SORAMEDAI is a private network of highly qualified physicians who evaluate the medical outputs of frontier AI — the responses, ratings, scribe notes and safety calls that real patients will eventually meet.
Better Data. Better AI. Better Patient Outcomes.
Crowd labelers rate fluent, confident answers as safe. A warfarin patient asking about ibuprofen gets a green check. A 78-year-old with confusion and fever gets routed to a GP visit next week. The model looks good in eval. The harm shows up in production.
Three USMLE-qualified physicians review each task independently. They never see one another's answers. A senior MD adjudicates every disagreement. Nothing ships unchecked, and the audit trail is built for regulators — not bolted on after.
Each year, thousands of Pakistani doctors pass USMLE Steps exams but do not match into US residency. They have the training, the drug knowledge and the standard of care — and almost nowhere to apply it. SORAMEDAI gives that talent a clinical surface for the AI shaping the next decade of care.
Every project ships with auditable inter-annotator agreement, a written clinical analysis of your model's failure modes, and a delivery file your safety team can submit as evidence. FDA, EU AI Act and procurement teams are all converging on the same bar — physician-validated review.
Doctors rate AI-generated medical responses across accuracy, safety, completeness, and clinical reasoning.
Side-by-side ranking with written clinical reasoning — direct training signal for safer model behavior.
Physicians deliberately probe for missed contraindications, dosage errors, and edge-case failure modes.
AI scribe notes, discharge summaries and referral letters reviewed for clinical accuracy and completeness.
Send us your most ambiguous AI medical outputs. We'll send back the consensus, the disagreements, and the clinical reasoning behind both. Start the pilot →