Cradle

Using advanced prediction algorithms and AI design suggestions, Cradle aids biologists in rapidly developing enhanced proteins.

About Cradle

Cradle is an AI platform designed for scientists and R&D teams working on protein engineering. It uses machine learning models that learn from users' experimental data to generate and optimize protein candidates, aiming to improve properties such as activity, stability, and expression. The tool supports a range of applications, including antibodies, enzymes, vaccines, and peptides, and is used by biopharma and industrial biotech organizations. Cradle emphasizes data privacy, with user data kept private and not used to train models for others. Pricing details are not disclosed on the website.

Best for: biopharma R&D teams, industrial biotech researchers, scientists in protein engineering

Key features

Uses AI models that learn from each user's experimental data to optimize protein properties.
Supports optimization of multiple protein properties such as activity, binding, stability, and expression.
Provides a fully managed AI infrastructure with scalable GPU resources.

Use cases

Designing and optimizing antibodies to reduce immunogenicity.
Accelerating enzyme engineering for specific catalytic conversions.
Improving vaccine antigen stability and therapeutic performance.
Enhancing peptide efficacy and stability for therapeutic applications.

Pros

User data is kept private and not shared for model training with others.
Supports a wide range of protein modalities including antibodies, enzymes, vaccines, and peptides.

Screenshots

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