Cradle
About Cradle
Cradle streamlines protein design for biotech teams using advanced machine learning to create optimized variants. Users can import lab data or start from a single sequence, experiencing rapid iterations that improve performance while ensuring data privacy. Cradle revolutionizes protein engineering, making processes simpler and faster for researchers.
Cradle offers a flat annual fee structure, ensuring user-owned intellectual property without royalties. The platform empowers users with robust features and optimizations at each subscription tier, suited to different project scales. This approach drives value by accelerating the design and testing phases with predictable costs.
Cradle's user-friendly interface is designed for seamless navigation, integrating effortlessly into existing workflows. The layout supports quick access to features, allowing users to generate sequences, set up assays, and import results efficiently. This intuitive design enhances the user experience, making protein engineering both accessible and effective.
How Cradle works
Users start by setting up assay objectives within Cradle, detailing what to measure for project success. Next, they generate protein sequences tailored to these objectives with just a few clicks. Lab testing follows, where users can import results directly back into the platform, ensuring an integrated workflow. As users interact with Cradle, they benefit from continuous improvements in variance generation through machine learning, simplifying the complex process of protein optimization.
Key Features for Cradle
Machine Learning Optimization
Cradle’s innovative machine learning optimization distinguishes it from traditional protein engineering methods. By continuously learning from each experimental round, Cradle enhances protein variants with every iteration, providing researchers with accurate performance predictions and significantly reducing time-to-market for new biotechnological innovations.
Data Privacy and Security
Cradle prioritizes user security with private and secure data handling, ensuring that all sequences and experimental data remain confidential. Users retain complete ownership of their intellectual property, avoiding the complexities of royalties with a simple annual fee, fostering a trust-based environment for biotechnological advancements.
Multi-Property Optimization
Cradle allows users to optimize multiple protein properties simultaneously, streamlining the experimentation process. This unique capability not only saves time but also accelerates learning, allowing biotech teams to develop superior results across various protein characteristics, making it a vital tool for researchers needing comprehensive solutions.
