Introducing Shared Reality Copilot

We’re excited to announce the launch of Shared Reality Copilot, a groundbreaking new feature in the Shared Reality workspace that bridges the gap between 3D scans and P&ID diagrams in piping-intensive facilities.

From petrochemical plants to power stations, industrial teams often face the challenge of reconciling fragmented 3D scan data with legacy P&ID documentation. Shared Reality Copilot helps bridge this critical gap, combining advanced AI detection with human oversight to deliver highly reliable infrastructure models that support safety, compliance, and efficiency.

What Is Shared Reality Copilot?

 

Shared Reality Copilot is your AI-assisted, human-guided partner for linking 3D scan data with P&ID diagrams. It automatically detects process equipment pipes, valves, pumps, vessels and suggests logical connections across fragmented scans and legacy documents. But here’s the key: you remain in control. Every AI suggestion is verified or corrected by the user, combining the speed of automation with the expertise of your team.

AI That Works With You,
Not Instead of You

Key Capabilities:

  • AI-Powered Detection of pipes and process equipment 

  • Guided Line Tracing across fragmented scans and diagrams

  • Human-in-the-Loop Verification to confirm or adjust AI suggestions

  • Full Audit Trail for compliance, QA, and collaboration

Shared Reality Copilot

Solving a Complex Challenge

 

For years, engineers, project managers, and asset owners have struggled with:

  • Outdated or incomplete facility models
  • Labor-intensive reconciliation processes
  • Difficulty tracing systems across disconnected datasets
  • Risk of error in safety-critical environments

Shared Reality Copilot addresses these issues by offering a hybrid AI-human workflow. This approach ensures teams can create reliable models without sacrificing speed or quality.

“Copilot transforms the way teams connect the physical and digital worlds in industrial environments,” said Julien Villemeur, Chief Product Officer at Samp. “By automating the tedious parts and guiding users through the critical steps, we’re enabling faster project execution and safer, smarter decision-making.”

Want to learn more about Copilot ?

More to explore

Automated Spatial Tagging

Through automated spatial tagging—powered by in-scan Optical Character Recognition (OCR) embedded within Shared Reality and its Assetizer AI engine—operators can now extract physical label data directly from 360° panoramic imagery embedded in 3D scans. By anchoring physical plant labels directly to CMMS tags and 3D geometries without requiring an existing, validated P&ID as an intermediary, industrial operators can rapidly turn monolithic scans into interactive digital twins, streamline turnaround (TAR) preparations, and unlock comprehensive line-by-line P&ID validation via automated pipe crawling.

A Reality-Based Evolution for RBI and Process Safety Management

In brownfield refining, petrochemical, chemical, and offshore processing facilities, maintaining dedicated “inspection isometrics” represents one of the most resource-draining, error-prone overheads in Asset Integrity Management (AIM). For decades, plant operators have treated 2D Computer-Aided Design (CAD) piping isometric drawings as the mandatory medium for mapping Condition Monitoring Locations (CMLs), defining corrosion loops, and executing Risk-Based Inspection (RBI) workflows under API 570 and API 580/581.

Webinar: Automated Spatial Tagging

Discover how Shared Reality helps you visually isolate piping circuits and corrosion loops instantly, bridging the gap between engineering data and field execution.

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