Spatial Mapping

Spatial Mapping is the process of converting raw sensor data-camera frames, depth readings, LiDAR scans-into a structured 3D model of an environment. The result is a mesh or point cloud annotated with Spatials such as walls, doors, machines, and paths. Spatial mapping is foundational for Spatial AI, VR Spatials, AR Spatials, and Spatial GPS: without a map, it’s impossible to localize or anchor content. Modern Spatial mapping pipelines run continuously, updating the map as spaces change. Spatials.aiTM treats mapping as an always-on service, ingesting scans from mobile devices, headsets, and robots to keep its Spatial data layer fresh so that Spatial prompts, analytics, and navigation all reflect the current reality, not last year’s floorplan.