Cradle

Features

• Machine Learning Integration: Utilize advanced AI algorithms to predict protein properties and enhance your experimental success rates without the guesswork.
  
• Rapid Variant Generation: Quickly design and test new protein variants by importing existing lab data or starting from a single sequence.
  
• Predictive Performance Scoring: Each proposed sequence is accompanied by a performance score, reducing surprises in the lab and enhancing productivity.
  
• Dynamic Learning System: Cradle's adaptive machine learning models improve with each experimental cycle, delivering superior variants in less time.
  
• Multi-Property Optimization: Optimize multiple protein properties simultaneously, saving valuable time and resources.
  
• Intellectual Property Security: Benefit from high-level data security and retain full ownership of your intellectual property.
  

Use Cases:

• Biotech Research and Development: Expedite the R&D of enzymes, vaccines, peptides, and antibodies through efficient protein design.
  
• Industrial Enzyme Engineering: Apply Cradle to enhance thermostability, solvent stability, and substrate specificity for industrial applications.
  
• Pharmaceutical Innovations: Streamline the development of next-generation therapeutics with rapid protein engineering and testing.
  
• Agribusiness: Leverage Cradle to create more efficient proteins for use in agricultural chemicals, materials, and food production.
  

Cradle's platform presents a transformative approach to protein engineering with machine learning, significantly reducing time-to-market for biological products while maintaining high standards of data privacy and IP ownership.