Cradle Bio

AI protein engineering platform that designs and optimizes proteins with generative models, validated in an in-house wet lab.

Cradle Bio (Cradle Bio B.V.), founded in 2021 and headquartered in Amsterdam, Netherlands with offices in Zurich and Boston, provides a software platform for protein engineering: generative AI proposes sequence variants that a wet-lab loop validates before optimization. Its trust center documents a SOC 2 Type II report and GDPR compliance, and describes ISO 27001 as adopted/aligned rather than independently certified — request the certificate if ISO 27001 is a requirement. Engagement is a licensed software product rather than a discovery-services partnership.

Headquarters
Amsterdam, Netherlands
Founded
2021
Compliance
SOC 2 Type II, GDPR
Deployment options
cloud
Website
https://www.cradle.bio
LinkedIn
https://www.linkedin.com/company/cradlebio

Categories

AI Use Cases

  • Hit Identification & Lead Optimization

Vendor Scorecard

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

Compliance & Validation — Documented

SOC 2 Type II, GDPR

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

Protein Structure Prediction

Company Viability — Partially documented

Series B, Founded 2021

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

  • Is ISO 27001 independently certified, or aligned-but-not-certified as stated?
  • How does the wet-lab validation loop factor into project timelines?
  • How is IP ownership of generated sequences handled?
  • What protein classes have the most model training data?