A relevant answer can come from an expired policy or hide a conflicting source. We propose testing the evidence a retrieval system hands to an agent, so teams can see what survives the journey from stored record to answer.
6 min readEvaluation proposal · Illustrative fixture · No system scores reportedRead article ↗
Persistent memory becomes more useful when its origin, access rules and dependencies survive with it. 8DB combines those building blocks with a checkable structural-erasure path for isolated contributions.
Put your AI agent’s protected data access behind encryption. With 8DB, test which records open, which stay sealed and what happens when authority changes, independently of the model’s response to a prompt.
8DB's encrypted-store tests retrieve a value together with its recorded origins. That gives AI builders a concrete foundation for an evidence trail: preserve the source while storing the data, then make it available when someone needs to review the answer.
A useful retrieval result carries its source, uncertainty and coverage as well as its content. 8DB gives AI builders those distinctions in the data layer, so applications can decide when to answer, qualify or investigate.
4 min readImplemented data types · Source review · Illustrative retrieval exampleRead article ↗
OpenSanctions brings together sanctions and watchlist data. Our 8DB research workflow used its ownership records to reconstruct a fourteen-company transition, correct an earlier subsidiary claim, and identify the evidence an investigator should seek next.
7 min readDated public records · September 2026 research rerunRead article ↗