Knit Health develops an AI infrastructure layer and a Large Clinical Behavior Model (LCBM) that learns from real-world clinician decision-making patterns using behavioral cloning and causal inference. Its LCBM is trained on EMR data from over 130 million patients across 30 U.S. health systems. The company focuses on automating complex care routing, triage, and discharge predictions to optimize clinical operations and patient care pathways. Knit Health is a UC Berkeley spin-out led by co-founder and CEO Jonathan Kolstad and is based in San Francisco, California. It has achieved full HIPAA compliance and is actively partnering with major U.S. health systems to deploy initial models for automated patient flow and quality improvement. The recent seed funding is intended to accelerate further development and deployment of its models across health systems.

Total raised

$12M

Funding rounds

2

Latest round

Seed

Latest activity

May 2026