Research

From the Lab

What we are proving in the lab, written so a technical leader can reuse the method.

When to run models on hardware you ownThree tests: leak, swap, outage. Fail one, and a hosted model is a concentration. Pass all three, and an API is still allowed.
Model provenance and weight hashingModel cards can be copied. Weights can be swapped. Hash what you load, pin it, and log the digest — or admit you cannot name what ran.

Put AI to work. Keep control of what matters.

Five engagements. Start with the problem in front of you: the architecture, one department, the whole organization, the stack you already run, or the work after launch.

Architecture ReviewSee what is running, where control is thin, and what has to change before you invest further.

Department DeploymentGoverned AI for one department and one real use case, on infrastructure you control.

Enterprise RolloutOne governed stack across the organization, on infrastructure you control.

Governance OverlayClearer controls and a verifiable record on the stack you already run.

Managed OperationsHardening, training, and engineering after launch, scoped to the engagement.