Cradle

Cradle is a protein engineering platform that utilizes machine learning for optimized protein design.
August 2, 2024
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Cradle Website

About Cradle

Cradle revolutionizes protein design for biotech teams by utilizing machine learning to create optimized protein variants. Users simply set their objectives, generate sequences, and validate them in the lab. Cradle accelerates research and development, ultimately transforming complex protein engineering into a fast, efficient, and accessible process.

Cradle offers a straightforward pricing model with a flat annual fee, ensuring users retain complete ownership of their intellectual property. Each tier gives users access to valuable features designed to enhance productivity in protein design. Upgrading provides additional benefits for teams focused on rapid innovation.

The user interface of Cradle is designed for ease of navigation, allowing users to seamlessly set up their projects and objectives. Highlighting user-friendly features, the platform ensures that even those new to protein engineering can efficiently manage sequences and lab results with minimal effort.

How Cradle works

Users begin by onboarding to Cradle, where they set up their assays and objectives. The straightforward process enables them to generate protein sequences based on their specifications. Once generated, users can test these sequences in the lab, and any results can be imported back into Cradle, allowing for continuous improvement of protein variants through machine learning.

Key Features for Cradle

Machine Learning-Driven Protein Design

Cradle's unique machine learning-driven approach enables users to design improved protein variants efficiently. By leveraging predictive analytics, Cradle provides users with performance scores for generated sequences, significantly reducing trial-and-error efforts in the lab and expediting the protein engineering process.

Multi-Property Optimization

Cradle excels in multi-property optimization, allowing users to tackle various challenges in one round of experimentation. This comprehensive approach not only saves time but also enhances the learning capabilities of machine learning models used, making Cradle a vital tool for ambitious biotech teams.

Data Privacy and Security

Cradle prioritizes user privacy and security by implementing bank-grade protection for all sequences and experimental data. Users maintain full ownership of their intellectual property, ensuring that their innovative designs remain safe and confidential while utilizing the platform's advanced tools for protein engineering.

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