RecordorAI.
SovereigntyPlatformProofPilot
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Security overview

Enterprise memory should be reviewed like infrastructure.

RecordorAI is designed for enterprise AI teams that need control over where memory lives, what context leaves the environment, and which AI systems receive approved context.

Updated June 8, 2026

Local-first deployment

RecordorAI can be evaluated as a local, VPC, or on-prem deployment path so memory records remain in the customer-controlled environment.

Retrieval before model routing

The retrieval pipeline does not require an LLM call, which lets customers decide what context is approved before routing to any model provider.

Governance controls

Enterprise review should include tenant boundaries, access controls, retention, deletion, export, audit trails, and approved model-routing policies.

Security packet

Architecture notes, pilot scoping, and benchmark context are available for security and platform teams during enterprise evaluation.

RecordorAI.

Enterprise AI memory under customer control.

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