What is Cradle?
Cradle is an AI‑driven protein engineering platform that generates and optimizes protein candidates across multiple properties such as binding affinity, stability, and expression. It ingests wet‑lab data from screening or optimization experiments, automatically assesses data quality, and trains custom models that improve with each data upload.
The platform supports full‑plate design, enabling users to download curated sequences for rapid laboratory testing or CRO execution, and tracks round status to provide real‑time metrics for each property. Cradle is secure, SOC 2 compliant, and keeps all sequences and data private, with no external model training.
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Cradle's key features
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AI-generated protein candidates on demand
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Multi-property co-optimization support
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Full-plate curated candidate selection
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Auto-analyze wet lab data quality
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Continuous model learning with rounds
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Real-time lab progress tracking
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SOC 2 compliant data security
Cradle use cases
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Use Cradle's AI‑driven platform to ingest wet‑lab binding data, build custom affinity models, and generate a 384‑well design of antibody variants with enhanced affinity, stability and expression for rapid lead optimization, all within a SOC 2 compliant environment
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Leverage Cradle to predict expression levels and stability of enzyme candidates, automatically suggest codon‑optimized sequences and full‑plate designs, enabling high‑throughput screening of industrial biocatalysts without manual redesign
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Track directed evolution experiments in real‑time with Cradle’s metric dashboard, automatically update models with new assay results, and receive data‑driven sequence suggestions for the next generation, ensuring continuous improvement while keeping all proprietary data private
Who is it for?
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Scientific researchers
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Protein designers
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Data analysts
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Computational biologists
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Scientific innovators