From Scan to Smart Asset
Building Operational Insights in Prevu3D

Transform 3D Scans into Smart Assets with Prevu3D
Behind every Digital Twin is a foundation of structured, enriched, and intelligent assets. But getting from raw point cloud to meaningful operational insights isn’t always easy—or fast.
Join us for an in-depth walkthrough of asset creation in the Prevu3D ecosystem. You’ll learn how to turn unstructured 3D scan data into contextualized, collaboration-ready assets that fuel better decision-making across operations, maintenance, and engineering.
We’ll cover how Prevu3D helps you:
- Transform raw 3D scan data into structured, labeled RealityAssets
- Speed up workflows with semi-automated object recognition and asset tagging
- Enrich models with metadata like asset type, manufacturer, and maintenance inspection details
- Extract piping systems with minimal manual work—even in complex industrial environments
- Collaborate at scale using an intuitive, cloud-ready platform built for efficiency
This session is perfect for professionals in industrial, manufacturing, EPC, chemical, and pharmaceutical environments looking to streamline digital workflows and lay the groundwork for a Digital Twin strategy.
What You’ll Learn
- How to convert point clouds into structured, labeled RealityAssets
- Where automation boosts speed and ROI in asset creation
- How to embed operational insight through metadata and parameters
- Why piping extraction and RealityConnect integrations drive efficiency
- How asset creation unlocks scalable Digital Twin capabilities
Ideal For:
Digital transformation leaders, engineering managers, plant and operations teams, asset owners, BIM/VDC professionals, and anyone exploring smart modeling or twin readiness.
📅 Event Details
Date: Tuesday, June 17th
Time: 1 PM EDT | 10 AM PDT | 7 PM CEST
Duration: 30 minutes + live Q&A
Save Your Spot
Register now—don’t miss this opportunity to see how Prevu3D is transforming asset creation across industries.
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Access the webinar!
From Scan to Smart Asset
When: Tuesday, June 17 2025
Time: 13:00 PM
Ends: Tuesday, June 17 2025
Time: 13:30 PM
Duration: 30 Minutes