From Reality Capture to Decision-Ready Digital Twins

Why scanning is no longer the bottleneck—and how teams move from raw data to real decisions faster

As industrial leaders push toward digital twins, AI-driven insights, and accelerated delivery—highlighted recently at CES by Siemens—the weakest link remains the same: fragmented, slow-to-use spatial data that stalls decisions long before engineering or operations can move forward.

For teams working in dense, operational environments, the challenge isn’t collecting reality capture data.
It’s activating that data early enough—without slowing downstream CAD, engineering, or digital twin workflows.

In this session, Kinetic Vision and Prevu3D go behind the scenes of real delivery workflows to show how reality capture data moves from scanning to decision-ready digital twins in practice—not in theory.

What You’ll Learn

• Why speed after reality capture is now the real differentiator
  Where most projects lose weeks—or months—after scanning, and how modern reality capture workflows outperform traditional scan-to-CAD handoffs.
• How Kinetic Vision uses Prevu3D early in delivery workflows
  Evaluating scan quality, isolating assets, and validating data before downstream CAD, engineering, and digital twin pipelines.
• How design decisions start before CAD models are finished
  Using isolated assets in RealityPlan™ to test layouts, remove equipment virtually, and accelerate time-to-decision in parallel with as-built modeling.
• A high-level look at the Siemens–KV–PepsiCo delivery workflow
  How reality capture, Prevu3D, and Siemens tools connect in large-scale industrial modernization projects—with a focus on execution, not hype.