Cradle
About Cradle
Cradle is an innovative platform designed for biotech teams focused on protein engineering. Users can quickly generate improved protein variants through an intuitive interface that combines machine learning technology with experimental data. This unique approach significantly reduces lab uncertainties and enhances research timelines, making it an essential tool for modern biotechnology.
Cradle offers competitive pricing with a flat annual fee, ensuring no additional royalties for users. Pricing tiers are structured to provide access to advanced protein design features and continuous learning capabilities. Users can reap the benefits of upgrading, gaining access to enhanced functionalities that streamline their engineering processes.
Cradle features a user-friendly interface designed for seamless navigation and ease of use. Its clean layout and straightforward processes help scientists maximize their productivity. Unique features, like multi-property optimization and secure data management, ensure a smooth browsing experience while maintaining the integrity of users' research data.
How Cradle works
Users begin with Cradle by setting up their project objectives, defining what they aim to measure in their protein engineering studies. The platform then allows for the importation of existing assay data or encourages starting from scratch with a target protein sequence. Users generate new sequence variants, which are then tested in the lab. Results can be easily integrated back into Cradle, creating a streamlined feedback loop. This unique iterative process, powered by machine learning, enhances both the efficiency and effectiveness of research projects, making user collaboration seamless and insightful.
Key Features for Cradle
Multi-Property Optimization
Cradle's multi-property optimization feature sets it apart in protein engineering. Users can concurrently enhance various protein properties, significantly arming them with improved variants and faster learning cycles. This innovative capability maximizes lab productivity and accelerates project timelines, ensuring a competitive edge in biotechnology research.
Secure Data Management
Cradle prioritizes user privacy through its secure data management system. Users retain full ownership of their intellectual property and experimental data, ensuring it remains confidential. This commitment to data security fosters trust, allowing researchers to engage confidently in their development processes without concerns over data misuse or sharing.
Machine Learning Integration
Cradle effectively integrates machine learning models into the protein design process. This unique feature allows the platform to learn from each experimental round, producing increasingly superior protein variants. Users benefit from this intelligent optimization, significantly enhancing their research capabilities and reducing time to market.
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