Cradle

Cradle is a cutting-edge AI platform dedicated to revolutionizing protein engineering for scientific teams across therapeutics, agriculture, and food industries. Trusted by industry leaders like Novo Nordisk and Johnson & Johnson, Cradle empowers scientists to design and optimize proteins with unprecedented speed and efficiency. The platform integrates generative AI with a user's proprietary wet lab data to create a powerful, self-improving system. This approach moves beyond incremental improvements, enabling compounding results that dramatically shorten the path from research to market-ready products.

The core philosophy of Cradle is to transform the traditionally slow and high-risk process of protein development into a rapid, data-driven, and predictable workflow. By allowing researchers to explore multiple design strategies simultaneously, it de-risks projects and strengthens intellectual property portfolios with novel, high-performing protein sequences. The platform is built with a privacy-first mindset, ensuring all user data and generated sequences remain private, secure, and fully owned by the user, under a simple software subscription model without royalties or hidden fees.

How to use Cradle

Cradle streamlines the complex protein engineering process into a simple, iterative cycle that combines computational design with lab validation:

1. Learn from Data: Users begin by uploading their existing wet lab data from screening or optimization experiments. For new projects, they can simply define their goals and assays. The platform's AI automatically analyzes the data quality and begins training custom models that understand the unique characteristics of the target protein.
2. Generate Candidates: With a few clicks, users can generate a diverse set of new, optimized protein candidates. The AI allows for setting specific sequence or lab-based constraints and incorporates expert knowledge to guide the generation process, balancing multiple properties at once.
3. Review and Select: Cradle provides comprehensive Generation Reports that offer full control over candidate selection. These reports include predictive performance scores for all properties, 3D visualizations of mutations, and a curated plate of sequences designed to maximize the chances of success in the lab.
4. Validate in the Lab: The selected sequences are downloaded and can be sent for DNA synthesis and assay testing, either in the user's own lab or with a preferred Contract Research Organization (CRO).
5. Track and Iterate: As new experimental results are generated, they are uploaded back into Cradle. This closes the loop, allowing the AI models to learn from the new data and become even more predictive for the next round of design, creating a cycle of compounding improvements.

Core Features of Cradle

• AI-Powered Candidate Generation: Utilizes generative AI to design novel protein sequences with improved properties, moving beyond what's possible with traditional methods.
• Multi-Property Co-optimization: Simultaneously optimizes for various properties like activity, binding affinity, stability, and expression, turning complex trade-offs into optimized solutions.
• Iterative Learning from Wet Lab Data: The platform's models continuously learn and improve with every round of experimental data uploaded, leading to increasingly performant variants.
• Data Quality Analysis: Automatically assesses experimental data to provide insights on how to improve lab workflows and assays for faster, more reliable results.
• Comprehensive Reporting & Visualization: Delivers detailed reports with predictive performance scores and interactive 3D models to explore specific sequences and mutations.
• Enterprise-Grade Security & Privacy: SOC 2 compliant platform with private workspaces, ensuring user data is never used to train models for others.
• Full IP Ownership: Users retain 100% ownership of their intellectual property, including all generated sequences and data, with a clear, royalty-free subscription model.
• Fully Managed Infrastructure: Provides a zero-maintenance, scalable AI infrastructure with optimized GPU compute and dedicated support from scientists and ML experts.

Use Cases for Cradle

Cradle is versatile and built to accelerate development for any protein where properties can be measured and optimized:

• Therapeutics: Design and mature antibodies with enhanced binding affinity and developability while avoiding immunogenicity. A notable success includes an 8x improvement in EGFR binding affinity for Cetuximab.
• Vaccines: Rapidly stabilize antigens and achieve therapeutic goals faster by optimizing for stability and efficacy.
• Enzymes: Engineer enzymes to accelerate specific catalytic conversions, enabling them to function effectively even in challenging industrial conditions.
• Peptides: Optimize peptides to achieve desired efficacy while ensuring crucial properties like stability are maintained or improved.
• Agricultural & Industrial Biotech: Develop novel proteins for crop protection, sustainable materials, or improved food ingredients.

Advantages of Cradle

Cradle offers a significant competitive edge in the biotechnology space:

• Accelerated Timelines: Reduces development timelines by 1.5x to 12x, enabling products to reach the market in quarters instead of years.
• Compounding Returns: Each lab experiment makes the models smarter, leading to exponential gains in performance over time.
• Reduced R&D Risk: Enables confident exploration of multiple design strategies in parallel, increasing the probability of program success.
• Strengthened IP Portfolio: Generates diverse and novel sequences, providing a strong foundation for intellectual property claims.
• User-Centric Design: An intuitive interface makes advanced AI accessible to all lab scientists, not just computational biology experts.

Pricing and Plans

Cradle offers a modern, transparent software license model designed to fit various research needs without hidden fees, milestone payments, or royalty obligations. All plans include a private and secure workspace, full ownership of IP, unlimited users and data storage, and expert technical support.

• Standard: An annual license based on the number of active projects, ideal for organizations running one to several programs.
• Enterprise: A flexible, scalable plan for larger organizations that want to deploy Cradle across multiple programs and divisions.
• Academic: A program tailored for not-for-profit research, with limited availability.

For specific pricing details, interested parties are encouraged to contact the Cradle team directly.