Cradle Bio

Cradle is an AI-driven protein engineering platform for biopharma and industrial bio R&D teams. It combines generative AI with your proprietary experimental data to design and optimize proteins—antibodies, enzymes, vaccines, and peptides—by co-optimizing multiple properties like binding affinity, stability, expression, and activity. The platform's Guided Rounds feature embeds ML expertise directly into experiment design, while zero-shot antibody diversification lets you generate diverse variants without needing prior training data. With every wet-lab round, Cradle's models learn from your data, compounding gains and reportedly accelerating development timelines by 2–12x. The platform supports co-optimizing all the properties you care about, turning complex trade-offs into optimized solutions in fewer rounds. You can track round status from generation to experimental results, manage reports and data, and even integrate internally developed custom predictors (beta) to see outputs inside Reports. Cradle is built for enterprise use: your sequences and data remain private and never train models for others. It is SOC 2 compliant, supports Single Sign-On for Google and Microsoft, and retains full IP ownership—no royalties, just a software subscription fee. Cradle runs its own wet lab in Amsterdam to validate model reliability, with a team of scientists and ML experts providing dedicated support. Recently highlighted capabilities include plate-level batch optimization using probabilistic modeling and ML-driven variant selection, showing a systematic approach to protein engineering. Cradle is positioned for organizations that can provide experimental data and need secure, compounding multi-property optimization. While it lacks transparent public pricing and is less accessible for budget-constrained academic labs, its enterprise-grade security and scientific backing make it a credible choice for serious R&D teams.