Cradle

Cradle is an AI-powered platform for protein engineering, enabling research teams to design and optimize proteins with fewer experiments. By training on your proprietary wet lab data, Cradle’s machine learning models generate novel protein candidates that co-optimize multiple properties such as activity, stability, and expression. It supports a range of protein types, including antibodies, enzymes, vaccines, and peptides. The platform guides users from data import through candidate generation, report analysis, and lab validation, all within a secure, privacy-first environment. Cradle is used by top biopharma and industrial biotech teams to accelerate development timelines and increase the success rate of protein engineering projects.

Key Features

• Multi-property co-optimization: simultaneously improve activity, stability, expression, and other traits
• Iterative learning: models improve with each round of uploaded experimental data
• Full-plate optimization: candidates are selected from millions of in silico designs to maximize lab success
• Privacy and security: proprietary data never used for other models; SOC 2 compliant; SSO support

Use Cases

• Engineering therapeutic peptides with high success rates under tight multi-property constraints
• Improving vaccine thermostability and antigen stabilization
• Accelerating enzyme catalytic conversions in challenging conditions
• Developing antibodies with desirable binding and immunogenicity profiles

Who It’s For

• Biopharma R&D teams performing lead optimization
• Industrial biotech teams developing products in agriculture, food ingredients, and materials
• Protein engineers and synthetic biology researchers seeking to reduce wet lab iterations