Cradle

About Cradle

Cradle simplifies protein design for biotech teams, leveraging machine learning to generate optimized variants quickly and accurately. Users can easily set objectives, import data, and test variants, all while maintaining data security and ownership. Cradle revolutionizes protein engineering by removing guesswork and speeding up time to market.

Cradle offers straightforward pricing with a flat yearly fee for access to its tools. No hidden royalties or tiered plans, just transparency. Users can maximize returns on their investments and effectively harness the power of protein engineering without financial surprises, making it a smart choice for biotech innovators.

Cradle features a user-friendly interface designed for seamless navigation and workflow integration. The intuitive layout allows users to set up assays, generate sequences, and track test results efficiently. With accessible design elements, Cradle enhances the user experience, making protein engineering straightforward and productive.

How Cradle works

Users interact with Cradle by first setting up their assays and objectives, which define what proteins and properties they aim to optimize. After inputting data from ongoing projects or starting with a sequence, users can quickly generate multiple variants. With each lab test, results are imported back into the platform, allowing Cradle to refine its machine learning models and suggest improved sequences, streamlining the entire protein engineering process.

Key Features for Cradle

Machine Learning-Driven Protein Design

Cradle's innovative machine learning-driven protein design allows users to generate optimized protein variants with ease. By predicting performance scores for new sequences, Cradle helps biotech teams make informed decisions, reducing trial and error, and significantly accelerating research timelines.

Multi-Property Optimization

Cradle's multi-property optimization feature empowers users to optimize various protein attributes simultaneously. This unique capability saves time and enhances the learning process, effectively enabling researchers to achieve their project goals more efficiently, distinguishing Cradle from traditional single-property methodologies.

Data Privacy and Ownership

Cradle ensures complete privacy and ownership for users regarding their data and sequences. The platform is designed to guarantee that sensitive information remains confidential and is never utilized for training other models, providing users with peace of mind as they innovate in protein engineering.