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Deciphering the language of biology through multi-modal AI and deep clinical insights.

Engineer better proteins, faster with AI.

Cradle is an AI-driven protein engineering platform designed to accelerate the discovery and optimization of proteins for various applications. The platform leverages machine learning algorithms to generate protein candidates and improve their properties based on experimental data. It allows users to upload their own experimental data, which the AI uses to build predictive models. These models then guide the generation of new protein variants with desired properties, reducing the number of experimental rounds needed. Key features include multi-property optimization, candidate generation with user-defined constraints, and comprehensive reporting. Cradle streamlines the protein engineering process, enabling faster development timelines and improved outcomes across therapeutics, agricultural solutions, and food ingredients.
Cradle is an AI-driven protein engineering platform designed to accelerate the discovery and optimization of proteins for various applications.
Explore all tools that specialize in design protein sequences. This domain focus ensures Cradle delivers optimized results for this specific requirement.
Explore all tools that specialize in analyze biological data. This domain focus ensures Cradle delivers optimized results for this specific requirement.
Explore all tools that specialize in protein design. This domain focus ensures Cradle delivers optimized results for this specific requirement.
Simultaneously optimizes multiple protein properties (e.g., binding affinity, stability, expression) using advanced machine learning models.
Generates novel protein candidates based on user-defined design strategies and constraints, leveraging deep learning models trained on experimental data.
Automatically analyzes experimental data to assess its quality and identify potential issues that may affect AI learning.
Tracks the progress of lab experiments in real-time, providing live metrics per protein property as new assay data is uploaded.
Allows users to visualize protein sequences and mutations in 3D, providing insights into structure-function relationships.
1. Import experimental data from screening or optimization experiments.
2. Define project goals and assays.
3. Analyze data quality using Cradle's automated analysis.
4. Select a design strategy and set constraints.
5. Generate optimized protein candidates.
6. Review predictive performance scores and sequences.
7. Download sequences for lab testing or send them to a CRO.
8. Track lab progress using Round Statuses in Cradle.
All Set
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Verified feedback from other users.
"Users praise the platform for its ability to accelerate protein engineering workflows and improve protein properties but note that the platform requires high quality experimental data."
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