Speed to autonomy.
Sample-efficient fine-tuning stacks from each lab. Minimal data, fast iteration.
Robust autonomy.
The Outcome Harness scores every step in production. A human is paged when something fails.
Model flexibility.
Swap models when a better one lands. Run different models for different tasks. No re-platforming, no vendor lock.
Custody, not extraction.
Your data enters the secure enclave under your control. The winning policy comes back to your robots. Neither side keeps the other's IP.
The Outcome Harness.
Success criteria checked at every stage, from training through production. Defined with the task. Verified at every stage. From training to deployment.
"My preference is not to give up proprietary data at all; if it ever makes sense to make that trade, the partnership would need to deliver clear technical results and strategic advantage — not just brand halo."
Don't have an ML or field ops team? We fill in.
Tell us what your team already has. The capability you're missing is what we provide.
| Hardware | Field Ops | ML | Service | What we provide |
|---|---|---|---|---|
| ✓ | ✓ | ✓ | Speed Support | Consultation from the team that has seen these calls play out across the ecosystem. |
| ✓ | ✓ | — | ML Consulting | Our team runs the fine-tuning work on your behalf and unblocks your engineers. |
| ✓ | — | ✓ | Field Operations | Remote teleoperators and deployment ops, on your data, in your enclave, under your supervision. |
| ✓ | — | — | The Works | A Forward Deployed Engineer (FDE) joins your team in the field — designs data collection, runs fine-tuning, ships the policy, operates the deployment. |
Field Ops = teleop / on-site engineers. ML = fine-tuning capability, in-house or contracted.