why on-premise
The opposite of sending your data to a public API
Most AI products ship your data off to someone else's cloud and ask you to trust what happens there. We do the inverse: we bring the entire agentic stack — models, orchestration, guardrails and tooling — into your infrastructure, on your private compute (including NVIDIA GPU deployments where required). Nothing is sent out for inference. Nothing is logged off-site. Your data stays where it already lives.
Request a security review
what your teams get
Evidence for security, risk & audit
Your CISO, DPO and audit teams stay in control. Everything here is something they can inspect, test and prove, not a vendor promise. We're clear on the line between aligned and certified: the architecture enforces alignment, and we support certification with evidence.
Request the architecture & security brief- Full deployment inside your perimeter: on-prem, private cloud or air-gapped.
- No inference, telemetry or logs sent off-site. Verifiable at the network layer.
- Local LLM inference on private compute you own, with no shared tenancy.
- Distributed tracing (OpenTelemetry) and Prometheus metrics on every agent run.
- Cryptographically signed, immutable audit logs for every decision.
- State-versioned workflows with full rollback in seconds.
- Guardrails that block out-of-scope actions and prompt injection.
- Aligned with NIS2, GDPR and the EU AI Act.
