What is Cradle?
Cradle is a cutting-edge protein engineering AI platform designed to accelerate the discovery and optimization of proteins for therapeutic, industrial, and research applications. Built by scientists for scientists, Cradle leverages advanced machine learning models to generate novel protein candidates and improve their properties, such as stability, expression, binding affinity, and activity. The platform integrates seamlessly into existing workflows, allowing users to track experiments from candidate generation to experimental validation, all guided by their own proprietary data.
Key features include AI-driven protein design that learns from user-provided experimental results, enabling iterative optimization with fewer rounds of testing. The platform supports a wide range of protein engineering tasks, from improving thermostability and solubility to engineering therapeutic peptides and antibodies. Use cases span across biopharmaceuticals, industrial enzymes, vaccine development, and more. For instance, Cradle has been used to engineer therapeutic peptides with a 50% success rate under tight multi-property constraints, achieving results 5× faster than traditional methods. In another case, it improved the thermostability of a Staphylococcus aureus vaccine candidate by 2.5°C in a single round, 7× faster than rational design.
Technically, Cradle employs state-of-the-art deep learning architectures, including transformer-based models and graph neural networks, trained on vast datasets of protein sequences and structures. The platform provides intuitive interfaces for generating candidates, visualizing results, and managing experiments. It also offers robust data security and integration capabilities, ensuring that proprietary information remains protected. Cradle is available via a subscription model with flexible pricing tiers based on usage and organizational needs, making it accessible to both small biotech startups and large pharmaceutical companies. By reducing the number of experiments needed and accelerating the design-build-test cycle, Cradle empowers scientists to achieve more breakthroughs in less time, ultimately bringing better protein-based solutions to market faster.
Use Cases
Key Features
AI driven protein design iterative optimization multi property optimization experimental tracking proprietary data integration therapeutic peptide engineering antibody engineering thermostability improvement solubility enhancement activity optimizationWho is it for?
protein engineers, biopharmaceutical researchers, industrial enzyme developers, vaccine developers, therapeutic peptide scientists, antibody engineers, R&3D teams, biotech companies
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