Cradle is an AI-powered protein engineering tool that helps scientists generate and optimize protein candidates faster. It leverages machine learning to guide experimental design and improve protein properties.
Cradle is an advanced AI platform designed for protein engineering, enabling scientists to accelerate the discovery and optimization of protein candidates. The tool uses machine learning to generate novel protein sequences and predict their properties, significantly reducing the number of experiments needed. Users can upload their experimental data, which Cradle then analyzes to refine its models, leading to increasingly performant variants. It supports co-optimization of multiple properties like binding affinity, specificity, activity, and stability, across various protein types including antibodies, enzymes, vaccines, and peptides. Cradle ensures data privacy and security, with user data remaining proprietary and never used to train models for other organizations.
Best used for
Ideal for biopharma and industrial bio R&D teams who need to accelerate protein discovery, optimize multiple protein properties simultaneously, and reduce experimental timelines. Especially valuable for developing therapeutics, agricultural solutions, and food ingredients with enhanced performance and stability.
Common actions
engineer proteins
optimize protein properties
generate protein candidates
analyze experimental data
accelerate R&D
"Therapy"food industriesprotein engineeringintellectual propertyprotein designmachine learningchemicalsdata securitybioengineeringbio-materials+ 2 more
Capabilities
Key features
AI-driven protein candidate generation
Multi-property optimization
Experimental data integration
Performance tracking and reports
Secure data handling
Custom predictor integration
Target Audience
data scientiststartup founderdeveloper
Integrations
Not yet documented
Pricing & Plans
Likely Not Free · Enterprise
Basic Plan
FAQs
How does Cradle ensure the privacy and security of my protein data?
Cradle guarantees that your sequences and data remain private and secure. Your data is never used to train models for other organizations, and you retain full ownership of your intellectual property. The platform is SOC 2 compliant and protected by bank-grade security measures.
What types of proteins can be optimized using Cradle?
Cradle is built to work with any protein type and optimize various properties. This includes antibodies for mature binders, enzymes for accelerated catalytic conversions, vaccines for antigen stabilization, and peptides for desired efficacy and stability. If you can measure it, you can optimize it.
How does Cradle integrate with existing lab workflows?
Cradle allows you to design candidates within the platform and then validate them in your own lab or with a CRO. You can upload wet lab data from screening or optimization experiments, and the platform learns from every round, continuously improving its models to guide your next experiments.
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