Private inference
Open and proprietary models served inside the customer boundary, with per-tenant isolation and quotas.
The foundational AI infrastructure layer for enterprise inference, retrieval, governance, monitoring and deployment. One product. Three deployment modes. Zero compromise on residency, isolation or auditability.
A complete enterprise AI stack — modular, policy-driven, and observable end to end.
Open and proprietary models served inside the customer boundary, with per-tenant isolation and quotas.
Encrypted vector and document stores with row-level access control and tenant-scoped indexes.
Tool-using agents that execute against approved systems through policy-checked connectors.
Centralised guardrails for prompts, retrievals, redactions and external calls — enforced at the gateway.
Per-prompt observability, cost attribution, drift signals and tamper-evident audit trails.
Versioned models, prompts and evaluations with promotion workflows and rollback.
Every layer is policy-enforced and deployable inside the customer's trust boundary.