The provenance-layer coordinate for AI model origin and traceability.
A substrate-layer position for the infrastructure that establishes and verifies the provenance of AI models — where they came from, what data trained them, how they were developed, and what chain of custody governs their deployment.
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
Model · Cross-Vertical · 2 compound moats. Architectural surface: Model, Provenance.
Layer position: Cross-cutting
Why this is canonical
'Model provenance' is the precise term for tracing an AI model's origins and developmental history — analogous to data provenance in data engineering but applied to the model artifact itself. As AI regulation, copyright law, and enterprise governance frameworks increasingly require provenance documentation, this becomes a foundational layer. The .ai TLD places it at the agent-era infrastructure surface.
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.