# Unlearn

**Canonical:** https://apis.io/providers/unlearn/  
**Website:** https://unlearn.ai  
**APIs profiled:** 0

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.

## Kin Score — 11.5 / 100 (emerging)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 11.5).

| Facet | Score |
|---|---|
| Discoverability | 57.4 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 2.6 |
| Developer Ergonomics | 7.1 |
| Commercial Clarity | 21.1 |
| Access Clarity | 21.1 |

Regulatory layer — **Health**: 17.5 (matched via tags).

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## Security (1)

- **Unlearn Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Biotech, Artificial Intelligence, Clinical Trials, Digital Twins, Machine-Learning, Healthcare

---

Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/unlearn/). Scores are computed from the provider's own public artifacts under a published rubric.