Learn how Ideate StyleManager, Ideate Explorer, and Ideate BIMLink help construction teams eliminate Revit inefficiencies — from unmanaged styles and hidden elements to manual data errors — with automated QA/QC workflows and bulk parameter editing that saves hours on every project.

How Ideate Software Is Helping Teams Improve Revit Data Management, QA/QC and Automation

In this article, Kestrel Labs explains how AI powered building code compliance can help architects check code directly inside the BIM model, reducing manual review, rework, and permitting delays. The conversation explores how computable building codes, Revit based workflows, and traceable compliance results can support faster design decisions, stronger code confidence, and a more efficient future for AEC permitting.

How Kestrel Labs Is Bringing Code Compliance Inside the BIM Model

<figure class="image"><img src="https://aecplustech-files.s3.amazonaws.com/blog/9198a462-3995-42b2-ad2b-bddb08f3649e.png" alt="Ichi helps architecture teams bring code research earlier into the design process, turning complex compliance questions into faster, cited answers." width="1080">
<figcaption spellcheck="false" data-qb-tmp-id="lt-987372" data-gramm="false">Fig. 1) Ichi helps architecture teams bring code research earlier into the design process, turning complex compliance questions into faster, cited answers.</figcaption>
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We sat down with Chinmayi Suri, Architectural Designer at DGA, and Brandon Levey, Founder and CEO of <a href="https://www.ichiplan.com/" target="_blank" rel="noopener">Ichi</a>, to learn how the two are working at the intersection of architecture and AI to tackle some of the profession's most time-consuming pain points: building code compliance, QA/QC, and the institutional knowledge that disappears when senior staff retire.&nbsp;
On a recent corporate laboratory project, the team at DGA, a Bay Area architecture firm specializing in life sciences and advanced manufacturing facilities, hit a familiar wall. Their mechanical scope carried a $250,000 line item for fire dampers, and the client wanted that cost justified before signing off. The architects suspected the dampers were not actually required by code for this specific occupancy and assembly configuration, but confirming it the usual way meant setting up a meeting, a senior architect pulling code books, cross-referencing amendments, and chasing answers across the firm. On a project already under deadline pressure, the budget question was at risk of being closed out without ever being properly answered.
Instead, they ran the question through Ichi, an AI platform built specifically for navigating building code complexity. Within seconds they had a cited answer from the code confirming the dampers were not required. The line item came out. The client saved $250,000.
While this is a relatively small sum for highly complex projects, this is just a single example and without that quick verification, the money would not have stayed in the project. It would have come out of finishes, or contingency, or somewhere else the team would rather not have touched. That is the part worth paying attention to. Code research used to be a slow, senior-architect-only task that often gets skipped or rushed under deadline pressure. When it stops being slow, it starts shaping budgets in real time.
<h3 dir="ltr">How Manual Code Work Is Costing You</h3>
Code compliance is one of those parts of architectural practice that almost no one celebrates. It is also one of the most expensive parts of the job, in hours if not always in dollars.
Chinmayi Suri, an architectural designer at DGA, works on cGMP pharmaceutical, life science, and manufacturing facilities that often run past 100,000 square feet and carry layered regulatory requirements. She describes the existing process bluntly. Navigating ADA, fire codes, and industry-specific regulations falls on the most senior architects, the ones who have memorized chunks of code over years of repetition. It is institutional knowledge stored in human heads, queried one Slack message or in-person conversation at a time.
That creates two problems. The first is throughput. Senior staff become the bottleneck on every code question, which pulls them away from the design work they were hired to do. The second is timing. Code checking traditionally happens after the design is mostly finished, so compliance issues surface late, when changes are expensive and the schedule is already tight.
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"This stemmed from frustration really. I was sitting on my computer saying this should not take so long, and that's kind of actually where this all started."&nbsp;&mdash; Chinmayi Suri, DGA
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Her original interest in AI tools came out of that frustration, not out of any particular enthusiasm for AI as a concept.
<h3 dir="ltr">Why Generic AI Tools Fall Short</h3>
The obvious question for any architect frustrated with code research is: Can&rsquo;t ChatGPT do the job? The answer, so far, has been no, and the reasons are useful to understand.
Brandon Levey, founder and CEO of Ichi, comes from a 20-year tech background that includes work at a Department of Energy national lab and running R&amp;D teams at Square. He grew up in his father's HVAC and sheet metal business, which is partly why he ended up building software for AEC. He breaks the gap down into three things.
Accuracy on compliance codes has to be very high. Architects stamp their drawings, and a model that produces plausible-sounding language without citing the exact code section is worse than no answer at all. The documents themselves are also unusually large. A spec package can run 6,000 pages. A jurisdiction comment letter can run 60 pages with 300 individual items. General-purpose tools are not built to parse and cross-reference at that scale with any reliability. And, the answers always depend on the context that lives inside the firm: what counts as a standard detail, which assemblies the client has used before, what the senior architect on this project type would flag.
Chinmayi put it more directly. Generic AI tools require the user to already have deep domain knowledge to know what to ask and to verify what comes back. That defeats the purpose. The point of an AI assistant for code work is to lower the barrier, not require an expert to operate it.
<figure class="image"><img src="https://aecplustech-files.s3.amazonaws.com/blog/d43e9371-5c56-45b3-b46b-0264708472ca.png" alt="Ichi&rsquo;s agent based workflow helps teams organize code review, QA/QC, and consultant coordination tasks in a structured review board." width="1080"><canvas class="qb-highlighter__canvas" style="display: none; top: 1px !important; left: 200px !important;" width="47" height="22"></canvas>
<figcaption spellcheck="false" data-qb-tmp-id="lt-193248" data-gramm="false">Fig. 2) Ichi&rsquo;s agent based workflow helps teams organize code review, QA/QC, and consultant coordination tasks in a structured review board.</figcaption>
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<h3 dir="ltr">What Agentic Actually Means Here</h3>
Ichi's product is built around what Brandon calls an agentic approach. The term gets used loosely, so it is worth being specific.
In Ichi's case it means that when users ask Ichi a question they aren&rsquo;t interacting with a single LLM, but rather many different agents that are specialized in specific tasks. This approach helps the platform guide users when they do not know exactly what to ask,check its own work, and complete longer, more complex tasks.
A simple example. An architect asks a question about an auditorium in California. A generic chatbot returns a generic answer. Ichi instead asks clarifying questions about occupancy load and square footage, because those variables fundamentally change which code sections apply. That guided flow matters in code work, where a wrong assumption upstream invalidates everything downstream.
The error-checking piece is more technical but arguably more important.
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"Any type of long-running or long horizon task in AI is going to have errors in it. The way that we evolve through that, a lot of the agentic approaches are by using multiple AI agents to check its work."&nbsp;&mdash; Brandon Levey, founder and CEO, Ichi
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In practice that means when Ichi pulls code references from a 60-page comment letter or runs a feasibility study, separate agents are reviewing the output for inconsistencies and gaps before the architect sees it. That internal cross-check is what makes the difference between a curiosity and something architects will actually put their name on.
Want to hear the full discussion?<a href="https://www.youtube.com/watch?v=rsm_sSv2urI" target="_blank" rel="noopener"> Watch the complete panel conversation with Chinmayi Suri and Brandon Levey on YouTube.&nbsp;</a>
<h3 dir="ltr">Reducing the Work Architects Enjoy Least&nbsp;</h3>
The most concrete value Ichi delivers shows up in the workflows least enjoyed by architects.
Comment letters are the clearest case. When a jurisdiction returns a plan check, the architect's first job is translation: turning a long PDF into a structured spreadsheet that maps each comment to the relevant code reference, assigns it to the right consultant, and drafts an initial response. Brandon described one user who spent five to eight hours turning a 60-page letter with 300 comments into a workable spreadsheet. With Ichi, that drops to around 20 minutes.
Feasibility and zoning studies follow a similar pattern. A study that previously took two to four hours of senior staff time becomes a 20-minute guided workflow, producing an exportable document with code references already in place.
On the documentation side, the savings come less from automation than from triage. Chinmayi pointed to 700-page document sets where the real value is having AI do the first pass, locating where specific notes or drawing discrepancies live. The architect still verifies and decides. They just no longer have to read every line to find the three that matter.
The work that consumes the most time in an architecture firm is rarely the work that draws people into the profession. Cutting hours out of that work is where most firms will see the first real return.
<div><a href="https://www.youtube.com/watch?v=gSKu4e2Qg3s" target="_blank" rel="noopener">Watch Ichi in action: See how the platform supports zoning, design, permitting, and inspections across the full project lifecycle.</a></div>
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<h3 dir="ltr"><iframe style="display: table; margin-left: auto; margin-right: auto; width: 709px; height: 400px;" src="https://www.youtube.com/embed/gSKu4e2Qg3s" width="709" height="400" allowfullscreen="allowfullscreen"></iframe></h3>
<h3 dir="ltr">Capturing the Knowledge Before It Walks Out the Door</h3>
One of the more interesting features in Ichi is what the platform calls Memory. It captures the institutional knowledge of senior staff, the kind of judgment and pattern recognition that takes decades to build and tends to leave the firm when those people retire.
Chinmayi described how the idea took shape at DGA.
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"I wish we could put Mark Davis into a notebook LLM."&nbsp;&mdash; Chinmayi Suri, on DGA principal Mark Davis
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The line is partly a joke about a specific colleague, but it captures something the AEC industry has struggled with for a long time. Knowledge transfer from senior to junior staff is mostly accidental, dependent on proximity, mentorship, and time.
Memory works by ingesting organizational standards, past project notes, and client specifications so the AI's answers reflect the firm's actual way of working, not a generic best practice. DGA has started using it as a training tool, exposing younger architects not just to answers but to the prompts and reasoning senior staff use to get there. The platform already syncs directly with OneDrive and soon will with Google Drive, removing another friction point for firms with messy document storage.
This is also where the security question gets practical. Ichi does not train its models on customer data. For firms handling sensitive client information, particularly in life sciences or government work, that distinction is the difference between adoption and a hard no from legal.
<h3 dir="ltr">The Barriers Are Real, but Shrinking</h3>
Adoption is rarely about whether a tool works. It is about whether a firm can afford the time to find out.
Chinmayi named three barriers: time, trust, and security. Time, because evaluating new software is itself a senior-staff task that competes with billable work. Trust, because architects are personally liable for what they sign. Security, because client data cannot be pasted into a public chatbot.
The trust question tends to dissolve through small wins. Firms that successfully adopt AI usually start with a single project, often a smaller one, and prove the tool against a known answer. Once the output matches what a senior architect would have produced, the conversation shifts from whether the tool is reliable to which workflow it should touch next.
The fear of replacement also fades quickly once people actually use the tools. The intelligent part of the work, as Chinmayi pointed out, still comes from the humans using it. AI takes the repetitive parts. It does not make decisions, and it does not stamp drawings.
<h3 dir="ltr">The New Baseline</h3>
The shift Brandon describes has happened fast. In 2024, the conversation in architecture was still about whether AI was real. By late 2025 it had moved to how to implement it. Firms are now being asked in client interviews and RFP responses what their AI strategy is. Within the next year, not having a clear answer will start to count against firms competing for work.
Chinmayi frames it in the only terms that really matter to working architects.
<blockquote>
"You have to start using it. We have to start thinking about using it in our workflow. It is going to become as prevalent to us at some point as Revit is."&nbsp;&mdash; Chinmayi Suri, DGA
</blockquote>
The shift from hand drafting to CAD took roughly a decade. CAD to BIM took another. Each one looked optional at the start and obvious by the end. The shift now underway, from manual code research to agentic compliance tools, is following the same curve. 
Firms picking up the tools now are buying themselves time to figure out how to use them well before that becomes a job requirement rather than a competitive edge.
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<img src="https://aecplustech-files.s3.amazonaws.com/blog/1de0bf31-afe3-430b-82bc-a14f24bea959.png" alt="" width="160" height="160">
Editor's Note
This article is based on an aec+tech Expert Talk, Navigating Code Complexity with AI, featuring Chinmayi Suri of DGA Architects and Brandon Levey of Ichi. The conversation explored why building code review remains one of the most manual and time consuming parts of architectural practice, and how AI can help project teams navigate code requirements, reduce repetitive review work, and make more informed design decisions.
Learn more on Ichi&rsquo;s product page: <a href="../../tools/ichi" target="_blank" rel="noopener">https://www.aecplustech.com/tools/ichi</a>
Watch the full conversation here: <a href="https://www.youtube.com/watch?v=rsm_sSv2urI&amp;t=168s" target="_blank" rel="noopener">https://www.youtube.com/watch?v=rsm_sSv2urI&amp;t=168s</a>
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In this article, we explore how DGA Architects is using Ichi’s agentic AI platform to rethink building code compliance, QA/QC, and time consuming review workflows. Through a recent project example, the article shows how faster, cited code research helped the team remove a $250K fire damper line item and make better decisions earlier. The piece also looks at how AI can capture institutional knowledge, support junior teams, and become a new baseline for architecture firms as client expectations evolve.

How DGA Used Ichi’s Agentic AI to Rethink Code Compliance

<img src="https://aecplustech-files.s3.amazonaws.com/blog/57eee85d-cd2f-4ffd-842d-2e8a109ebfa4.jpg" alt="" width="1080">The difference between a concept and a market leader lies in the ecosystem in which they operate. If your startup is building the next generation of automation, artificial intelligence, or spatial intelligence for the built environment, this is your final opportunity to apply for the 2026 Trimble 0&ndash;60 Challenge. Applications officially close on May 22, 2026.
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Tech startups in the Architecture, Engineering, Construction, and Owner-Operator (AECO) sector often struggle to gain traction, not because they lack innovative ideas, but because they lack real-world domain context and access to established workflows. The Trimble 0&ndash;60 Challenge is a rigorous, equity-free 12-week sprint designed to help early-stage founders bridge the gap between digital concepts and physical workflows, moving solutions from prototype to real-world deployment.
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Why This Accelerator Is Different
General-purpose accelerators can give you cloud infrastructure, but the Trimble 0&ndash;60 Challenge gives you the industry. Recently named the 2025 Accelerator Program of the Year by BuiltWorlds, this program provides what standard accelerators cannot: direct integration with the world's most widely deployed AECO platforms.
Startups selected for the 2026 cohort will receive:
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Deep Platform Integration: Build directly on Trimble Connect, SketchUp, Tekla, and ProjectSight, or integrate your computer vision and autonomy solutions with Trimble's GNSS receivers, total stations, and laser scanners.
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Expert Mentorship: Get weekly guidance from Trimble platform engineers, product teams, and Trimble Ventures advisors who have spent their careers inside construction workflows.
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Prizes and Market Distribution: Compete for non-dilutive cash prizes and gain a direct path to verified customers via a listing on the Trimble Marketplace.
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Demo Day at Dimensions: Pitch your fully functioning minimum viable product (MVP) to 5,000 construction professionals, buyers, and investors live at Trimble Dimensions in Las Vegas from November 9&ndash;11, 2026.
<img src="https://aecplustech-files.s3.amazonaws.com/blog/19c3bf67-8272-4b06-9e71-b507e5747688.jpg" alt="" width="1080">
Proven Commercial Outcomes
The 12-week roadmap focuses entirely on rapid development and commercial validation. As Simon Boyles, founder of ScaffPlan, noted after his cohort experience, "We finished the program with a brand new, fully functioning application ready to be commercialized". Similarly, the 2025 winner, Datagrid, successfully built an agentic AI tool that integrates directly with Trimble solutions and over 100 enterprise systems, which is now live on the Trimble Marketplace.
Who Should Apply
The program is actively seeking early-stage startups and developers building solutions in three core categories:
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Connected Data: Solutions that facilitate the seamless flow, management, and interoperability of data across the project lifecycle.
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Connected Design: Tools that enhance modeling, simulation, and design workflows to improve accuracy and efficiency.
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Connected Field or Jobsite: Technologies that optimize real-world execution through hardware-to-software synergy and precision technology.
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Key Dates for 2026:
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Applications Close: May 22, 2026
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Finalists Selected: June 12, 2026
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2-Day Kick-Off Event: June 16&ndash;17, 2026 (Westminster, CO)
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Dimensions Demo Day: November 9&ndash;11, 2026 (Las Vegas, NV)
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Do not watch the future of construction technology from the sidelines. If you are ready to scale your technology within the Trimble ecosystem, you must submit your application before the portal closes.
 Apply before midnight on May 22, 2026. <a href="https://www.trimble.com/en/our-company/events/dimensions/experiences/0-60-challenge?utm_source=influencer&amp;utm_medium=article&amp;utm_campaign=TRB-26Q1-GLOB-LE-Nov-09-Trimble-0-60&amp;utm_term=Aec+tech-campaign%20https://www.trimble.com/en/our-company/events/dimensions/experiences/0-60-challenge?utm_source=linkedin&amp;utm_medium=paid-ad&amp;utm_campaign=TRB-26Q1-GLOB-LE-Nov-09-Trimble-0-60&amp;utm_content=startups" target="_blank" rel="noopener">Learn more.</a></div>
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The 2026 Trimble 0–60 Challenge, an equity-free 12-week accelerator for early-stage AEC startups in automation, AI, and spatial intelligence, closes applications on May 22, 2026. Selected founders gain direct integration with Trimble platforms, expert mentorship, non-dilutive cash prizes, and a Demo Day slot at Trimble Dimensions in Las Vegas.

Last Call: Accelerate Your AEC Startup with the 2026 Trimble 0–60 Challenge

Graebert’s ARES Trinity 2027 helps AEC teams automate BIM-to-DWG documentation from Revit, IFC, and Autodesk Forma workflows. It reduces manual drawing updates, supports cloud automation, preserves CAD details, improves feedback loops, and introduces ARES Neo for Revit-based drawing validation.

BIM Has the Intelligence. Why Is Revit Documentation Still Manual?

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.
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AI plan analysis The AI analyzes the full drawing set, identifies potential issues, and compares plans against applicable building codes.
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Review results Users receive a detailed issue report showing potential risks, code conflicts, and recommended corrections.
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InspectMind AI dramatically reduces manual review time, improves plan quality, and helps project teams move faster from design to construction.

InspectMind AI

Catch construction mistakes before they get built

AI-Powered Site Documentation: An InspectMIND Case Study

Featuring InspectMind AI at the AEC Innovate Conference

Featuring InspectMIND at the AEC Innovate Conference

Tools Leading the Way in the AEC+Tech Community

Using AI to Automate Building Inspections

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

D5 Render

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

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

MeltPlan

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

Revit professionals keep their models clean and accurate with the Ideate Explorer Revit add-on software. When using this model browser, as opposed to a project browser, users decrease the time they spend on model management, increase the accuracy of their models, and reduce file space by: Finding and deleting incorrect, obsolete, and hidden problem items, including DWGs Finding, refining, and revising elements, even those excluded from the project browser Getting a full view of any Revit model and understanding all elements in the model Easily complying with standards Auditing and removing Revit warnings The following components included with the Autodesk Revit add-in, Ideate Explorer, provide additional ways to ensure model accuracy: Warnings Manager - Easily review and manage Revit warnings Navigate - Navigate through view-based elements within Revit&mdash;legends, schedules, sheets, and views&mdash;and quickly customize the browsing experience Query - Search on parameters, such as elements assigned a certain size or modeled as in-place families, sheets based on Issuance numbers, and dimensions that have been overridden Boost the Power of Ideate Explorer with Ideate Automation Ideate AutomationFree your staff to do more meaningful work by adding Ideate Automation to your subscription*. This scripting solution runs time-intensive tasks in the background, so staff can continue using the computers to perform higher value tasks. Not only does task automation free staff for higher level engineering and design work, but automation also has the benefit of ensuring that your task outcomes are highly predictable and standardized. The scripts can be run manually or scheduled to run at specific times, including at night. Example: Exporting Model Health Data With Ideate Automation, staff no longer needs to stop what they are doing so their computer can export critical information about the Revit project. Instead, the script will run in the background and deliver actionable data that can be used to increase project health. *Ideate Automation is included in the cost of an Ideate Software Enterprise subscription. Others can purchase it as a separate subscription. View subscription options or contact your account manager for more information. Attend FREE online training courses on all of our products. Visit our Events Page for details. &ldquo;Switching from an office with [Ideate] Explorer to without is a jarring experience. This app puts the filter tool in Revit to absolute shame - it is simply THE tool for finding elements in Revit models.&rdquo; ~Gavin Crump, BIM Guru

Precisely Manage Revit Models | Introduction to Ideate Explorer 

Ideate Query and its Value to All Revit Users

Ideate Explorer

Ideate Explorer and IdeateApps: Safely Moving Revit Content to Another Level 

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:
<ul>
<li dir="ltr" aria-level="1">
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>
<li dir="ltr" aria-level="1">
Architect-in-the-loop control All actions are previewed, reviewable, and reversible, ensuring professional judgment remains central to decision-making.
</li>
<li dir="ltr" aria-level="1">
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>
<li dir="ltr" aria-level="1">
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

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

Solibri Office

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

Building Better with BIM QA: 2025 Interview with Solibri

Checking Revit Models in the Cloud with Solibri

Featuring Solibri at the AEC Innovate Conference

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>
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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

Vizcab has deployed a security and continuous improvement system in partnership with Cogedim:

LCA campaign on more than 12,000 homes and 40,000 m² of offices
A series of regional training sessions to disseminate feedback from the campaign and make it easier to learn how to use the tools
Deployment of a series of Vizcab tools customised for Cogedim:
Vizcab Library integrating Cogedim's library of building systems (macro-components + regional scenarios) developed by its technical department
Vizcab Explo to estimate the carbon performance of a project at an early stage
Vizcab Exam with a personalised alert system in the event of an anomaly in a study at an advanced stage
Vizcab Analytics to visualise and monitor the organisation's carbon trajectory
Inies Explorer for real-time access to industry data to guide large-scale decarbonisation choices
And regular exchanges to share knowledge and ideas.

Cogedim : Ensuring the environmental transition of its organisation

We are the leading 360° Building Carbon Platform, focusing on the embodied carbon impact of materials and Life Cycle Assessment (LCA), offering comprehensive solutions from carbon budgeting to regulatory accounting and reporting. Our services benefit the entire construction value chain, with a primary focus on empowering developers to formulate high-ROI carbon-to-cost strategies. Vizcab harnesses an ever-expanding building carbon data lake encompassing 12 million square meters of construction, simplifying data science and machine learning. We prioritize collaboration and cooperation, exemplified by our API strategy connecting the entire construction ecosystem to our cutting-edge technologies.

Vizcab

France

Strucsoft Metal is a professional-grade light gauge steel (LGS) framing plugin for Autodesk Revit&reg;, by GRAITEC. Built for architects, engineers, contractors, and offsite manufacturers who need to design, document, and fabricate cold-formed steel framing accurately and efficiently, without leaving their Revit environment.
Using a rule-based template system, Strucsoft Metal automates the creation of fully detailed LGS wall panels, floor systems, and ceilings across an entire project in a fraction of the time required by manual methods. The software automatically detects openings, MEP penetrations, and structural intersections, applying the correct framing conditions around each, resolving coordination issues at the modeling stage before they become costly field problems.
For modular and prefab construction teams, Strucsoft Metal includes a dedicated Modular interface. Users define framing templates once via the Template Map, and Quick Create applies them automatically across all repeating Revit groups, including pods, modules, or full prefabricated systems. The Modular Gather Sheets command automates shop drawing generation for the entire project in one operation, producing a complete, model-linked set of drawings for walls, floors, ceilings, and roof panels that update when the design changes.
Before any documentation leaves the model, the Panel Checker tool automatically validates panels for modeling errors, flagging issues with member quantities, connections, stud orientation, and hole coordinates, catching problems before they reach the shop floor.
When the model is complete, Strucsoft Metal exports fabrication-ready data directly to leading CNC roll-forming machines from Howick, Framecad, Scottsdale Systems, Beck Automation, Studmeister, Pinnacle, FrameMac, Arkitech, and others. Pre-loaded component libraries from ClarkDietrich, CEMCO, iSPAN, Marino\WARE, and SCAFCO allow teams to frame with specification-accurate members from day one. Both imperial and metric measurements are supported.
Suitable for projects ranging from bathroom pods to large-scale commercial and healthcare buildings, Strucsoft Metal is the tool of choice for teams that need their BIM model to connect directly, and reliably, to the shop floor.

Strucsoft Metal

Advance Design, FEM/FEA structural analysis software is a mature and easy-to-use solution dedicated to structural engineers operating in a BIM environment. It designs any type of structure with any kind of loads, mixing concrete, timber and steel members. It includes major code standards (Eurocodes / North American).&nbsp;
<h2>Advance Design empowers structural engineers with powerful Finite Element Analysis software to manage projects more efficiently, ensuring safety and cost-effectiveness.</h2>
<ul>
<li>The best in class BIM workflow&nbsp;within and outside of Autodesk ecosystem</li>
<li>Quick onboarding, top-notch support,&nbsp;and prompt responsiveness.</li>
<li>Intuitive&nbsp;user-centric Interface</li>
<li>Handles multiple elements&nbsp;in a single platform (steel, concrete, timber, masonry)</li>
<li>Two yearly releases&nbsp;and exclusive&nbsp;language-specific training</li>
</ul>
&nbsp;
<h2>5 key benefits of structural analysis solution Advance Design</h2>
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<li style="font-family: arial, helvetica, sans-serif; font-size: 16px;">Advanced steel design tools Advance Design offers a wide range of tools and&nbsp;<a href="https://graitec.com/uk/fem-software-for-steel-structural-engineers/">advanced steel design capabilities</a>: From automatic climatic generator to cold-formed sections and considering 7 DOF including connection design.</li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 16px;">Empower your concrete design with Advance Design The all-in-one Finite Element Analysis solution for concrete structures performing all necessary checks and providing detailed reports for the results, as well as automated execution drawings for rebar.</li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 16px;">Automation of routine in modelling and design tasks Save time with automatic climatic load generator and increase productivity with structural generators. Find the best steel, concrete and timber sections in a few clicks using the optimization tool.</li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 16px;">Advanced and user friendly model management Model and modify your structure without worries about changes. Streamline model management through the model browser and common properties dialog.</li>
<li style="font-family: arial, helvetica, sans-serif; font-size: 16px;">Sustainable design Optimize timber structures, estimate CO2 emissions, and&nbsp;<a href="https://graitec.com/uk/solar-structure-projects-with-graitec-advance-design/">enhance solar structure design</a> for sustainable building solutions</li>
</ul>
<div class="nspb-sc nspb-ly__split--1 nspb-flexible--whywork nspb-ly--lBleed nspb-ly--rBleed" data-nspb-section-key="whywork" data-nspb-section-name="why">
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<div class="nspb-ly--columns nspb-ly--header nspb-cmsContent nspb-ly--pmDefault nspb-gutter--xs4 nspb-gutter--sm2 nspb-gutter--md4"><header class="nspb-content nspb-halign--xsleft nspb-halign--smleft nspb-sectionHeader--centered">
<h2>Why choose Advance Design?</h2>
<div class="nspb-sectionHeader__description">
Take your structural engineering projects to the next level with Advance Design, the all in one FEA / FEM Structural Analysis software
</div>
</header>
<div class="nspb-ly__content nspb-content">
<div class="nspb-ly--columnItem nspb-content nspb-halign--xsleft nspb-halign--smleft nspb-valign--top">
<div class="nspb-contentBlock--imageText--left">
Easy to use, learn, and adopt
Preferred by engineers worldwide for its intuitive interface.
</div>
</div>
<div class="nspb-ly--columnItem nspb-content nspb-halign--xsleft nspb-halign--smleft nspb-valign--top">
<div class="nspb-contentBlock--imageText--left">
Ensures data continuity
BIM exchange and interoperability with Autodesk ecosystem and other software
</div>
</div>
<div class="nspb-ly--columnItem nspb-content nspb-halign--xsleft nspb-halign--smleft nspb-valign--top">
<div class="nspb-contentBlock--imageText--left">
Advanced computational capabilities
Offers linear, nonlinear, modal analysis,seismic, staged construction, and pushover analysis
</div>
</div>
</div>
</div>
</div>
</div>
<div class="nspb-sc nspb-ly__split--1 nspb-flexible--whywork nspb-ly--lBleed nspb-ly--rBleed" data-nspb-section-key="whywork" data-nspb-section-name="why2">
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<div class="nspb-ly--columns nspb-ly--noHeader nspb-content nspb-cmsContent nspb-ly--pmDefault nspb-padT--xs0 nspb-gutter--xs4 nspb-gutter--sm2 nspb-gutter--md4">
<div class="nspb-ly--columnItem nspb-content nspb-halign--xsleft nspb-halign--smleft nspb-valign--top">
<div class="nspb-contentBlock--imageText--left">
Internationally recognized
Proven in practice by thousands of users and showcased in Advance Design awards
</div>
</div>
<div class="nspb-ly--columnItem nspb-content nspb-halign--xsleft nspb-halign--smleft nspb-valign--top">
<div class="nspb-contentBlock--imageText--left">
One platform for all your structural projects
Covering concrete, steel, timber, masonry, multistory, and non-common 3D structures.
</div>
</div>
<div class="nspb-ly--columnItem nspb-content nspb-halign--xsleft nspb-halign--smleft nspb-valign--top">
<div class="nspb-contentBlock--imageText--left">
Local technical support and training
GRAITEC partners alongside you with a global team of experts to provide unparalleled support.
</div>
</div>
</div>
</div>
</div>

Discover what's new in Advance Design 2026

BIM Workflow between Advance Design and Revit

Discover what's new in Advance Design 2025

Modelling 3D climatic loads is now easy with Advance Design

Effects of staged construction: tips and tricks

Advance Design - The all in one FEM software solution for structural engineers

From Revit to FEM: The Ultimate workflow for concrete building design

Advance Design

TL;DR:
there.do is an AI-powered editor for construction site reports, simplifying creation, collaboration, and distribution for architects and project managers. It combines Word-like flexibility with specialized blocks, drag-and-drop photos, and AI suggestions, cutting formatting time by up to 75% while ensuring mobile readability and read tracking&mdash;trusted by firms like Valode &amp; Pistre.
&nbsp;
<h3>Overview</h3>
there.do is a specialized software solution designed for construction professionals, including architects, project managers, and engineering firms, to streamline the creation, editing, and distribution of site reports (comptes rendus or CRs). Launched in 2025 by the founders of Finalcad, a team with expertise in construction software since 2007, there.do addresses the common frustrations with traditional tools like Word and Excel, which offer flexibility but demand excessive time on formatting&mdash;often up to 4 hours per report. It also surpasses rigid industry-specific software such as Finalcad, ArchiPad, BIM Office, and Batiscript, which lack intuitive interfaces, aesthetic appeal, and full control over document structure. With a small team of 5 collaborators, there.do has already powered over 2,000 reports, empowering users to focus on content over form.
&nbsp;
<h3>Key Features</h3>
At its core, there.do functions as an intuitive editor that's as simple as Word but embedded with powerful construction-focused features. Users can drag-and-drop photos directly into reports, making it up to 10 times faster than conventional methods. Dedicated "blocks" optimize common report sections, such as meetings, galleries, attendance lists, progress tracking, and tasks, while allowing full customization to match your branding or style. The attendance management is modern and interactive, with automatic totals, cumulative absences, email/phone verification, bulk handling, and historical tracking per report. Task management is advanced, supporting rich statuses, multiple date fields (e.g., noted, due, start/end actual vs. planned), up to five sub-task levels, custom labels for follow-ups, archiving, and grouping by category, location, or stakeholder, complete with action histories.
Progress and workforce tracking features enable flexible labeling, percentage or unit-based metrics, historical reviews (e.g., spotting delays like a lot stuck at 80% for weeks), and automatic delay calculations. Reports are optimized for all screens, including mobile viewing with dark mode support, enhancing accessibility.
&nbsp;
<h2>AI Integration</h2>
AI integration sets there.do apart by working directly within the document&mdash;not as a side tool. It suggests corrections, updates reports from voice notes or photos, and queries attached files, allowing users to accept changes individually for full control. Additional AI agents assist with audio note-taking and photo capture on-site.
&nbsp;
<h3>Comprehensive Workflow</h3>
As a comprehensive all-in-one platform, there.do covers the entire workflow: collaborative editing with industry-specific content, file attachments without size limits, email distribution with AI-assisted drafting, CC/BCC management, branded signatures, scheduled sends, reminders, and locking. Crucially, it provides detailed read tracking&mdash;confirming receipt, opens, and views&mdash;to ensure reports are actually consumed, unlike traditional PDFs that are often illegible on mobile.
&nbsp;
<h3>Comparison: Before and After</h3>
Compared to legacy approaches, there.do slashes formatting time to about 1 hour, handles photos seamlessly, reduces sending to 2 minutes, and offers mobile readability. The "Create a Suite" feature saves 10-30 minutes per follow-up report by duplicating and updating previous ones.
&nbsp;
<h3>Services and Trust</h3>
Trusted by firms like Valode &amp; Pistre, Chabanne, Cicad, Acorus, and others, there.do offers complementary services: training (&euro;499 for up to 10 people, on-site or virtual), report transformation from PDF/Word/Excel (&euro;99), and personalized accompaniment (&euro;999 for model creation and support). Ultimately, there.do boosts efficiency and collaboration in construction projects, turning tedious reporting into a seamless process.

A continuous flow, from notes to sent document

there.do

Spacefit.ai is an AI powered strategic space planning tool built to help organizations make faster, more objective decisions about office space - before committing to leases, redesigns, or major fit-out budgets. It transforms an existing floor plan into a structured workspace model, then generates and compares large numbers of feasible layout scenarios based on real constraints and measurable KPIs.
&nbsp;
Users start by uploading a plan (typically PDF or image-based drawings) and defining a short set of inputs: target headcount, team structure and adjacency preferences, collaboration requirements, space types, and any project rules or standards. Spacefit.ai then produces thousands of scenario permutations using constraint-aware algorithms and AI assistance. Each scenario is evaluated against real-world limitations such as core and fa&ccedil;ade constraints, circulation logic, fixed elements, zoning and functional constraints, and client design standards. This replaces long, opinion-driven iteration cycles with computable evidence.
&nbsp;
Spacefit.ai helps stakeholders compare options side by side with clear outputs, such as seating and capacity, density metrics, area allocation by function, and other planning KPIs that support alignment across Real Estate, Workplace, HR, Finance, and Design teams. Instead of debating drawings, teams can compare measurable trade-offs: footprint vs. capacity, collaboration vs. focus balance, and layout performance vs. constraints.
&nbsp;
Key use cases include test-fit validation for new buildings, workplace strategy scenario planning, footprint optimization, standardization across multiple locations, and faster feasibility cycles for architects and design teams. For brokers and landlords, Spacefit.ai helps convert vacant space into decision-ready options that match a tenant&rsquo;s real needs, improving the quality of discussions during site selection and reducing the risk of late-stage redesign.
&nbsp;
The platform is designed for simple adoption by non-technical users while remaining robust for professional workflows. It provides an auditable &ldquo;source of truth&rdquo; that improves collaboration between internal teams and external partners, reduces back-and-forth, and prevents rework. Spacefit.ai ultimately enables evidence-based workplace decisions that are faster, clearer, and more reliable&mdash;helping organizations make every office square meter count while supporting efficient, compliant, people-first workplaces.

TRADITIONAL SPACE PLANNING vs. GENERATIVE AI

Spacefit.ai

Office space planning made simple with our user-friendly platform.

This AEC data Copilot is designed to revolutionize how you retrieve past drawings and technical information. 🏗️📐 🔍 Ever wanted to find that amazing detail you drew a few years ago? No worries! Now, all your past drawings are organized into a fully searchable library. Here’s what you can do with the AEC Copilot: ✅ Search past details and views by keywords ✅ Find similar views ✅ Locate which drawing a view is extracted from 📚 Got a mountain of books and PDF documents on your hard drive? Can’t remember which document mentioned that technical point? No problem! Ask the Copilot any technical question, and it will: 👉 Provide detailed answers based on your documents 👉 Show full references used 👉 Display the relevant PDF pages for you to review

data copilot

free basic plan (up to 500 MB of database storage and 1,000 searches/month)

Rayon is finally open. Start using our software today, at https://www.rayon.design/

Result for “France”

Case Studies "1 result"

Cogedim : Ensuring the environmental transition of its organisation