Human-in-the-Loop AI

Models drift in production, suppliers change pricing, and what worked at launch becomes a liability 6 months in. We build the lifecycle layer most teams skip.

How it works

• Evaluation suites that catch regressions before users do.

• Human-in-the-loop checkpoints on the decisions that matter.

• Version pinning with documented upgrade paths.

• A retirement plan for every model you depend on.

Output

1. A model registry your operators can run from.

2. A regression evaluation suite, runnable in CI.

3. Documented HITL checkpoints with audit trails.

4. A version and retirement schedule for every model in production.

Cost: TBC — engagement-based