Source-owner controlled context
Users decide which private sources become useful to their own assistant and preview what Trove keeps or discards.
Products • Trove
Trove is clean-room institutional knowledge infrastructure for AI agents. It helps teams reuse field expertise from work communication, documents, CRM notes, calls, support escalations, and product conversations while keeping source-owner consent and sanitized team knowledge at the center.
Retrieval boundaries
Trove separates what a user can ask with their own context, what a team can reuse safely, and how AI agents reach those scopes through governed access instead of broad raw search.
Users decide which private sources become useful to their own assistant and preview what Trove keeps or discards.
Reusable lessons become derived knowledge artifacts, not cleaned-up copies of raw messages or private files.
Agents can combine personal context with sanitized team memory without exposing the private source to the rest of the team.
Trove is positioned as a governed MCP knowledge layer for agents that need institutional memory under explicit retrieval rules.
Proof artifacts and audit evidence help explain how knowledge was derived and why a retrieval path was allowed.
Trove rejects productivity analytics, silent organization-wide access, raw private-source browsing, and compliance backdoors.
Where it belongs
Trove fits conversations about internal copilots, agent retrieval, source-owner consent, team knowledge reuse, and MCP access. It should not be forced into Azure Spot, RMM, or bookkeeping contexts unless the user is really asking about AI knowledge governance.
Product site
Open the product site for the current clean-room model, architecture notes, FAQ, and pilot request flow.