Cradle Bio

What is Cradle Bio?

Cradle Bio offers a user-friendly platform that enables scientists to rapidly design and optimize proteins by leveraging machine learning models trained on extensive protein data and experimental results. It supports iterative cycles of design, testing, and learning, allowing users to co-optimize multiple protein properties such as activity, stability, binding affinity, and expression. The platform is applicable across diverse industries including therapeutics, agriculture, food, and sustainable chemicals, helping teams reduce development timelines and increase success rates in protein engineering projects.

Key Features

• Iterative Learning from Experimental Data

  Automatically improves model accuracy by integrating users’ wet lab assay results, enhancing prediction quality with each round.

• Multi-Property Co-Optimization

  Simultaneously optimizes several protein characteristics, balancing complex trade-offs to generate well-rounded candidates.

• Intuitive Design Interface

  Enables scientists without coding expertise to generate lab-ready protein sequences by setting design constraints and objectives.

• Comprehensive Data Benchmarking

  Evaluates the quality and suitability of experimental data to maximize the effectiveness of AI-driven design cycles.

• Secure and Scalable Infrastructure

  Ensures data privacy with SOC 2 compliance and supports organizational growth with managed, scalable GPU resources.

Use Cases

• Therapeutic Protein Development : Accelerates discovery and optimization of antibodies, enzymes, and peptides for drug development.
• Agricultural Biotechnology : Designs proteins for crop protection and enhancement, improving agricultural product performance.
• Industrial Enzyme Engineering : Creates enzymes with enhanced stability and activity for applications in sustainable manufacturing and chemicals.
• Food Ingredient Innovation : Develops novel proteins to improve food quality, safety, and sustainability.

FAQs