We are a technology company led by architects and engineers who code. Our expertise is to build future-proof AEC solutions creatively.

Miami
Joined October 2020
📌 #AI access ≠ AI adoption. In #AEC, the real shift happens when people know where AI fits into actual workflows—and once a few team members figure that out, the productivity gap can grow fast. Connect with e-verse 📩
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Your #Revit model doesn’t have to stay in Revit. Leia exports it to lightweight glTF for the web, Unity, Unreal Engine, AR/VR, and more. Learn more: e-verse.com/leia-plugin/
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Excel vs. API is not a tech debate. It’s a scale question. One user + one project? Excel may win. Five users + three projects + constant syncing? The math changes fast. Excel is a bicycle. An API is a delivery van. When does your workflow outgrow the bike? 🚲
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Acelab needed Material Hub to work where architects already work: inside Revit. e-verse turned that gap into a native add-in connecting product data, BIM workflows, and real project use. Read the full case study 🔗 e-verse.com/case-study/acela…
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7 AEC lessons trends reports skip: 1. Interoperability is commercial 2. AI adoption = 1 power user 3. BIM bottlenecks = governance 4. Clients want answers, not models 5. Adoption is human 6. Cloud BIM changed the model 7. Clarity > 1st-mover advantage What’s #8?
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Q4 is stacked for AEC: AI, BIM, construction tech, sustainability, project controls, computational design, and more. We mapped the events worth tracking through the end of 2026. Read the full guide 🔗e-verse.com/learn/top-aec-ev…
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#AI in #AEC may create more commercial leverage than design hype. Same-day concepts, faster qualification, more pipeline shots, quicker decisions. Once one firm moves that fast, everyone else gets compared to it. Has AI reached your sales process yet?
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#Dynamo is great for prototypes ✔️ Daily, shared, critical workflows? That’s where add-ins start making more sense. Ask 3 things: who uses it, what breaks if it fails, and who maintains it. What’s the Dynamo script your firm should have promoted months ago?
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#AU2026 wrapped up! 🎲 Valentin Noves & Pablo Derendinger were in Las Vegas following AI, connected data & Autodesk Platform Services. Valuable days exchanging ideas and comparing notes with leaders scaling AEC technology across the industry.
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A #Revit add-in can cost $0 and still be expensive 😐. Before firm-wide rollout, check 4 things: publisher identity, requested permissions, update behavior, and whether it really needs internet access. What’s your rule before installing a plugin firm-wide? 👇
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#AI demand is scaling faster than data center infrastructure can be built. #BIM, prefabrication, modular construction, automation, and digital twins may be key to closing the gap. If this race is on your radar, connect with e-verse 📩
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AEC careers can span decades. Tech stacks can change in a few years. A fixed curriculum was already shaky in the BIM era. AI makes the gap impossible to ignore. It’s time to teach workflows, data, validation, and continuous learning. Read the article 🔗 e-verse.com/learn/why-univer…
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Going to AU2026 in Las Vegas? 🚀 3 days discussing AI, connected data & the tech shaping AEC’s future. Valentin Noves & Pablo Derendinger will be representing e-verse on the ground. Let’s connect! 💬 📍 Las Vegas | Sept 15–17 📌
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#AEC may not need one giant #AI platform. It may need specialized tools for model #QA, specs, project knowledge, and automation—all working from the same trusted data foundation. AI should be the intelligence layer, not the source of truth. Connect with e-verse 📩
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Construction supply chains don’t usually break at one big moment. Risk stacks up in the handoffs: specs, approvals, fabrication, delivery, install. Eshan Jayamanne breaks down the messy middle of project delivery. Listen to the full episode 🔗e-verse.com/learn/where-cons…
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The future of AEC AI may be a stack, not a single LLM: small models for routine work, frontier models for reasoning, multimodal AI for drawings, RAG for project knowledge, and agents for execution. Read the full analysis: e-verse.com/learn/buy-or-bui…
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Your AI moat may not be the model. It may be your specs, RFIs, drawings, contracts, and project knowledge. Good RAG turns proprietary AEC data into context AI can actually use. Read the full analysis: e-verse.com/learn/buy-or-bui…
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AI scales fast. Power, cooling, land, and hardware don’t. As compute density rises and Moore’s Law slows, the next AI bottleneck may look a lot less digital. Full analysis: e-verse.com/learn/data-cente…
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Big news! e-verse is now part of ENG. We’re joining the largest BIM service provider in the U.S. to scale our AI & software solutions for AEC teams—eliminating repetitive work & connecting VDC workflows. Same team, bigger reach! 🚀 📖 engbim.com/new/eng-acquires-… #BIM #AI #VDC
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AEC isn’t resisting AI. It’s demanding proof. Every project brings a different site, code, climate, client, and liability chain—so generic models hit the wall fast. The winners will pair AI capability with deep AEC knowledge. Read the full article 👉 e-verse.com/learn/why-ai-isn…
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