Instruction datasets
Specialty-aware tasks, answers, rationales and tool-use trajectories.
Solution / Post-training
Expert data for safer clinical behaviour.
Teach models to follow instructions, express uncertainty, use evidence and recognise the boundaries of safe clinical support.
SFTExpert responses
PREFERENCERank + critique
RED TEAMRisk scenarios
01
Alignment data
Clinical judgement in the loop.
We match tasks with appropriately qualified contributors and convert real-world expertise into consistent training signals.
Preference & critique
Rubric-based comparison of factuality, relevance, reasoning and safety.
Agent workflows
Multi-step scenarios across records, evidence, guidelines and escalation.
02
Safety
Find the failure modes before users do.
Evaluation suites probe hallucination, omission, unsafe certainty, demographic bias and context-handling failures.
Clinical red teaming
Adversarial prompts designed with healthcare subject-matter experts.
Error taxonomy
Structured root-cause labels that translate directly into model improvement.
Regression sets
Versioned evaluation assets for repeatable release decisions.
Start with the specification
Bring us the hard data problem.
Share your modalities, target population, quality thresholds and delivery window. Our team will return a structured programme approach.
Talk to our bid team →