e-verse

⭐ Good #AI strategy starts where teams feel the most friction: the questions that take too long to answer and slow better decisions down. Find that question first, and the rest gets much clearer. Contact e-verse.

⭐ A new 1-hour #course by Valentin Noves and Pablo Derendinger from e-verse breaks down the Autodesk APS Viewer for developers, BIM teams, and technical AEC pros. Setup, embedding, model prep, customization, and more. Take the course here: e-verse.com/learn/getting-…

Point solutions are not enough for mission-critical construction. This case study shows how e-verse helped support a platform built to turn fragmented project information into actionable intelligence. Read the full case study: e-verse.com/case-study/wea…

#AEC #education is still too static for an industry becoming more digital, data-driven, and AI-enabled. This article explores why the future calls for a different model of learning and professional preparation. Read it here: e-verse.com/learn/why-univ…

#LLMs can parse #BIM. The real challenge starts with geometry, spatial reasoning, and large-scale model understanding. In #AEC + #AI, the biggest value is being built in the pipeline between parsing and true building intelligence. Connect with e-verse ⭐

Fragmented #construction data slows decisions and hides risk. This NEW case study shows how e-verse helped Weaver scale a platform that turns disconnected project information into actionable intelligence. Read the full case study 🔗e-verse.com/case-study/wea…

Everyone in AEC is talking about AI, but the real advantage will come from stronger data, cleaner workflows, better metadata, and knowledge teams can actually reuse. Firms that prepare the foundation will get far more from AI. Connect with e-verse 📷

#AI in #AEC is not moving in the order most people expected ⚠️. #Code compliance may automate before design. #Engineering may standardize before #architecture. And the firms that win may need fewer, better designers who know how to use AI well. Connect with e-verse ✉️

Still resizing ducts manually in #Revit? Nancy makes it faster. Select a duct, choose one side, resize or change shape, and keep moving. A simpler #HVAC workflow starts here: e-verse.com/revit-ductulat…

AI is hitting every industry, but AEC plays by different rules. In a precision-driven field, AI’s inaccuracies still matter. Our new e-verse article breaks down the real trend, what may change from 2027 on, and what people are not saying about AI in AEC: e-verse.com/learn/why-ai-i…

Still treating your Windows installer like an afterthought? This guide breaks down how to implement Inno Setup, structure the .iss script, compile it, and integrate it with Visual Studio. Read it here 👉 e-verse.com/learn/how-to-i…

#AEC teams should not lose time digging through codes, specs, and RFPs for answers. This case study shows how e-verse built an AI-powered design compliance solution for faster verification and better decisions 👉 e-verse.com/case-study/oqu…

If your Revit-to-glTF export looks flat, broken, or textureless, start with the materials ❌ This post dives into Revit API material handling, texture paths, bump maps, UVs, and more. Read it here 🔗 e-verse.com/learn/revit-ma…

Still doing everything inside desktop #Revit? 😕 Learn #APS Automation for real. Valentin Noves, CEO of e-verse, teaches how to adapt Revit workflows for headless, cloud-based automation in this 1h 30m course: globaletraining.ca/course-library…

Most #AEC #startups do not fail on vision. They fail on workflow reality, trust, interoperability, and runway. If you are building in AEC tech, read this before your next move 🔗 e-verse.com/learn/top-5-mi…

Q2 2026 is packed with #AEC events worth tracking. #AI, #BIM, digital twins, automation, #Autodesk tech, and more are driving the conversation. 📷 Get the full agenda with all the details here:e-verse.com/learn/top-aec-…

Not every building type can be automated. Data centers can.Their design follows clear rules- rack density, power redundancy, cooling, modular expansion. When systems repeat, they can be optimized.That’s why data center design automation is becoming critical.Planning new capacity?

For decades, AEC used AutoCAD and Revit. But the buildings of the next decade—data centers and fabs—are engineered systems, not just architecture. That’s why specialized software and data center design automation are taking over.

Designing a data center means iterating the same variables again and again: power, rack density, cooling, redundancy. Most of it follows rules — which makes it perfect for data center design automation. Planning new capacity? Connect with us.

The #DataCenter market will double by 2030. Design workflows are still largely manual. That gap is where data center design automation becomes critical. Planning a new facility? Connect with us!