# Unlearn

> Unlearn is a San Francisco AI company that builds digital twin generators (DTGs) 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 (reported 33% control-arm size reduction). The approach is qualified by the EMA and aligned with current FDA guidance. Unlearn is a platform company, not an API provider: it publishes no public developer API, SDKs, or machine-readable specs.

This file was generated by the API Evangelist enrichment pipeline (generated 2026-07-21, method: generated) from Unlearn's public website; the provider publishes no /llms.txt of its own.

## Platform

- [The Unlearn Platform](https://www.unlearn.ai/the-unlearn-platform): Connected platform for planning, monitoring, and analyzing clinical trials
- [Digital Twin Generators](https://www.unlearn.ai/digital-twin-generators): AI models that forecast individual disease progression
- [Digital Twins](https://www.unlearn.ai/digital-twins): How AI-generated digital twins strengthen trial analyses
- [Trial Planning and Simulations](https://www.unlearn.ai/trialplanningandsimulations): TrialPioneer workspace — literature/regulatory search, dataset exploration, scenario building
- [Advanced Trial Monitoring](https://www.unlearn.ai/advanced-trial-monitoring): Anomaly detection and clinical data surveillance
- [Clinical Trial Solutions](https://www.unlearn.ai/clinical-trial-solutions): Sponsor-facing trial solutions

## Company

- [Website](https://unlearn.ai): Company homepage
- [About](https://www.unlearn.ai/about): Company background
- [Research](https://www.unlearn.ai/research): The science behind digital twin generators
- [Evidence](https://www.unlearn.ai/evidence): Published evidence and trial results
- [Blog](https://www.unlearn.ai/blog): Company blog
- [Press](https://www.unlearn.ai/press): Press and news
- [Careers](https://www.unlearn.ai/careers): Open roles
- [GitHub](https://github.com/unlearnai): Public research code (archived genomics/ML repos; no SDKs)
- [Contact](https://www.unlearn.ai/forms/contact-us): Contact form

## Legal

- [Terms of Service](https://www.unlearn.ai/terms)
- [Privacy Policy](https://www.unlearn.ai/privacy)
- [Data Acknowledgements](https://www.unlearn.ai/data-acknowledgements)