Knit Health
Knit Health Technologies, Inc. is a healthcare AI company spun out of the University of California, Berkeley, building what it calls a Large Clinical Behavior Model (LCBM) — a healthcare-native intelligence layer trained on real clinical decision patterns rather than text alone. Where conventional clinical AI is built on large language models trained on medical literature, Knit learns from the actions of practicing clinicians captured in electronic medical records: referral decisions, scheduling behavior, patient routing, discharge timing, and care coordination. The model is trained on Truveta EMR data representing more than 130 million patients across 30 U.S. health systems, using deep reinforcement learning, causal inference, and behavioral cloning, then fine-tuned to an individual health system's own practice patterns. Knit sells to health systems as an enterprise intelligence platform spanning intelligent specialist routing, predictive patient flow, optimized care team allocation, clinical variation insight, and proactive care recommendations. The company launched from stealth in May 2026 with an $11.6M seed round co-led by Uncork Capital and Frist Cressey Ventures, following a pre-seed led by Moxxie Ventures with Coalition Operators. Knit states that its engineers work alongside customer teams to design and deploy APIs tailored to each health system; as of this profile there is no public developer portal, API documentation, or self-serve API surface.
Index entry only — little beyond a description and a link, and nothing machine-readable enough for an agent to act on without a human reading the site first.
API Evangelist profiles Knit Health the way a machine reads it — 1 machine-readable artifact, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Knit Health scores 11.2/100 (minimal), with a separate agent-readiness read of 0/100 (human only). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile Knit Health
Each block below is one kind of artifact we hold for Knit Health. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
Security Posture 1
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Every other property we hold for Knit Health — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Access & Security 1
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Commercial 1
Pricing, plans, and the legal terms of use
Company 4
The organization behind the API
Other 1
Properties that don't map to a standard resource type
← All providers · Data indexed from github.com/api-evangelist/knit-health · machine-readable index on apis.io