Four practices. One engineering bar.

We staff embedded squads across the four engineering disciplines that move clinical AI
from research notebook to production deployment. Each engagement combines
them as needed.

Segmentation, classification, detection, and predictive modeling across imaging, signals, EHR, genomics, and multi-modal clinicaldata. From annotation pipelines to FDA-ready evaluation.

Clinical copilots, structured note extraction, multi-agent workflows for ops andintake. Grounded, evaluated, and red-teamed for medical accuracy.

Scalable training and inference for longitudinal cohorts. MLOps, feature stores,model registries production hygiene for clinical-grade ML.

Full-stack product teams that ship: EHR integrations, clinician portals, patient-facing apps. Ten-plus years of regulated-software craft.