Clune pushes model vetting as AI enters virtual construction

Clune says rigorous testing of virtual construction and AI tools is becoming essential as teams use digital models to reduce errors, costs and safety risks before work begins. The company argues that model validation will determine whether AI improves real-world building projects or adds new problems.

Why it matters: - Virtual construction is changing how building projects are planned by letting teams test design and assembly digitally before workers reach the site. - Better model analysis can cut rework, reduce safety risks and lower the chance that AI tools amplify bad data or missed design errors. - Clune’s focus on vetting tools highlights a broader shift: construction firms now need to judge not just software capabilities, but whether the underlying models are reliable.

What happened: - Clune discussed virtual construction in an article published on Business Reporter. - The article says virtual construction helps architecture, engineering and construction teams model, test and improve buildings digitally before construction starts. - Clune said it is acting as a technology gatekeeper by testing and vetting emerging virtual construction and AI tools before deployment. - The company framed model analysis as central to making AI useful in construction.

The details: - Digital tools such as BIM, AutoCAD and Revit have already changed how buildings are designed over the past 30 years. - A single digital model can hold a building’s materials, dimensions, geometry and other project data. - That shared model gives stakeholders a common view of the project and lets clients explore the building before construction begins. - Virtual construction goes further by modeling how a building will actually be assembled. - Teams can identify clashes, test tolerances, determine installation sequences and resolve spatial conflicts before work starts. - Changes that once required expensive redesign and rework can be made digitally with minimal impact on cost or schedule. - Virtual planning can also surface safety hazards before construction begins. - AI is being used to automate model analysis and flag design inaccuracies that people might miss. - Successful deployment depends on rigorous testing because AI is only as effective as the data and models it uses. - Validation is presented as necessary to ensure new technology solves problems rather than creating new ones.

Between the lines: - Construction is moving from software adoption to software governance, with vendors and contractors needing to prove that tools work on real projects, not just in demos. - Clune’s message suggests AI in construction will be judged less on novelty and more on whether it improves coordination, accuracy and site safety. - The vetting emphasis also reflects a risk-management approach: bad model data can turn automation into a source of new project errors.

What's next: - Clune says project teams should choose virtual construction tools carefully when planning new builds. - The company is positioning model validation and tool selection as part of the early project workflow. - As AI expands in construction, more firms are likely to add testing and verification steps before rollout.

The bottom line: - In virtual construction, AI can only be as smart as the model behind it, and model vetting may decide whether digital planning saves money or creates new mistakes.