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.

Knit Health is profiled on the APIs.io network. Tagged areas include Company, Health, Healthcare, Artificial Intelligence, and Machine Learning.

Knit Health’s developer surface includes engineering blog and 8 more developer resources.

🌐 Visit website 📡 Source on GitHub

11.2/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5

0 APIs

CompanyHealthHealthcareArtificial IntelligenceMachine LearningClinical IntelligenceElectronic Health RecordsHealth SystemsCare CoordinationEnterprise

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scored 2026-07-27 · rubric v0.5

Composite quality — 11.2/100 · minimal

Contract Quality 0.0 / 25

Developer Ergonomics 0.4 / 20

Commercial Clarity 2.1 / 20

Operational Transparency 0.0 / 13

Governance 0.0 / 12

Discoverability 6.8 / 10

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 15

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

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Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Contact

Contact

Commercial 1

Pricing, plans, and the legal terms of use

PrivacyPolicy

PrivacyPolicy

Company 4

The organization behind the API

Website

Website

Blog

Blog

LinkedIn

Careers

Careers

Other 1

Properties that don't map to a standard resource type

Models

Models

Source (apis.yml)

aid: knit-health
name: Knit Health
description: '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.'
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://cdn.prod.website-files.com/69a5d08b91d4e7178ca8b64b/69bc3d66a177838f0883c144_WEBCLIP.png
url: https://raw.githubusercontent.com/api-evangelist/knit-health/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- uncork-capital
x-tier: stub
x-tier-reason: no-public-api
x-legal-name: Knit Health Technologies, Inc.
x-founded: '2025'
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- Health
- Healthcare
- Artificial Intelligence
- Machine Learning
- Clinical Intelligence
- Electronic Health Records
- Health Systems
- Care Coordination
- Enterprise
apis: []
common:
- type: DomainSecurity
  url: security/knit-health-domain-security.yml
- type: Website
  url: https://www.knit.health/
- type: Blog
  url: https://www.knit.health/blog
- type: Contact
  url: https://www.knit.health/contact
- type: PrivacyPolicy
  url: https://www.knit.health/privacy
- type: LinkedIn
  url: https://www.linkedin.com/company/knit-health-technologies
- type: UseCases
  url: https://www.knit.health/#use-cases
- type: Models
  url: https://www.knit.health/ai
- type: Careers
  url: https://job-boards.greenhouse.io/knithealth
- type: LLMsTxt
  url: llms/knit-health-llms.txt
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence