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https://cradle.bio/Cradle: AI Platform for Protein Engineering
Cradle is an artificial intelligence platform designed specifically for protein engineering, enabling researchers to accelerate the discovery and development of therapeutic proteins, enzymes, vaccines, and novel materials. The platform integrates AI-driven protein design with experimental feedback loops, allowing users to generate protein candidates, evaluate their properties, and iteratively optimize multiple attributes such as binding affinity, specificity, activity, stability, and expression — all within a secure, private environment.
A core strength of Cradle lies in its ability to compound results across rounds of experimentation. By learning from each round of wet-lab data, the platform’s models improve over time, enabling teams to achieve 2–12x faster development timelines compared to traditional methods. This iterative approach supports exploration of multiple design strategies simultaneously, reducing the risk of dead ends and strengthening intellectual property coverage through diverse candidate generation.
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Try ToolSuite NowThe platform is built for enterprise use, emphasizing privacy and data ownership. Cradle ensures that user sequences and experimental data remain private and are never used to train models for other organizations. It is SOC 2 compliant, employs bank-grade security protocols, and supports single sign-on for secure access management. Users retain full intellectual property rights, with no royalties — only a software subscription fee applies.
Cradle supports a wide range of protein types, including antibodies, enzymes, vaccines, and peptides. For antibodies, it helps craft mature, developable binders with low immunogenicity. For enzymes, it accelerates specific catalytic conversions even under challenging conditions. In vaccine development, it stabilizes antigens to hit therapeutic goals faster. For peptides, it balances efficacy with stability. The platform asserts that if a protein property can be measured, it can be optimized using Cradle.
Real-world use cases highlighted by Cradle include producing vaccine adjuvants without deforestation, engineering therapeutic peptides with a 50% success rate under tight multi-property constraints (5x faster than prior efforts), improving Staphylococcus aureus vaccine thermostability by 2.5°C in a single round (7x faster than rational design), and rescuing a stalled IgG campaign by generating 10 potent, developable candidates in just three rounds.
The interface is described as simple and user-friendly, suitable for researchers with varying levels of AI experience. However, effective use requires familiarity with protein engineering concepts and experimental design, as the platform assumes users can generate and measure relevant protein properties to guide the AI. It is not intended for users without a background in biochemistry, molecular biology, or related disciplines.
Access to Cradle’s full functionality requires a paid subscription. While the exact pricing is not disclosed on the website, the platform confirms that paid access is necessary for full use. The tool is currently available only in English.
Cradle positions itself as a solution for moving from incremental progress to transformative outcomes in protein engineering, helping biopharma and industrial biotech teams bring products to market in quarters rather than years. It is particularly suited for organizations aiming to optimize multiple protein properties in parallel, reduce experimental cycles, and strengthen their innovation pipelines through AI-guided design.
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