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New clinical training data

1. 1

   Data-spec discovery

   1–2 weeks

   We discuss your data needs and the gaps you want to fill: formats, size, deadlines, budget, SFT/RLHF intent, clinical domain, and regulatory requirements. Then we return representative samples to assess.

2. 2

   Data curation

   4–6 weeks

   We source, contract, and curate the proprietary data you requested through our network of hospitals, clinics, domain experts, and contractors — shipping samples as we go so you can course-correct before the full delivery.

3. 3

   Data feedback

   1–3 weeks

   We deliver the complete dataset to your spec via your preferred method. You fully evaluate it; anything that fails your acceptance criteria, we update or supplement — with no warranty cap on remediation rounds until you sign off.

Already have data? Remediation & enhancement

1. 1

   Diagnostic sprint

   1–3 weeks

   With your permission we audit your existing data and model behavior — demographic coverage, label quality, edge-case failure modes, regulatory-readiness gaps — and hand back a written assessment and a prioritized remediation plan.

2. 2

   Embedded data partnership

   3–5 weeks

   We work alongside your team to clean, enhance, and augment your training data and to build the evaluation harness around it. Deliverables are versioned datasets, validation reports, and model checkpoints your team owns.

3. 3

   Continuous data & evaluation infra

   ongoing

   As your model matures, engagements shift from project work to recurring, versioned data products and an always-on expert-in-the-loop evaluation layer that keeps you aligned with evolving clinical standards and safety requirements.