Data Types

Transform unstructured medical language into high-quality training data for LLMs, NLP, and clinical AI.

Extract clinically relevant features from voice, breath, and body sounds to build AI that listens like a physician.

Convert raw physiological signals like ECG, EEG, and PPG into structured datasets for diagnostic modeling.

Annotate surgical and clinical footage with frame-level accuracy to train AI that understands real-world care environments.

Label complex medical images—from X-rays to pathology slides—with pixel-perfect precision and clinical context.