Knit Health Raises $11.6M in Seed Funding

The company plans to use the funding to speed up the development and rollout of its Large Clinical Behavior Model (LCBM) across healthcare systems to improve clinical operations and patient care processes.

Many healthcare AI systems today rely on large language models trained mainly on text and medical research to support clinical decisions and operations. However, this approach often misses the real-world knowledge derived from how healthcare professionals actually work together, including referral patterns, scheduling habits, and the informal coordination that occurs within hospitals and health systems. This practical clinical knowledge plays a key role in improving patient outcomes by helping ensure patients receive the right care at the right time with the right information.

Knit Health is working to solve this problem by building its Large Clinical Behavior Model (LCBM) using Truveta EMR data from more than 130 million patients across 30 U.S. health systems. The model uses technologies such as deep reinforcement learning, causal inference, and behavioral cloning to learn from real clinician decision-making patterns. This helps healthcare providers improve operations and deliver faster, more personalized patient care.

Knit Health is designed to be fully HIPAA compliant, with strong governance, bias testing and continuous monitoring to provide reliable guidance to patients and healthcare providers. The company is working with health systems to deploy its early AI models for triage, patient flow management, and quality improvement. Through these partnerships, Knit aims to become a core technology platform supporting clinical decision making.

“Knit Health is creating a new approach to AI. Unlike traditional models, it learns, and evolves from real human behavior and can be applied across complex systems,” said Tripp Jones, General Partner at Uncork Capital. "This approach redefines how intelligence is captured, and scaled, opening entirely new possibilities for AI driven innovation in healthcare.”

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“The hardest challenge in healthcare isn’t knowing what good care looks like; it’s delivering it consistently for every patient,” said Navid Farzad, Managing Partner at Frist Cressey Ventures. “Knit Health’s model embeds the best clinical intelligence directly into the workflow helping clinicians make better decisions faster and more consistently. At scale, this will improve patient outcomes, and transform clinical operations across health systems.”

“Much of what matters most in medicine isn’t written in textbooks, it’s learned through experience with time and navigating the healthcare system,” said Jonathan Kolstad, Co-founder and CEO of Knit Health. “Across millions of patient journeys, clinicians develop patterns for what to do next and when. Knit learns from those real-world decisions, transforming collective clinical experience into intelligence that improves how the system works.”

About Knit Health

Founded in 2025 by Jon Kolstad and Maya Petersen, Knit Health develops AI technology designed to capture collective clinical intelligence and improve healthcare decision making. The founders, who are researchers and academics from the University of California, Berkeley, bring expertise in behavioral economics, causal inference, generative AI and healthcare. The company was created to use generative AI in a way that reflects the real world human behavior and collaboration that shape modern medicine.

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