Cradle: AI-Powered Protein Engineering Platform

Cradle is an AI-powered protein engineering platform built to help biologists and scientific teams design, optimize, and validate proteins with greater speed and precision. By combining predictive algorithms with intelligent design suggestions, Cradle accelerates the iterative cycle of protein engineering, allowing researchers to move from concept to lab-ready candidates in less time than traditional methods allow. The platform supports multi-property co-optimization, meaning teams can simultaneously balance factors like activity, binding affinity, and stability rather than optimizing one trait at a time. Cradle continuously learns from new experimental data, refining its predictive models with every round of lab feedback to improve accuracy over time. This makes it valuable across a wide range of applications, from therapeutic antibody development to enzyme engineering for industrial or agricultural use, as well as food ingredient innovation. Beyond design generation, Cradle offers robust tracking and reporting tools so teams can monitor candidate performance, review round status, and analyze results in a centralized workspace. With a strong emphasis on data privacy, Cradle ensures that proprietary sequences and experimental data remain secure and exclusively owned by the user, backed by bank-grade security protocols and an in-house wet lab used to validate model performance.

1. Import your existing experimental data into Cradle. 2. Define your optimization goals and relevant assays. 3. Use Cradle's AI-driven design engine to generate new protein candidates. 4. Review predictive performance scores to identify top candidates. 5. Send selected sequences to the lab for experimental validation. 6. Feed new assay results back into Cradle so the model continues learning and improving with each round.