The lineage-layer coordinate for AI model provenance and traceability.
A substrate-layer position for the infrastructure that traces the full lineage of AI models — training data sources, fine-tuning decisions, version history, and derivative relationships — making model development auditable and reproducible.
Matched set · sold together
Held and transacted as one position — the matched set across TLDs closes together, not piecemeal.
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, Lineage.
Layer position: Cross-cutting
Why this is canonical
'Model lineage' names the precise technical concept of tracking an AI model's full developmental history: what data it was trained on, what interventions shaped it, what versions preceded it, and what derived models it produced. As AI governance frameworks require model cards, training data disclosure, and audit trails, lineage infrastructure becomes foundational. The .ai TLD makes this the native-era formulation.
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.