Knit Health, a health technology spin-off from the University of California, Berkeley, has officially emerged from its development phase with an impressive $11.6 million in seed funding. The funding round was jointly led by Uncork Capital and Frist Cressey Ventures, with Moxxie Ventures spearheading the pre-seed phase, and additional contributions from Coalition Operators. This financial boost will enable Knit Health to further advance its Large Clinical Behavior Model (LCBM) across various healthcare systems, enhancing clinical operations and patient care outcomes.
Current AI applications in healthcare predominantly depend on large language models that have been mainly trained on text and published research. This conventional methodology fails to account for the vital collective clinical intelligence—such as the real-world decision-making processes, referral patterns, and scheduling practices—that clinicians employ within intricate healthcare systems. Understanding these elements is crucial for ensuring that patients receive timely, appropriate care accompanied by accurate information.
Knit Health aims to bridge this gap by utilizing data from Truveta EMR, encompassing over 130 million patients across 30 health systems in the United States. By leveraging deep reinforcement learning, causal inference, and behavioral cloning, the LCBM directly derives insights from clinicians' decision-making behaviors and integrates them into care delivery and operational workflows, facilitating timely and tailored patient care.
Jonathan Kolstad, Co-Founder and CEO of Knit Health, emphasizes the importance of experiential learning in medicine. "Much of what matters most in medicine isn't written in textbooks. It’s gleaned through understanding the healthcare system and learning from experience over time," he stated. "Knit learns from actual patient care pathways, translating collective clinical knowledge into actionable intelligence that enhances system effectiveness."
Knit Health distinguishes itself from conventional models in several fundamental ways:
- **Behavioral World Model Construction:** Unlike traditional systems that generate probabilistic outputs, Knit’s LCBM learns from actual sequences of clinical choices, mirroring the real dynamics of patient care.
- **Customization to Specific Health Systems:** The AI fine-tunes itself to align with the unique practice habits, capacity limitations, and referral structures of individual health systems, enabling seamless integration and immediate impact.
- **Infrastructure for Healthcare Systems:** Knit serves as an underlying layer for key healthcare decisions—ranging from patient routing to discharge predictions and team allocations—providing critical intelligence throughout the clinical workflow.
Tripp Jones, General Partner at Uncork Capital, highlights the innovative nature of Knit Health's strategy. "Knit Health is pioneering a new paradigm in AI by learning from genuine human behavior, adaptable across complex healthcare environments. This transformative approach reimagines how intelligence is captured and utilized, paving the way for groundbreaking advances in the healthcare sector."
Navid Farzad, Managing Partner at Frist Cressey Ventures, adds, "The main difficulty in healthcare is not recognizing high-quality care, but delivering it consistently to every patient. Knit Health’s methodology integrates top-tier clinical intelligence into everyday workflows, empowering clinicians to make quicker and better-informed decisions. Scaled effectively, this will enhance patient outcomes and revolutionize clinical practices."
Knit Health is committed to upholding HIPAA regulations, ensuring strict governance, bias assessment, and ongoing oversight to maintain trustworthiness among patients and providers. The company is collaborating with healthcare systems to roll out its initial models addressing triage, patient flow, and quality improvement, and aims to solidify its role as a foundational infrastructure within clinical decision-making frameworks.
For more information about Knit Health, visit their website.
Knit Health was established in 2025 by a knowledgeable team of researchers and academics from UC Berkeley, specializing in behavioral economics, causal inference, generative AI, and healthcare. Their collective vision seeks to leverage generative AI capabilities to reflect the intricate human behaviors and shared intelligence integral to the medical field.
