Cradle
About Cradle
Cradle is an advanced platform focused on protein engineering, enabling users to design improved protein variants swiftly. With its machine learning capabilities, Cradle simplifies the process, helping biotech teams overcome challenges while maximizing experimental efficiency, ultimately leading to faster research outcomes.
Cradle offers flexible pricing plans, allowing users to access tools for a flat annual fee. Each plan provides unique features suitable for various project sizes, enabling cost-effective protein design without unexpected royalties. Upgrading enhances user experience with comprehensive support and advanced functionalities tailored for researchers.
Cradle boasts a user-friendly interface that streamlines the protein design process. Its intuitive layout and easily navigable functions enhance the user experience, making it simple for researchers to generate sequences, import data, and analyze results effortlessly, thereby maximizing productivity in protein engineering.
How Cradle works
Users begin by setting up assays and defining objectives within Cradle's straightforward onboarding process. After that, they can generate protein sequences through a few simple clicks. The generated variants are tested in laboratories, and results can be imported back into Cradle for enhanced learning and adaptation, ensuring continued improvement in protein design.
Key Features for Cradle
Machine Learning Integration
Cradle's unique machine learning integration allows users to efficiently generate improved protein variants by learning from previous experiments. This innovative feature not only saves time but enhances the likelihood of achieving successful lab results, revolutionizing the protein engineering process for users.
Multi-Property Optimization
Cradle excels in multi-property optimization, enabling users to refine several attributes of protein variants simultaneously. This feature streamlines the design process and facilitates rapid advancements, allowing researchers to produce superior variants without the hassle of traditional method limitations.
Data Privacy and Ownership
Cradle prioritizes user data privacy and ownership, ensuring that all sequences created and data collected remain exclusively accessible to the user. This commitment not only fosters trust but also empowers researchers to focus on innovation, knowing their intellectual property is secure and protected.
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