Foundation

Foundation forAI systems thatneed proof.

We enter the system before the expensive decisions harden: map the workflow, expose risk, design the control layer, and leave behind evidence operators can actually use.

3
Projects delivered
11
Security audits
8
Consulting cases
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Evidence dossiers

Projects with operating proof.

Each card below shows the business problem, the system boundary, the intervention, and the proof left behind.

Bring the system
before it becomes expensive.

We review agent runtimes, eval harnesses, artifact flows, and domain models when the risk is concrete enough to deserve serious architecture.