Samp

Samp is an AI-powered digital twin workspace for industrial sites. It takes 3D scans of facilities — like refineries, pipelines, or plants — and automatically turns them into interactive reality models. Instead of staring at raw point clouds, teams get a searchable 3D environment where equipment, piping, and structures are identified and labeled. The platform is built to help owner operators, engineering firms, and scanning services collaborate on a single, up-to-date digital representation of their physical assets.

How does it work? Upload a 3D scan (LiDAR, photogrammetry, or drone data) and Samp's AI processes it into a 'Site Reality' model — equipment is detected, tagged, and made filterable. You can enrich those assets by linking them to data from your existing systems like CMMS, P&IDs, or document repositories. The 'Process Reality' feature connects P&ID symbols directly to the 3D model, with AI guidance along piping paths. Everything runs in a web browser, so distributed teams can view, annotate, and update the twin without special software. The self-service 3D update capability means you can modify equipment geometry or attributes as the facility changes, avoiding costly CAD rebuilds.

Who gets the most out of Samp? Industrial owner operators use it to improve safety during maintenance and management-of-change activities by giving field workers a clear 3D view of the site. Engineering and EPC firms benefit from faster quotes and execution when they can visually access accurate as-built data. Scanning service providers use it to deliver more value to clients by turning raw scans into intelligent models. The result is shorter project timelines, fewer site visits, and a single source of truth for asset information across the lifecycle.