Cradle

Cradle is an AI-powered platform specifically designed for protein engineering and optimization. It helps scientists generate novel protein candidates and systematically improve their properties by leveraging machine learning models that learn from experimental data. The platform guides researchers through the entire design-test-learn cycle, from generating initial candidates to analyzing lab results and planning the next optimization round.

What sets Cradle apart is its ability to co-optimize multiple protein properties simultaneously—such as binding affinity, specificity, activity, stability, and expression—turning complex trade-offs into optimized solutions. The system becomes smarter with each round of experimental data you provide, creating a compounding effect where each iteration builds on previous learnings. This approach helps research teams achieve breakthroughs faster, with some users reporting 2-12x faster development timelines compared to traditional methods.

The platform is particularly valuable for biotech researchers, pharmaceutical scientists, and protein engineers working on therapeutic antibodies, enzymes, vaccines, and peptides. Major organizations like Bayer, Johnson & Johnson, and Novo Nordisk use Cradle to accelerate their R&D programs, moving products to market in quarters rather than years. It's especially useful for teams looking to explore multiple design strategies simultaneously and strengthen their IP portfolio while reducing experimental costs.