Mozu The full context on how clinics operate.
A clinic visit is more than a conversation. Our datasets capture care at three levels:
- The conversation between doctor and patient
- The administrative work that runs the clinic
- The patient records and outcomes that follow
Diverse types of clinical care.
Each specialty works differently. To succeed at long-horizon tasks, models need to train on how care unfolds within each one. Mozu builds datasets across telehealth primary care, Emergency Medicine, dermatology, psychiatry, and Japanese Medical Terminology, with new specialties added regularly.
Real World Data
Large de-identified patient record datasets that map SOAP notes to real world care. Used for pretraining and evaluation.
Reinforcement learning
Clinical and administrative tasks with feedback grounded in the decisions and outcomes that follow an encounter.
Benchmarks and evaluations
Tests designed around meaningful clinical work. Typically by specialty or by type of clinic/hospital.
Expert data
Data created and graded exclusively by medical doctors with the relevant clinical specialty experience for the dataset being built.
Mozu datasets
Ready to license datasets drawn from real clinical care, with patient interactions, patient records, clinician decisions, and outcomes.
Request dataset samplesCustom data development
Datasets, evaluations, and benchmarks built to your specification, collected from clinical practice or created by experts.
Talk to the team