Cradle
About Cradle
Cradle is a cutting-edge platform for protein engineering, tailored for biotech teams seeking to innovate. With its unique AI-driven model, users can design, evaluate, and optimize protein sequences effortlessly, reducing lab time and enhancing experimental outcomes. Cradle streamlines workflows while ensuring data privacy and IP ownership.
Cradle offers straightforward pricing with a flat annual fee, allowing users unrestricted access to its powerful protein engineering tools. Each plan includes full ownership of generated sequences and no hidden royalties. Upgrading ensures continuous access to innovative features that enhance research productivity and efficiency.
Cradle features an intuitive user interface designed for seamless navigation and enhanced user experience. Its organized layout allows easy access to protein design tools, experimental workflows, and data management features. Users will appreciate the approachable design of Cradle, which optimizes their interaction and productivity.
How Cradle works
Users start with Cradle by setting up their assay objectives and importing initial protein sequences. The easy onboarding process guides users through generating optimized variants using machine learning. With each lab experiment, Cradle learns and refines its models, helping users achieve better results quickly and securely, while maintaining IP rights.
Key Features for Cradle
AI-Powered Protein Optimization
The AI-powered protein optimization feature of Cradle enables users to design improved protein variants swiftly. By leveraging machine learning algorithms, Cradle predicts performance scores for generated sequences, allowing for informed decision-making in laboratory settings. This innovative approach streamlines research and enhances productivity for protein engineers.
Multi-Property Optimization
Cradle's unique multi-property optimization capability allows users to address multiple characteristics of proteins simultaneously. This feature enhances the efficiency of the design process, ensuring that diverse properties such as stability and solubility can be improved in one optimization round. This flexibility saves time and resources for researchers.
Data Privacy and Ownership
Cradle prioritizes data privacy and IP ownership, ensuring that users retain full control of their sequences and experimental data. This commitment to confidentiality means that any generated data cannot be utilized for training other users' models, fostering a secure environment for innovative protein engineering solutions.
