Compliance & Validation — Not documented by Atlas
Ask the vendor: Which compliance certifications (HIPAA, 21 CFR Part 11, SOC 2, GxP) do you hold?
Chai Discovery
AI research company building foundation models (Chai-1, Chai-2) for molecular structure prediction and biologics design.
Chai Discovery, founded in 2024 and headquartered in San Francisco, California, builds frontier foundation models for biomolecular structure prediction and de novo biologics design — Chai-1 for structure prediction and Chai-2 for antibody and binder design — offered through a web platform and API, with some model access provided for non-commercial research. The company is backed by prominent AI investors. No third-party security certifications were documented on public pages at profiling time.
- Headquarters
- San Francisco, United States
- Founded
- 2024
- Deployment options
- cloud
- Website
- https://www.chaidiscovery.com
Categories
AI Use Cases
- Hit Identification & Lead Optimization
Vendor Scorecard
50% — Partial coverage. Coverage score — how completely Atlas documents Chai Discovery across 7 buyer-evaluation areas. Reflects available Atlas data, not solution quality.
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
Biotech Startup, Mid-Size Biotech, Large Pharma, Drug Discovery, R&D Leadership
Solution Scope — Documented
Molecular Generation, Protein Structure Prediction
Company Viability — Partially documented
Series C, Founded 2024
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
- What are the licensing terms for commercial versus research model use?
- How does Chai-2 binder-design performance compare on our target classes?
- How is proprietary structure data protected when using the API?
- What validation supports reported design success rates?