Protect the Foundation of your AI's Knowledge.
MemoryGate is a pre-LLM memory gating layer that returns trust and validity scores for retrieved memories. Powered by SVTD (Surgical Vector Trust Decay).
How It Works
MemoryGate sits between your retrieval system (vector store) and the LLM. It evaluates retrieved memories and returns relevance, trust, and confidence scores.
Instead of deleting history or enforcing hard policies, we provide signals. Downstream consumers decide how to use or filter based on those signals—giving you total control without data loss.
What MemoryGate Is Not
Not Storage
Signals Only
No Hard Policy
Built for Enterprise
Trust signals for HR knowledge bases, legal Q&A, onboarding, and internal search.
HR & Policy
When employees ask about vacation policy, outdated handbook entries get low trust scores. MemoryGate doesn't hide them—it flags them.
Legal & Compliance
Queries over contracts or regulations return multiple versions. Trust scores help identify which source is current; you apply your own rules.
Onboarding
New hires ask about processes. Stale onboarding docs get lower trust; updated ones rank higher, widening the confidence gap.
Internal Search
Teams search across docs; conflicting info gets low trust. You choose whether to filter, surface with a warning, or keep for compliance.
Trust Signals
Each retrieved memory gets relevance, trust, and confidence scores.
Trust
Validity scores
Relevance
Semantic matching
Confidence
Combined signals
Privacy Mode
Zero content storage
Request Enterprise Beta Access
For Internal HR, Legal, Compliance & Onboarding Teams
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