Knit Health, a San Francisco, CA-based health tech company developing collective clinical intelligence, has launched out of stealth with $11.6 million in Seed funding.
Investors
The round was co-led by Uncork Capital and Frist Cressey Ventures.
Uncork Capital is a seed-stage venture firm backing exceptional founders from the earliest stages, investing in AI-native companies shaping the future. The firm focuses on AI, SaaS, infrastructure, consumer, and frontier technology companies.
Frist Cressey Ventures is a venture capital firm focused on accelerating the growth of companies transforming healthcare. Founded in 2016, the firm invests in early- and growth-stage healthcare technology and tech-enabled services companies that improve care delivery, patient outcomes, affordability, and operational efficiency across the healthcare system.
Knit Health Use of Funds
The company will use the funding to accelerate the development and deployment of its Large Clinical Behavior Model (LCBM) across healthcare systems to improve clinical operations and patient care.
About Knit Health
Founded in 2025, Knit Health is a healthcare technology company building AI that captures collective clinical intelligence to serve as infrastructure for better healthcare. Spun out of the University of California, Berkeley, the company leverages its proprietary Large Clinical Behavior Model (LCBM) to analyze EMR data from 30 U.S. health systems and optimize workflows such as triage, patient flow, referrals, and care coordination. Headquartered in San Francisco, California, Knit Health is built with full HIPAA compliance and is currently partnering with healthcare systems on initial deployments focused on operational efficiency and care delivery optimization.
Funding Details
Company: Knit Health Technologies, Inc.
Raised: $11.6M
Round: Seed
Funding Date: May 2026
Lead Investor: Uncork Capital, Frist Cressey Ventures
Additional Investors: Moxxie Ventures, Coalition Operators
Company Website: https://www.knit.health/
Software Category: Healthcare AI / Clinical Intelligence Platform
Source: https://www.businesswire.com/news/home/20260512133959/en/