Cradle: Accelerate Protein Engineering with AI and Automation

Cradle is a cloud-based platform that leverages machine learning to accelerate protein engineering. It empowers scientists to design, engineer, and optimize proteins for various applications, from therapeutics and diagnostics to industrial enzymes and agricultural solutions. By combining powerful AI algorithms with an intuitive interface, Cradle simplifies the protein engineering process and reduces the time it takes to bring innovative products to market.

Unique features:

• AI-driven protein design: Employs advanced machine learning models to generate and optimize protein sequences with desired properties.
• Integrated wet lab: Combines computational design with a high-throughput robotic wet lab for rapid prototyping and validation.
• Data-driven optimization: Leverages experimental data to iteratively refine protein designs and improve performance.
• User-friendly interface: Provides an intuitive platform for designing experiments, visualizing data, and collaborating with team members.
• Secure and private: Ensures data security and intellectual property protection with a private cloud infrastructure.

How Cradle works:

• Define design goals: Specify the desired properties of the protein, such as stability, activity, and specificity.
• Generate designs: Cradle's AI algorithms generate a diverse set of protein sequences that meet the specified criteria.
• Analyze and select: Evaluate the predicted performance of each design and select promising candidates for experimental validation.
• Wet lab validation: Cradle's automated wet lab synthesizes and tests the selected designs, generating experimental data.
• Iterative optimization: The AI models learn from the experimental data and generate improved designs in subsequent rounds.

Key features and functionalities:

• AI-powered protein design and optimization
• Integrated wet lab for rapid prototyping
• Data visualization and analysis tools
• Collaborative platform for team projects
• Secure data storage and IP protection
• API access for custom integrations

Use Cases and Examples:

Use Cases:

1. Developing new therapeutics: Designing antibodies, enzymes, and other proteins with improved therapeutic properties.
2. Engineering industrial enzymes: Optimizing enzymes for applications in biomanufacturing, food processing, and other industries.
3. Creating diagnostic tools: Developing highly specific and sensitive protein-based diagnostic assays.
4. Improving agricultural products: Engineering proteins for enhanced crop yields, pest resistance, and nutritional value.
5. Accelerating scientific discovery: Facilitating research in protein structure, function, and evolution.

Examples:

• A pharmaceutical company uses Cradle to design a new antibody with increased affinity for its target, leading to a more effective drug.
• An agricultural biotechnology company utilizes Cradle to engineer an enzyme that improves the efficiency of biofuel production.

User Experience:

While Cradle focuses on protein engineering, its design and features suggest a user experience that prioritizes:

• Efficiency: Streamlining the design-build-test-learn cycle accelerates the development process.
• Collaboration: The platform facilitates teamwork and knowledge sharing among scientists.
• Data-driven decision-making: AI-powered predictions and experimental data guide the optimization process.

Pricing and plans:

Cradle offers flexible subscription plans based on usage and features, catering to both academic and commercial users.

Competitors:

• Generate Biomedicines
• Absci
• Protera

Unique selling points:

• Combination of AI-driven design and automated wet lab
• Data-driven optimization and iterative learning
• User-friendly interface for seamless workflow integration

Last Words: Revolutionize your protein engineering workflow with Cradle. Visit their website today to explore its powerful features and discover how AI can accelerate your research and development.