Trimble selects 15 global AECO startups for its 2026 0-60 Challenge, accelerating AI, robotics, and data interoperability solutions toward real-world integration across construction workflows. The program emphasizes execution over ideas, giving finalists 12 weeks to build production-ready integrations with tools like Trimble Connect, SketchUp, Tekla, ProjectSight, and Trimble’s precision hardware.

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

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="What Agentic Actually Means Here" 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="niknaz aftahi" 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="Accelerate Your AEC Startup with the 2026 Trimble 0&ndash;60 Challenge" width="1080" height="auto">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.
<img src="https://aecplustech-files.s3.amazonaws.com/blog/b995bc3e-1078-4812-9fc9-3e86915c0297.jpg" alt="Tech startups in the Architecture, Engineering, Construction, and Owner-Operator (AECO) sector" width="1080" height="auto">
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.
</li>
</ul>
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="Proven Commercial Outcomes" width="1080" height="auto">
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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<div style="font-family: helvetica, arial, sans-serif;"><img src="https://aecplustech-files.s3.amazonaws.com/blog/44bf8bf3-e780-4570-8e71-f0102c20f284.jpg" alt="trimble" width="1080" height="auto"></div>
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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

Gindi Studio is an architecture and interior design firm based in Tel Aviv, Israel that specializes in complex projects, such as office spaces, public interiors, and hotels. The studio's team of 20–30 architects, designers, and engineers combine architecture, interior design, graphics, and product design with advanced technologies like 3D VR, BIM, and parametric design to create innovative spaces. 

facebook.com
‎Gindi Studio‎ - Facebook
2.5K לייקים 3.1K עוקבים Architecture & Interior Design Studio Based in Tel Aviv, Israel - "The Wow Makers" מעקב פוסטים אודות תמונות סרטונים Reels. אזכורים


Gindi Studio

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

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

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ARES Touch

Work productively on mobile devices with tools tailored to smaller screens

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

Reer

EGNYTE CONTENT CLOUD Unlock the full potential of your mission-critical content by simplifying collaboration, improving productivity with AI, and addressing information governance. PLATFORM The Egnyte Platform provides robust, secure, and compliant infrastructure that can be customized and scaled to match your business needs. Faster Time to Value Egnyte delivers immediate value with little or no customization but can tailor its offering to meet your business needs and integrate with your environment. Trusted by IT Leaders Thousand of IT leaders appreciate Egnyte&rsquo;s ease of deployment combined with a secure and compliant architecture. Loved by End-users End-users love working with Egnyte because of its accessibility from wherever they work, without forcing them to alter established processes and behavior. COLLABORATION Collaborate on mission-critical content with distributed teams working from an office, from home, or on the go. Collaborate Efficiently Empower teams to work efficiently and confidently, accelerating project timelines while protecting valuable content. Manage Complex Files Efficiently collaborate on mission-critical content and empower teams that work with large, complex files (up to 250 GB) in the cloud. Streamline Workflows Enhance workflows, improve productivity, drive project momentum, and ensure secure interactions across teams and partners. INTELLIGENCE Drive productivity and innovation with private and secure AI grounded in your company's data. Get fast answers, surface insights, create summaries, and perform actions via a simple, intuitive interface built into users&rsquo; workflows. Private Egnyte&rsquo;s AI respects your governance model and adheres to user-specific permissions, protecting your data with stringent privacy, compliance, and security standards. Purposeful Get accurate, relevant, and traceable answers from your data, with complete control over data sources and AI prompts. Practical Integrate AI seamlessly into existing workflows without moving data out of Egnyte, eliminating the need for new tools or special skills. GOVERNANCE Proactively Address Rapidly Evolving Cyberthreats and Manage Compliance Requirements Defend Against Ransomware Proactively manage the threat of ransomware; detect known ransomware artifacts; keep pace with rapidly-evolving ransomware variants; take immediate action when users experience attacks; and recover quickly from successful attacks using Snapshot Recovery. Protect Sensitive Content Identify and review sensitive content including Personally Identifiable Information (PII), Payment Card Industry Data Security Standard (PCI-DSS) data, and Controlled Unclassified Information (CUI); take immediate corrective action to protect exposed data; strengthen your compliance with global data privacy regulations such as GDPR and CPRA; and continuously improve sensitive data protection. Manage Regulatory Compliance Comply with cybersecurity and data privacy standards, such as CMMC, ISO 27001, and the CPRA; detect data that&rsquo;s subject to compliance and data privacy standards; keep pace with rapidly-evolving international privacy and cybersecurity standards; and benefit from Egnyte&rsquo;s deep compliance experience. Remediate Security Issues Mitigate risk associated with common security vulnerabilities like publicly exposed document links and potential ransomware; automatically respond to suspicious Egnyte login attempts; and enable your team to focus on threats most likely to significantly impact your company. Keep Data Confidential Create virtual data rooms (VDRs) for secure collaboration with external entities; generate Document Rooms in support of M&amp;A, asset sales, and investment fundraising initiatives; watermark previewed files to limit the risk of data breaches; gain real-time insights into users&rsquo; document access activity; and terminate external entities&rsquo; access when projects are completed, for peace of mind.

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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:
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Step-by-step reasoning with clear assumptions
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Direct citations to exact code sections for full traceability
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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
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Exception and cross-reference handling, including circular references across multiple chapters
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Table and diagram understanding, ensuring accurate interpretation of code tables and figures
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Built-in calculations, such as occupant loads, egress sizing, travel distances, and fixture counts
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Personalized compliance illustrations, automatically generated to visually explain requirements for a specific project scenario
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</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

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 

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!

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

Kestrel Labs

ARES is a modern, feature-rich CAD software that serves as a leading AutoCAD alternative for professionals working with 2D drafting and 3D modeling in the industry-standard DWG file format. Developed by Graebert, ARES combines power, flexibility, and affordability&mdash;making it an ideal solution for architects, engineers, designers, and construction professionals seeking a more cost-effective, high-performance CAD platform. With a growing global footprint, ARES is trusted by some of the world&rsquo;s most prominent companies. Among its users are three of Japan&rsquo;s top five construction groups, as well as globally recognized manufacturers such as LG, Hyundai, and Samsung. Its robust feature set supports the complex demands of design, engineering, and construction workflows, offering seamless collaboration and precision. ARES also serves as the underlying technology for other leading CAD solutions. It powers DraftSight by Dassault Syst&egrave;mes, a popular CAD software for 2D design, and Onshape Drawings, the drawing module within the cloud-native Onshape CAD platform. These partnerships highlight ARES&rsquo;s reliability, scalability, and integration capabilities across different design environments. As a truly cross-platform CAD solution, ARES is available on Windows, macOS, and Linux, with additional cloud and mobile access through ARES Kudo (web-based) and ARES Touch (mobile app). This ensures design professionals can work seamlessly across devices and locations, with real-time syncing and collaboration tools. With its DWG compatibility, modern interface, and flexible subscription-based licensing model, ARES offers a compelling alternative to traditional CAD tools&mdash;without sacrificing performance or productivity. Whether you're migrating from AutoCAD or starting fresh with a new CAD workflow, ARES delivers the tools you need to design faster, collaborate smarter, and lower your total cost of ownership. Discover why ARES is the next-generation DWG CAD software for today&rsquo;s professionals. DWG Compatibility: ARES Commander works directly with DWG files, making it a good option for users familiar with other CAD software that uses this format. Part of the ARES Trinity: ARES Commander is the desktop component of Graebert's Trinity, which also includes cloud-based ARES Kudo and mobile ARES Touch. This allows for seamless workflows across devices. Productivity Features: ARES Commander includes features like Power Trim, Dimension Palette, and Layer Tools, designed to enhance user productivity. Customization: Users can customize their workspaces and user interfaces to suit their preferences. Collaboration: The ARES Trinity enables collaboration features, allowing users to share, view, and edit drawings across different platforms and devices. Cloud Integration: ARES Commander integrates with popular cloud storage services like Box, Dropbox, Google Drive, and iCloud. BIM Features: ARES Commander also includes BIM (Building Information Modeling) features, allowing users to import and view Revit and IFC files, extract 2D drawings, and extract BIM information into tables. Licensing: ARES Commander offers perpetual, annual, or flex licenses, and a single license can be used across multiple computers with different operating systems.

Modern workflows leveraging cloud and mobile to synchronize the work across all your users and devices.

CAD Anywhere: Desktop CAD (Windows, Mac, Linux), Cloud CAD (runs in your Internet browser), and Mobile CAD (Android tablets/smartphones and iOS iPhone/iPad).

With the DWG for BIM features in ARES Commander, users can create smarter CAD drawings whose geometry can be extracted and updated from Revit and IFC BIM projects.

ARES Commander - Desktop CAD: All the 2D and 3D features needed to create and modify DWG drawings on Windows, macOS, and Linux.

ARES Kudo - Online CAD: Create and modify DWG drawings online, and enjoy new collaboration features to comment with voice, photos, text notes, and stamps.

ARES Touch - Mobile CAD: A full set of 2D features to create, modify, and annotate DWG drawings on your Android smartphone/tablet and iOS iPhone/iPad with unique collaboration features to markup with voice, photos, text notes, and stamps.

ARES Trinity by Graebert

The ARES Trinity of CAD software encompasses three integrated software products: ARES Commander, ARES Kudo, and ARES Touch.

Featuring Graebert ARES CAD software at the AEC Innovate Conference

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

Featuring Graebert at the AEC Innovate Conference

Capacity Increase:
Gindi Studio, a renowned architectural design firm headquartered in Tel Aviv, specializes in
office space design and has catered to some of the largest corporations in Israel. Over the
years, the studio has witnessed a surge in demand for its services.

“We have a magic tool called qbiq. Using the platform, we are able to deliver preliminary plans at light-speed, increasing our capacity and allowing us to take on more projects than we could initially manage”
Vered Gindi, Founder

Gindi Studio: Capacity Increase

Qbiq is reshaping how commercial spaces are planned and visualized by leveraging advanced artificial intelligence. This innovative platform enables landlords, brokers, architects, and developers to generate test fits, floor plans, 3D walkthroughs, and material estimates in just minutes. By automating what typically takes weeks, Qbiq significantly reduces time to lease and design while increasing accuracy and scalability. Designed to work with common file formats like PDFs, CAD, and DWG, Qbiq allows users to upload floor plans, set programming requirements, and instantly receive multiple layout options. Each layout comes with full documentation&mdash;editable CAD files, BIM-ready Revit models, and rendered 3D tours&mdash;making the platform a powerful tool from concept to delivery. One of Qbiq&rsquo;s biggest advantages is its ability to support layout customization based on user-defined rules, including department sizes, adjacency preferences, and branding standards. The AI also provides quantity takeoffs, such as furniture counts and material data, helping teams better understand cost implications from the start. By streamlining both visualization and documentation, Qbiq empowers real estate professionals to move from plan to action faster and with greater confidence. The company has already made a global impact. With over 650 million square feet of AI-generated designs and clients in more than 60 countries, Qbiq has proven its value across markets. Real estate firms using Qbiq report 40% faster leasing cycles and significantly higher efficiency. For example, Colliers Japan reduced its turnaround time for test fits to under 24 hours, dramatically improving client service and deal velocity. Qbiq integrates seamlessly into existing workflows and exports fully editable plans, enabling architects and designers to build on AI-generated layouts rather than start from scratch. It also features enterprise tools like admin dashboards, user management, and custom planning engines tailored to specific corporate or project requirements. Backed by top-tier investors including Insight Partners and JLL Spark, Qbiq recently closed a $16 million Series A funding round, following a $10 million seed round in 2023. The platform is rapidly gaining traction among leading architecture firms, design studios, and property management companies looking to scale operations, improve client engagement, and accelerate space planning. Qbiq&rsquo;s combination of AI automation, customizable design logic, and real-time visualization offers a transformative approach to commercial space planning. Whether used for office fit-outs, coworking layouts, or landlord test fits, the platform delivers fast, data-driven results that align with real-world needs. Its ability to combine speed, accuracy, and design flexibility makes it a standout solution for the modern built environment. As the architecture and real estate industries continue to embrace digital transformation, Qbiq is positioned as a leader in AI-powered design technology. By reducing friction in the planning process and enabling better decision-making, it is helping reshape how commercial spaces are imagined and delivered.

qbiq

Featuring qbiq AI at the AEC Innovate Conference

qbiq’s Custom AI Transforms Design for AEC Professionals

Featuring Qbiq at the AEC Innovate Conference

Generative AI & Real Estate Innovation (Webinar)

Congratulatory post for the $16M Series A funding round

Rooms

13% Annual Revenue Increase: 
ROOMS by Fattal, a leading co-working chain, was looking to optimize their property's
potential to boost profitability. By utilizing qbiq, they were able to generate several layout
options for the floor, providing valuable insights into the space's efficiency and utilization,
ultimately maximizing revenue. 

“Though we had already constructed three floors in the building, qbiq identified 21 extra workstations that could be added
from our original construction plans” - Nadav Fattal, CEO

ROOMS Co-Work: 13% Annual Revenue Increase

Avison Young is a global commercial real estate services firm, headquartered in Toronto, with more than 100 offices in 19 countries. Avison Young was founded in 1978.

Avison-Young

Avison Young commercial real estate is a global real estate advisor invested in client success

Winning a Major Client in 24 hours: 
Guy Amosi, CEO of Avison-Young Israel, was in a tight spot. Competing against other brokerages to win a large transportation company as a client, he needed a standout strategy.
The challenge escalated when the client was unimpressed with their initial space offering...

Avison-Young: Winning a Major Client in 24 hours

Israel

Skyline Cockpit leverages advanced robotics and automation technologies for crane remote operation. BOOST CRANE OPERATION TIME BY 23% Skyline cockpit eliminates the need to climb up and down the crane, enabling operators to work safely from a comfortable command centre even in challenging weather conditions and reduced visibility. INCREASE CRANE PRODUCTIVITY BY 8% With a 360-degree panoramic site view, a clear viewpoint of the load line and hook, crane and weather indicators, and optimized multi-crane management, operators can achieve an 8% increase in crane operation productivity. Skyline Cockpit Technology - Multi-Angle Camera System - Using multi cameras placed on the tower crane, we display a panoramic view capturing every essential angle, including perspectives from the trolley winch, lift winch, and the cabin and a clear view of the hook and load line. - Cutting-Edge Software Fusion & AR - Our sophisticated software process interweave these visuals to presents a unified, intuitive display, enabling the crane operator to oversee diverse operational elements concurrently. On top of that, we offer an AR layer that anticipates the exact landing spot in real time. - Enhancing Remote Indicators - Our proprietary algorithms and patented applications empower operators with real-time alerts and critical data, including safety warnings, based on weather and wind data during lifting tasks.

Skyline Cockpit

Genda automates construction workflow management by generating and analyzing real-time project data. We generate valuable field data, integrate to the relevant data sources, and provide game-changing insights to construction managers. Construction managers can receive real-time, location-based notifications on punch lists, inspection logs, suggestions, hazards and unscheduled work. Genda automates daily reports and integrates project information with time spent for reliable production rates. Real-time location-based alerts notify workers of on-site safety hazards.

Result for “Israel”

Case Studies "3 results"

Gindi Studio: Capacity Increase

ROOMS Co-Work: 13% Annual Revenue Increase

Avison-Young: Winning a Major Client in 24 hours