On device
Local state and local inference
- Identity, preferences, memory, and recommendation state stay closest to the user.
- Ranking, adaptation, and correction loops are designed to run locally first.

AVRAI
privacy-first discovery and model infrastructure
Privacy architecture
AVRAI separates local state, encrypted coordination, and federated improvement into different operating zones. The privacy claim depends on what can stay local, what is allowed to move, and which controls must resolve before any action.
Boundary map
AVRAI becomes easier to understand when privacy is framed as an operating map rather than a generic policy statement.
On device
Encrypted transfer
Federated cloud
Control gates
Learning, sharing, and cross-context use should all be separately bounded by consent.
Unknown or incompatible states fail closed before action, sync, or model promotion.
Operator surfaces are for workflow and telemetry, not personal dossiers or message scraping.
Deletion, export, and revocation need to remove or invalidate affected local learning state.
Next layer
Privacy defines the perimeter. The reality model defines how ranking, planning, and adaptation work inside it.
Reality modelOperating surface
Discovery, planning, reservations, and operator tools all sit on top of the same privacy runtime.
Platform