How we deploy enterprise AI.
The same governed control plane runs where your work lives. Cloud, on-premise, or fully air-gapped. The policy, the approval gates, and the audit trail are designed to travel with the deployment.
Four phases to production.
Every engagement follows the same route, from a scoped mission to a governed deployment in your environment.
Scope the mission
We map the workflow, the data, the policy, and the deployment target, from cloud to air-gap, and define what agents may and may not do.
Compose the agents
Declarative mission workflows orchestrate the agent team, the model router, and the tools, with ABAC and approval gates wired in from the start.
Prove and govern
We run the mission against real work with a human operator in command, and validate the audit trail, traces, and controls.
Deploy and scale
Ship to your environment, connect your systems, and expand across missions and verticals on the same control plane.
Three ways to run, one control plane.
Pick the environment your data and your rules require. The governance travels with the deployment. Switch targets to see the topology change.
Run the governed control plane as a managed, cloud-hosted deployment, with the model router reaching hosted and on-prem models.
- Scoped deployment planning
- Hosted or on-prem models subject to provider review
- Authorization, human review, and audit verified per release
Deploy inside your own datacenter or private cloud, with on-prem inference for sensitive data and your systems close at hand.
- Runs inside your network
- On-prem models for sensitive data
- Connect internal systems under policy
Designed to run fully disconnected, with no external calls, and designed for classification-aware workflows up to TS/SCI with CAC/PIV identity end to end. Accreditation is determined per environment.
- No external calls, by design
- Designed for classification-aware work up to TS/SCI
- CAC/PIV identity traceability
The same control plane, wherever you run.
Cloud, on-premise, or fully air-gapped, the governance architecture is designed to behave consistently, but authorization, human review, and execution-record controls must be verified again for each deployment. See security boundaries.
Get started
Deploy governed AI where you operate.
See the governed control plane run against your workflow, in your environment. From cloud to air-gap.