What Happens When AI Understands Reality?

Who should attend?

This session is for teams exploring how AI can turn captured reality into more intelligent, structured and actionable data.

• Engineering and manufacturing leaders looking to reduce the effort between reality capture and usable engineering data
• Reality capture, BIM and VDC teams exploring what Vision AI, automated asset understanding and Scan-to-CAD can now enable
• Digital transformation and innovation leaders evaluating how AI can understand and operationalize physical-world data
• Digital twin, simulation and industrial AI teams looking to connect real-world environments and assets to downstream engineering, simulation and operational workflows

What we’ll cover

See what AI can now understand in captured reality

Recent AI models are opening up entirely new ways to work with reality data. We’ll show how Vision AI can analyze complex industrial environments, identify assets and begin turning what was previously visual data into structured, actionable information.

From captured asset to usable CAD

Scan-to-CAD has traditionally required specialized tools and significant manual effort. See how we’re combining advanced AI models with purpose-built workflows to generate usable CAD from captured physical assets while keeping people in control of the process.

AI as part of the workflow, not a magic trick

Generating something impressive is only the beginning. We’ll show how users can see what the AI is doing, review its decisions, correct results and guide the process. The goal isn’t a black box; it’s a practical, human-in-the-loop workflow for engineering.

One physical asset, many representations

The same asset may have a point cloud for measurement, a mesh for geometry, a Gaussian splat for visual fidelity and CAD for engineering. See how RealityPlatform connects these representations to the same physical asset, allowing users and applications to work with the representation best suited to the task.

From AI to real engineering workflows

The value isn’t in generating another file. We’ll show how intelligent reality assets and their representations can move directly into the tools where teams design, engineer and simulate while the surrounding reality environment is streamed in as context.