2 First CBC run free. No credit card required.

ARCHIMIND is a native Autodesk Revit add-in that runs California Building Code (CBC 2025 & 2022) compliance checks directly inside Revit. It automates 182+…

ArchiMind

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

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

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

ARES Touch works on Android and iOS tablets and smartphones

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

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

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

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

Mobile CAD solution for viewing and editing DWG files on iOS and Android smartphones and tablets

ARES Touch

Work productively on mobile devices with tools tailored to smaller screens

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

Pirros

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

Melt Takeoff

Melt Code is the first building code research AI built for accuracy, transparency, and real compliance decision-making. Unlike generic AI tools that behave like black boxes, Melt Code doesn&rsquo;t just provide an answer &mdash; it shows the full research process so architects and engineers can verify every step and confidently defend their decisions.
Users can ask code questions in plain English and receive reliable, project-specific requirements with:
<ul data-start="804" data-end="1586">
<li data-start="804" data-end="857">
Step-by-step reasoning with clear assumptions
</li>
<li data-start="858" data-end="927">
Direct citations to exact code sections for full traceability
</li>
<li data-start="928" data-end="1139">
Compliance Paths, mapping multiple valid routes to compliance (based on occupancy, construction type, sprinkler conditions, height/area limits, ratings, etc.) so teams can choose the best design approach
</li>
<li data-start="1140" data-end="1242">
Exception and cross-reference handling, including circular references across multiple chapters
</li>
<li data-start="1243" data-end="1343">
Table and diagram understanding, ensuring accurate interpretation of code tables and figures
</li>
<li data-start="1344" data-end="1450">
Built-in calculations, such as occupant loads, egress sizing, travel distances, and fixture counts
</li>
<li data-start="1451" data-end="1586">
Personalized compliance illustrations, automatically generated to visually explain requirements for a specific project scenario
</li>
</ul>
Beyond research, Melt Code includes workflow tools that turn compliance into an organizational asset:
<ul data-start="1692" data-end="1990">
<li data-start="1692" data-end="1858">
Projects, where teams store project context (location, occupancy, construction type, sprinkler status, etc.) so every question becomes instantly project-aware
</li>
<li data-start="1859" data-end="1990">
Checklists, allowing firms to build, store, share, and export reusable compliance checklists across teams and project types
</li>
</ul>
The result is dramatically faster research, fewer senior escalations, reduced consultant dependence &mdash; and most importantly, confidence and peace of mind in every code decision.

Melt Code

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.

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

The Engineering Office (EO) provides architectural, engineering, and design services for large commercial projects in Dubai. EO manages approximately 60 construction projects of varying sizes simultaneously. As part of their core capability, EO’s in-house team and external consultants (if required) review construction-related technical submittals to ensure the design standards. On a yearly average, they handle 11,000 documents.

EO embraced innovation and digital collaboration by integrating zipBoard into their DMS and SAP ERP system. This integration improved their document management, resulting in remarkable improvements. zipBoard is a cloud-based document review and collaboration platform that enables teams to markup, annotate, and discuss documents in real-time. 

SAP ERP & zipBoard Integration Success Story (Engineering Office)

zipBoard

United Arab Emirates

The WhatsApp Safety Companion is an innovative software solution designed to seamlessly integrate with WhatsApp groups, enabling advanced monitoring and analysis of user conversations. This tool enhances workplace safety by automatically detecting and reporting safety hazards, observations, or incidents shared within the group through text or images. Upon detection, the system generates structured incident reports, ensuring that all critical information is accurately documented and categorized. This tool provides a proactive approach to improving workplace safety by making incident detection and reporting faster, more accurate, and easily integrated into existing processes. Safety risks can surface in the most unexpected places, even from a missed message in a WhatsApp group chat. The WhatsApp Group Companion revolutionises the way workplace safety is managed by seamlessly integrating with WhatsApp to monitor and analyse conversations in real-time. Text and Image Analysis: The Companion intelligently processes media types to identify safety issues, ensuring a comprehensive approach to hazard detection. Automated Incident Reporting: Data from the analysis is formatted into standardised incident reports, ready for review and action. Seamless Export Capability: The system allows for effortless export of reports to external platforms such as Navatech’s AI solution (nAI), other third-party systems, or CSV Excel, ensuring smooth tracking, processing, and follow-up.

WhatsApp Safety Companion

Navatech Unleashes AI Revolution on WhatsApp with Saifety Co-Pilot: Check it out now

Hloov is a data and technology company empowering the built environment to achieve financial and NetZero goals by minimizing waste. To create a better future for ourselves and future generations, we at Hloov believe that we need to change our approach towards solving complex built environment challenges that we face today and the ones expected in the future. We believe that the best way to achieve this is by empowering people with data science, cutting-edge technology, and innovative design thinking with a human-centric approach. In a world where ‘change is the only constant, Hloov is all about evolution through revolution. Word Hloov originates from the ancient Asian language – Hmong, which translates to “Change.” “Be the change that you wish to see in the world.” ― Mahatma Gandhi Creative, strategic, and forward-thinking individuals are needed to solve real-world problems. You will find yourself collaborating with other like-minded team members on a journey to solve complex design challenges that arise within our industry’s ever-changing landscape. Be part of the change, and “Be You at Hloov.” Learn more: www.hloov.com/about

Result for “United Arab Emirates”

Companies "2 results"

Navatech

MEAN* Middle East Architecture Network