Knit Health launches from stealth with $11.6M to build AI trained on real clinician behavior

Hospitals generate mountains of data every day. Most AI systems only read the written parts. Knit Health thinks the real value lies elsewhere: in the decisions doctors and care teams make every hour behind the scenes.

The University of California, Berkeley spinout launched out of stealth on Tuesday with $11.6 million in seed funding to build AI models trained on real clinician behavior instead of medical literature alone. The round was co-led by Uncork Capital and Frist Cressey Ventures. Moxxie Ventures led the company’s pre-seed round, with participation from Coalition Operators.

Healthcare has become one of the busiest markets for generative AI startups, with companies racing to build copilots, scribes, and clinical assistants on top of large language models. Most rely heavily on text pulled from research papers, medical documentation, and patient notes.

Founded in 2025, Knit Health was created by a group of University of California, Berkeley researchers and academics with backgrounds spanning behavioral economics, causal inference, healthcare, and generative AI. The startup’s long-term goal is ambitious: to become the intelligence layer sitting underneath the daily operational decisions hospitals make across the U.S.

UC Berkeley spinout Knit Health raises $11.6M to build a new kind of healthcare AI

Knit Health is taking a different route. Its Large Clinical Behavior Model, or LCBM, is trained on patterns inside real hospital systems: referral decisions, scheduling behavior, patient routing, discharge timing, care coordination, and the unwritten habits clinicians develop over years of practice.

The company says its model is trained on Truveta EMR data spanning more than 130 million patients across 30 U.S. health systems. The platform uses reinforcement learning, causal inference, and behavioral cloning to learn how clinicians actually make decisions in live care environments.

“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.”

That distinction matters. Healthcare systems often struggle less with medical knowledge itself and more with operational execution. Delays in referrals, inefficient patient flow, overloaded specialists, and inconsistent care coordination create bottlenecks that directly affect outcomes.

Knit Health wants its AI models to sit beneath those operational decisions. The company says its infrastructure can support triage systems, discharge predictions, referral management, care team allocation, and broader workflow optimization across hospitals.

The startup says its models can be fine-tuned to each health system’s referral dynamics, staffing constraints, and internal operating patterns, rather than relying on generalized outputs.

“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.”

Investors are betting that operational intelligence could become one of the next major layers in healthcare AI. Many current systems still function as assistants that generate text or summarize information. Knit Health is positioning itself closer to the decision infrastructure that helps health systems determine what happens next inside patient care workflows.

“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.”

The company says it operates with HIPAA compliance, governance controls, bias testing, and continuous monitoring as it works with health systems on early deployments focused on patient flow, triage, and quality improvement.