Trust & security
Built for environments where the rules are strict.
We deliver inside regulated and security-conscious operations, including public-sector, utility, and clinical-research environments. Governance is part of the design, not a banner bolted on at the end.
How we deploy
Inside your boundary, on your terms.
Inside your environment
We build and run inside your own cloud accounts and tenancy, on secure and sovereign postures (AWS, OCI, and on-premise). The system lives where your data already lives.
Your data stays in your boundary
Agents act on your data in place. We do not move it outside your control to make the system work, and we do not train shared models on it.
Built to pass your security review
We work to recognized control frameworks and align with your existing posture. Security is part of the architecture from the first diagram, not a checkbox at the end.
Every action is on the record.
Forward-deployed means we work in your environment, on your data, inside your governance. Agents act, but a person approves anything consequential, and the whole trail is attributed so you can always see who did what.
Governance practices
The controls that earn a place in production.
These are defaults, not add-ons. They are how an AI system becomes something a regulated organization can actually run.
Track record
We have already cleared the hard part.
We deliver secure retrieval and agentic systems inside regulated data stacks, not in a sandbox. We have stood up systems inside a state audit office under its own security controls, a regulated electric utility, and a clinical-research environment with strict data-sovereignty requirements.
The compliance and integration work that stalls most AI projects is work we have done before. We will do it inside your security review too.
Security review
If your environment is regulated, we want to hear the constraints first. That is where we do our best work.