Domain Labs pilot
Twelve weeks. One workflow. The model is yours to keep.
An eight-to-twelve-week pilot on one workflow, in one facility, one team, or one product line. Measured against your own baseline. At the end, a reviewed-record archive and a tuned model you keep.
What you walk out with
Five things. All yours.
Tuned checkpoint. Regression set. Decision history. Training signal. Measurable curve. If AuraOne disappeared tomorrow, you still have all five.
A reviewed-record archive.
Every sign-off, every override, every regulator-facing artifact — kept on one record.
A tuned model you keep.
We start from a leading open-source model, fine-tune on your reviewed work, and hand you the weights.
Four metrics, on your terms.
Throughput. Review quality. Artifact acceptance. Model-quality improvement against your own baseline.
A calibrated review team.
Your specialists, our workflow, one shared rubric.
The paperwork your regulator reads.
Signed artifact in the language of your framework — FDA, SR 11-7, CAP/CLIA, DO-178C, whatever applies.
What we'll need from you
Five inputs. That's it.
- One workflow. One facility, team, or product line.
- The baseline your team measures itself against today.
- A workflow owner and a safety or regulatory owner.
- A representative data sample.
- An executive sponsor who can greenlight the rollout.
How the weeks run
Scoped. Reviewed. Kept.
- 1Weeks 1–2
Scope and ingest.
Define the workflow. Import baseline metrics. Stand up the review environment.
- 2Weeks 3–6
Run the workflow.
Your team reviews. Our system keeps the record. The starter model runs alongside.
- 3Weeks 7–10
Tune and measure.
Fine-tune on the reviewed set. Track model-quality improvement against your baseline. Assemble the signed artifact.
- 4Weeks 11–12
Hand over the record.
Reviewed archive. Tuned weights. Regression bank. Curve. Yours. Forever.
Your work. Your data. Your AI.
Run the workflow. Keep what improves. You keep the weights.