
Deployments
On your servers, your private cloud, or a hybrid split, with data staying inside your boundary.
Where it runsEvery system we ship stands on the same foundations: orchestration you can inspect, a review queue your people control.

Each step of a workflow is a named, logged action. You can read what ran and why.
Anything consequential waits for a person. Who approves what is written down before go-live.
Every run leaves a trail your team can open: inputs, decisions, the reviewer, the outcome.

On your servers, your private cloud, or a hybrid split, with data staying inside your boundary.
Where it runs
Where agents are built, tested and kept accountable, with your team in the room.
How agents are builtYou do not need to read code to know what the system did.
The runtime and the models it needs are installed inside your environment. Nothing leaves unless you decide.

Recordings, documents and records are stored where you keep them today. We design around that.

Every change to a workflow or a prompt is a version with a diff and a reviewer.

We stay after launch to watch real load, fix what breaks and re-version what does not fit.

The people who build your system also publish what they find in other people's. The same discipline applies here.
Credited by NVIDIA PSIRT: CVE-2026-24148, 9.4 Critical (NIST) / 8.3 High (NVIDIA CNA)

You own the code, the data and the ability to change it without us. No per-seat tax.
How an engagement runsNo. It is a stack we install on your infrastructure and hand over. You pay for the engagement, not per seat.
Yes. Everything is versioned and documented for handover. Nothing in the architecture requires an ongoing retainer.
A person sees it before it matters. Consequential actions wait in a review queue and the run is logged.

We will tell you honestly whether an agentic system is the right fix, and what we would sign to.
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