Spatial AI Spatial AI describes AI systems that don’t just recognize objects or text, but understand how things are arranged and moving in 3D space. Spatial AI fuses camera …
Spatial Prompts
Spatial AI Platform A Spatial AI Platform bundles the tools needed to build, deploy, and operate space-aware applications: mapping, localization, analytics, orchestration of …
Spatial Analytics Spatial Analytics tracks and analyzes what happens in space over time: where people dwell, how robots move, which paths congest, and how Spatials perform. It …
Spatial Anchors Spatial Anchors are stable reference points in an environment that devices use to align digital content with the physical world. An anchor might be tied to a …
Spatial AR Navigation Spatial AR Navigation uses AR Spatials overlays and Spatial AI localization to guide users through complex indoor and outdoor environments. Instead of reading …
Spatial Cohort Analysis Spatial Cohort Analysis groups users not just by demographics or time but by how they move and behave in space: which zones they visit, how long they dwell, …
Spatial Context Spatial Context refers to the rich situational information that comes from knowing where something is and what surrounds it. Spatial context includes nearby …
Spatial Data Layer The Spatial Data Layer is the shared foundation where all maps, Spatials, anchors, and Spatial events are stored and synchronized. It sits below applications, …
Spatial Digital Twin A Spatial Digital Twin is a live, data-driven replica of a physical space-factory, store, campus, or city-represented as a network of Spatials. Unlike static …
Spatial Edge Computing Spatial Edge Computing runs parts of the Spatial AI pipeline-like localization, object detection, or safety checks-close to where data is generated, on …


