DMM is the retrieval layer that fixes that. Sovereign, on-premise associative memory — sub-millisecond, tamper-evident, and completely decoupled from your model.
Token Cost Reduction | Zero Data Egress | Post-Quantum Secure | Air-Gap Ready | Blockchain Audit Trail
Every token your model carries in context costs money. Every time it reaches into a vector store, it's slow, probabilistic, and dependent on infrastructure you don't own.
For regulated organisations — where data sovereignty, audit trails, and security posture aren't optional — that's not just inefficient. It's a governance exposure.
DMM ships as a physical appliance or private cloud instance. Ask your vendor for more information.
All tiers include the DMM browser console, full REST API, developer IDE, and integration scripts. Your engineers don't need AI expertise to deploy or support it.
DMM was designed from day one for deployment in regulated sectors — not adapted for them after the fact.
Post-quantum encryption is a founding design constraint, not a feature added in a later version. The architecture stores meaning, not files — your source data is never held in recoverable form inside the appliance. Air-gap deployment is supported out of the box.
For healthcare, financial services, legal, and defence environments where data handling obligations are non-negotiable, that matters.
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