e-verse

A lot of AEC firms know they need to modernize. Fewer know where to start without burning time, budget, or internal momentum. That is exactly why consulting still matters, especially when it comes from people who understand both the building industry and the technology shaping it. e-verse frames its consulting services around a practical gap: AEC firms need more than awareness of new tools. They need guidance on how to improve workflows, define smarter strategies, plan software investments, centralize data, strengthen BIM standards, and connect platforms in ways that actually support the business. The service also extends into innovation areas like AI, prefabrication, 3D printing, virtual reality, and data analytics. The strongest angle is building a roadmap that fits the realities of your firm. If your team is trying to make better decisions around BIM processes, software strategy, integrations, or digital maturity, connect with e-verse.

Leia glTF Exporter is now updated for Revit 2027 🚀 For teams working at the intersection of #BIM, visualization, interoperability, and real-time #3D, that matters. Leia was built to take #Revit models out of the desktop silo and push them into lighter, faster, more flexible workflows through glTF — a format designed for speed, compact file size, and strong performance across web-based 3D, Unity, Unreal Engine, and AR/VR environments. e-verse positions it as a way to transform Revit designs into .glTF files that can be used across the web and other tools, with the added benefit of online preview through its glTF Viewer. If your workflow depends on getting Revit geometry into modern visualization environments without dragging unnecessary weight with it, this update is worth having on your radar. Know more 👉 https://lnkd.in/dpY5Ctqw

Most people looking at #AEC from the outside assume the biggest winners must be software companies. The public markets are telling a different story. 🔗 This article breaks down who is actually winning across the AEC value chain — from software vendors and engineering firms to contractors, infrastructure players, and materials suppliers — and why the market has shifted so sharply toward electrification, data centers, and public infrastructure exposure. It also takes a hard look at Autodesk’s trajectory and what its relative decline says about the limits of pure-play AEC software. If you want a sharper view of where capital is moving in AEC, and what that says about the industry’s next chapter, read the full article here 👉https://lnkd.in/euS9NExC

Everybody wants #AI to unlock better decisions in #AEC 🚨 Fewer teams are asking whether their models are giving AI anything solid to work with in the first place. This is where the conversation gets uncomfortable. 📌 If your #BIM environment is full of inconsistent naming, weak parameter discipline, half-populated metadata, scattered standards, and unreliable model structure, AI does not become powerful. It becomes expensive. Fast. The firms pulling ahead will not be the ones collecting the most demos or buying the most licenses.  They will be the ones that quietly built the foundation years ago: cleaner parameters, stronger templates, centralized families, better standards, and models treated like data assets instead of polished handoff files. That work is not glamorous. It is not the part people post about. But it is becoming one of the clearest competitive advantages in AEC. 👉 If your team is trying to make AI useful in the real world, connect with e-verse.

#3DGeneration is moving faster than many of us expected 🚀 A while ago, testing #AI with #3D geometry felt more like a curiosity than a serious signal. Simple objects were rough. More complex ones quickly fell apart. The gap between “interesting demo” and “usable output” still looked enormous. That gap is getting smaller. In this video, Valentin Noves shares a simple but revealing exercise: revisiting 3D generation over time and comparing how far the outputs have come. From basic geometry that barely held together to houses, cars, and full OBJ outputs with increasingly coherent structure, the pace of progress is getting harder to dismiss. It is still not precise enough for dimensions, constraints, or the level of control real AEC workflows require. But it is getting closer ⚠️ If this pace continues, 3D generation for #architecture, #engineering, and #construction may evolve much faster than many teams expect. Watch the full video and, if this is the kind of future your team is thinking about, connect with e-verse.

A lot of AI conversations in #AEC begin too late in the process ⚠️ They begin with vendor demos, tool comparisons, and feature lists, when the real starting point should be operational friction: the questions your team keeps asking, the bottlenecks that keep repeating, and the decisions that still take too long to make with confidence. That is where the strategy gets sharper. The most useful #AI initiatives are usually tied to a business question with real weight behind it — cost overruns, RFI lag, subcontractor exposure, recurring delivery risk, documentation gaps, or weak visibility across project workflows. Once the question is clear, the technical path becomes much easier to define. That shift sounds simple, but it changes everything. If your team is trying to think more clearly about where AI should actually create value, contact e-verse.

⭐ If your team is exploring web-based #AEC applications, this course is a smart place to start. We are thrilled to launch "Getting Started with the Autodesk APS Viewer," a course developed in partnership with Global eTraining! 🚀 Created by Valentin Noves (CEO of e-verse) and Pablo Derendinger (CTO of e-verse), this training gives developers, BIM managers, and technical AEC teams a practical introduction to one of the most useful entry points into Autodesk Platform Services. 📌 In just one hour, the #course covers: - The #APS Viewer’s role in the ecosystem. - Environment setup, model upload, and preparation. - Embedding the Viewer into web applications. - Customization and advanced features. It is short, focused, and built for people who want to understand how browser-based model visualization fits into modern AEC software workflows. 👉 Take the course here: https://lnkd.in/erUpjmqy

The most interesting part of this case study is not just the platform. It is the shift behind it 👀 Mission-critical construction projects do not run on isolated workflows. Safety, cost, schedule, quality, compliance, and readiness are deeply connected, and the real challenge is making sense of that context early enough to act on it. That is what made this partnership meaningful. 📌 weaver is building a construction intelligence platform designed to turn fragmented project information into actionable insight. e-verse helped support that vision by strengthening the technical foundation required to scale it for enterprise construction environments. If you want to see how that translated into real platform value, architecture decisions, and AEC-focused engineering work, read the full case study:https: //https://lnkd.in/dTiQxDw3

The most interesting question is not whether #universities should teach specific tools. It is whether they are preparing students for the kind of professional environment they are actually entering 📝 #AEC firms are becoming more software-driven, more data-rich, and more dependent on connected workflows. That changes what “job-ready” really means. It raises the bar for how future professionals think, collaborate, validate information, and keep learning after graduation. 👉 This article explores why the next phase of AEC education should be less static, more modular, and much closer to the realities of AI, BIM, automation, interoperability, and long-term professional adaptability. Read the full article here: https://lnkd.in/esTRB64H

⚠️ A lot of people in #AEC are asking whether #LLMs can work with #BIM. The more useful question is where they stop being enough. Parsing IFC, filtering elements, and extracting properties are already very real capabilities. But genuine spatial reasoning is a different layer of complexity. Intersections, distances, adjacency, model scale, geometry-heavy logic and contextual building understanding still require much more than a language model on its own. That is where the real engineering starts. The strongest approach today is to design better pipelines: let LLMs handle metadata and classification, let spatial engines handle geometry, preserve relationships when exporting to lightweight formats, and give AI structured spatial outputs instead of raw coordinates. That is where AEC + AI gets interesting ⭐ Not in the prompt. In the system behind it. If your team is thinking seriously about BIM, AI, and the technical layer in between, connect with e-verse.