Unlearn

Unlearn is a San Francisco AI company that builds digital twin generators for clinical trials — machine learning models trained on patient-level historical data that forecast an individual participant's clinical outcomes under control or standard of care. Sponsors use these AI-generated digital twins to plan trials, monitor clinical data, and run smaller, more powerful studies; the approach is qualified by the EMA and aligned with current FDA guidance. Unlearn is backed by 8VC and DCVC and publishes no public developer API.

Unlearn is profiled on the APIs.io network. Tagged areas include Company, Biotech, Artificial Intelligence, Clinical Trials, and Digital Twins.

Unlearn’s developer surface includes engineering blog, support, and 6 more developer resources.

15.6/100 emerging ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5
0 APIs
CompanyBiotechArtificial IntelligenceClinical TrialsDigital TwinsMachine LearningHealthcare

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 15.6/100 · emerging
Contract Quality 0.0 / 25
Developer Ergonomics 1.3 / 20
Commercial Clarity 4.2 / 20
Operational Transparency 0.7 / 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
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/unlearn: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Security Posture 1

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Unlearn Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

Build 1

SDKs, sample code, and the tooling you integrate with

Access & Security 1

Authentication, authorization, and security posture

Operate 1

Status, limits, changes, and where to get help

Commercial 2

Pricing, plans, and the legal terms of use

Company 2

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
aid: unlearn
name: Unlearn
description: Unlearn is a San Francisco AI company that builds digital twin generators for clinical trials — machine learning
  models trained on patient-level historical data that forecast an individual participant's clinical outcomes under control
  or standard of care. Sponsors use these AI-generated digital twins to plan trials, monitor clinical data, and run smaller,
  more powerful studies; the approach is qualified by the EMA and aligned with current FDA guidance. Unlearn is backed by
  8VC and DCVC and publishes no public developer API.
url: https://raw.githubusercontent.com/api-evangelist/unlearn/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- 8vc
- dcvc
x-tier: stub
x-tier-reason: portfolio-lead
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-21'
image: https://avatars.githubusercontent.com/u/27824185?v=4
tags:
- Company
- Biotech
- Artificial Intelligence
- Clinical Trials
- Digital Twins
- Machine Learning
- Healthcare
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://unlearn.ai
- type: Blog
  url: https://www.unlearn.ai/blog
- type: GitHubOrganization
  url: https://github.com/unlearnai
- type: Support
  url: https://www.unlearn.ai/forms/contact-us
- type: TermsOfService
  url: https://www.unlearn.ai/terms
- type: PrivacyPolicy
  url: https://www.unlearn.ai/privacy
- type: LLMsTxt
  url: llms/unlearn-llms.txt
- type: DomainSecurity
  url: security/unlearn-domain-security.yml
x-enrichment:
  date: '2026-07-21'
  status: minimal
  artifacts_added: 3
  pass: local-v1