Cradle

What if you could get products to market in quarters, not years, by leveraging AI in protein engineering?

RecommendedCradle offers a robust, AI-powered protein engineering platform with unique wet lab validation, making it a powerful tool for accelerating and de-risking protein development in both biopharma and industrial sectors.

Cradle is an AI protein engineering software platform that helps scientists generate protein candidates and improve their properties. It leverages AI to accelerate R&D timelines by optimizing multiple protein properties simultaneously, adapting to experimental data, and designing de-risked plates.

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Key Features:
  • Multi-property optimization for simultaneous balancing of objectives (e.g., activity, stability, expression).
  • Automated model finetuning using public, proprietary wet lab, and project-specific data.
  • Intelligent plate design for balancing objective achievement, learning, and exploration.
  • Full API access for integrating with existing pipelines and automating workflows.
  • Wet lab validated AI, continuously improved in Cradle's in-house lab.
Pros
  • Biopharma R&D teams needing to accelerate drug discovery and lead optimization.
  • Industrial bio companies aiming to optimize enzymes, binders, or peptides for performance and manufacturability.
  • Scientists looking to solve complex multi-property trade-offs in protein design simultaneously.
Cons
  • Requires experimental data input to train and improve custom AI models effectively.
  • The platform's full benefits are realized with ongoing R&D programs and iterative experimentation.
  • While offering an academic program, the primary focus and pricing model appear geared towards enterprise and industrial use.
Pricing
enterprise
Categories:
Research & ScienceBusiness & Enterprise
Tags:
protein engineeringdrug discoverybiopharmaindustrial bioAImachine learningwet labbiologicsenzymespeptidesantibodies
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Quick Decision
Try if: You are a biopharma or industrial bio R&D team looking to significantly accelerate protein engineering timelines, optimize multiple protein properties simultaneously, and benefit from AI models validated by real-world wet lab data.
Skip if: You are a small research group or individual without a continuous stream of experimental data, or your primary need is purely theoretical in silico protein design without a strong emphasis on wet lab validation.
Not for: Individuals or small labs without significant experimental data or protein engineering projects.; Organizations primarily focused on in silico drug discovery without wet lab validation needs.
Trust Signals

  • Team Size

    large

  • Funding

    IVP, Index Ventures, and Kindred Capital
Compliance
SOC 2 Type IIGDPR
Notable Customers
Novo NordiskargenxAbbVieJohnson & JohnsonNovonesis
Tech Details
Platforms
webapi
Open Source
No
Support
Channels
emailtalk to sales expert
Company

  • Name

    Cradle Switzerland AG

  • Location

    Zurich, Switzerland (with offices in Amsterdam and Boston)

Cradle is building on the latest technological breakthroughs in AI to help scientists decode and rewrite biology, unlocking new food sources, materials, and therapeutics. They operate with a unique model, combining a software platform with an in-house wet lab for continuous AI model validation and improvement.

FAQ

What makes Cradle different from other AI protein engineering companies?

Cradle differentiates itself by operating its own wet lab in Amsterdam, which is used to continually improve its AI models through rigorous A/B testing and the generation of large datasets. This ensures the AI models are built on real experimental feedback and are trustworthy for scientists.

Can Cradle be used for both biopharma and industrial applications?

Yes, Cradle is designed for both biopharma and industrial bio applications. It helps biopharma teams accelerate drug discovery and lead optimization, while industrial teams can use it to engineer enzymes, binders, and peptides for various products and processes.

How does Cradle ensure the security and privacy of my data?

Cradle is SOC 2 Type II certified and GDPR compliant. It implements enterprise-grade security controls, including data encryption (AES-256 at rest, TLS 1.2+ in transit), strict access controls with MFA and RBAC, and data isolation between customer workspaces. Your experimental data is only used to train your organization's custom models.

Is there an academic program available for Cradle?

Yes, Cradle offers a limited availability academic program that provides unpaid access to the platform for non-commercial research use. It includes publication rights and direct access to the API and/or UI with expert support.

What kind of data can I use to train Cradle's AI models?

Cradle works with various experimental data formats, including NGS data from screening campaigns, raw experimental results from downstream assays, and even historical data. You can start a new program with as little data as a single sequence, and the models learn and improve with every round of uploaded lab results.

Use Cases
  • Biopharma R&D teams needing to accelerate drug discovery and lead optimization.
  • Industrial bio companies aiming to optimize enzymes, binders, or peptides for performance and manufacturability.
  • Scientists looking to solve complex multi-property trade-offs in protein design simultaneously.
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