Your AI. Your Perimeter.
Private AI, built as a control system.
Most private AI products stop at where the model runs. MetaFuZe adds a control layer on top of private deployment so teams can scale AI with predictable behavior, cost, and policy-correct context.
Patent-pending RRLM dynamic routing learns an adaptive policy from reward signals to balance quality, latency, and cost.
Context assembly ties into role-based access control so users only see what they are allowed to see across retrieval and memory.
Reproducible benchmark harnesses, readiness gates, and regression checks so changes ship with operational discipline.
Single-tenant cloud or on-prem appliance options designed to keep models, telemetry, and audit trails inside your boundary.
Routing policy changes are validated with benchmarks and readiness gates before promotion.
FuZe.AI gives your teams a production-grade AI perimeter: run a TrulyPrivate tenancy in FuZeCLOUD or drop in a FuZeBOX appliance on-prem. Models, personas, telemetry, and audit trails stay inside your trust boundary—no shared control plane, no lock-in.
