Trial Library

AI platform delivering clinical trials as a care option to expand equitable access to precision oncology.

Trial Library, founded in 2022 and headquartered in San Francisco, California, builds an AI platform that helps deliver clinical trials as a care option, working with biopharma manufacturers, payers, and health systems to expand equitable access to precision oncology. The company raised a $10M Series A. Trial Library documents on its own site that it has achieved SOC 2 Type 2 (third-party audited with no noted exceptions) and HIPAA compliance.

Headquarters
San Francisco, United States
Founded
2022
Compliance
SOC 2 Type II, HIPAA
Deployment options
cloud
Website
https://www.triallibrary.com
LinkedIn
https://www.linkedin.com/company/triallibrary

Categories

AI Use Cases

  • Patient Recruitment & Enrollment

Vendor Scorecard

64% — Partial coverage. Coverage score — how completely Atlas documents Trial Library across 7 buyer-evaluation areas. Reflects available Atlas data, not solution quality.

Compliance & Validation — Documented

SOC 2 Type II, HIPAA

Deployment & Hosting — Documented

cloud

Pricing Transparency — Not documented by Atlas

Ask the vendor: What is your pricing model, and what drives total cost of ownership?

Implementation & Onboarding — Not documented by Atlas

Ask the vendor: What is a realistic implementation timeline, and what onboarding support is included?

Organization & Role Fit — Documented

Mid-Size Biotech, Large Pharma, Top 20 Pharma, Clinical Operations, Medical Affairs

Solution Scope — Documented

Natural Language Processing, Patient Recruitment

Company Viability — Partially documented

Series A, Founded 2022

Always ask the vendor

Not captured in Atlas data — confirm directly. Excluded from the score above.

Data Rights & IP

Who owns model outputs? Is our proprietary data used to train models others can access, and where does our data reside?

Model Credibility & Explainability

Can you share validation studies or benchmarks, explain how the model reaches its conclusions, and describe how bias and drift are monitored?

Questions to Ask This Vendor

  • How does the platform surface trial options within an oncology care workflow?
  • What data sources drive patient-trial matching for our indications?
  • Can you share the current SOC 2 Type 2 report under NDA?
  • Which health-system or sponsor partnerships can serve as references?