The attribution substrate for spatial AI and location-aware systems.
A canonical coordinate for the provenance layer of spatial AI — tracing where AI outputs originate, which model generated which spatial analysis, and how location-derived insights are accounted for.
Matched pair · sold together
Held and transacted as one position. A matched .ai + .com pair forecloses its own most common confusable — one coordinate, not two names.
Coordinated sets this position belongs to — the coverage it extends. Counts are the live cluster size in the graph.
Primary home
Also appears in
Architectural context
Spatial · Cross-Vertical · 2 compound moats. Architectural surface: Spatial, Attribution.
Layer position: Cross-cutting
Why this is canonical
Spatial AI systems — from mapping and navigation AI to AR overlays and location intelligence platforms — generate outputs with unique attribution requirements: who provided the underlying spatial data, which AI model processed it, and with what accuracy. 'Spatial attribution' names the substrate layer that records and verifies this provenance for legal, commercial, and safety purposes.
Where it fits
A few directions this coordinate opens —
Illustrative, not exhaustive — held as a transferable canonical position, open to the buyer's own use.