Description
Cradle offers a powerful AI-driven platform engineered to accelerate protein engineering processes, enabling scientists to discover and optimize proteins with greater speed and precision. The platform leverages advanced AI models to generate novel protein candidates and improve their existing properties, significantly reducing the time and resources required for research and development.
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At its core, Cradle empowers users to engineer better proteins faster. By integrating experimental data directly into the AI models, the platform learns and refines protein designs iteratively. This approach leads to more breakthroughs with fewer experiments, guiding R&D teams toward desired objectives more efficiently. Users can track project progress from candidate generation to experimental result uploading, with comprehensive reporting tools to manage data and explore insights.
Trusted by leading Biopharma and Industrial Bio R&D teams, Cradle has demonstrated its ability to shorten development timelines and accelerate the market introduction of biosolutions. Case studies highlight its success in areas such as producing vaccine adjuvants, engineering therapeutic peptides with high success rates under multi-property constraints, improving vaccine thermostability, and rescuing stalled protein campaigns.
The platform facilitates co-optimization of multiple protein properties, including activity, binding affinity, specificity, stability, and expression. This capability allows teams to navigate complex trade-offs and achieve optimized solutions in fewer experimental rounds. Cradle is designed to work with any protein, supporting the entire journey from hit identification to lead optimization and beyond, making it suitable for therapeutics, agricultural solutions, and food ingredients.
Cradle prioritizes data privacy and security, ensuring that user sequences and data remain private, secure, and exclusively owned by the organization. The platform is protected by bank-grade security and is SOC 2 compliant. It offers a zero-maintenance, fully managed AI infrastructure with dedicated support from scientists and ML experts. Cradle also operates its own wet lab in Amsterdam to ensure its AI models are performant from day one, even before integrating proprietary data, mirroring best practices in AI development.
- CategoryScientific Discovery & Lab Tools
- Pricing ModelContact sales
- DeploymentCloud
- PlatformsWeb
Cradle's Core Features
AI-driven protein candidate generation
Protein property optimization using experimental data
Iterative model refinement based on wet lab results
Co-optimization of multiple protein properties (activity, stability, etc.)
Accelerated development timelines (2-12x faster reported)
Exploration of multiple design strategies
Secure and private data handling
SOC 2 compliant infrastructure
Single Sign-on (SSO) support for Google and Microsoft
Integration of custom predictors (BETA)
Fully managed AI infrastructure with scalable GPU
Dedicated scientific and ML expert support
Proprietary data remains private and is not used for external model training
How to use Cradle?
Configure: Define protein engineering goals and input experimental data.
Generate: Leverage AI to create novel protein candidates.
Track: Monitor project progress from candidate generation to results.
Explore: Analyze reports and explore optimized protein designs.
Optimize: Iterate on designs based on AI feedback and new experimental data.
Deploy: Bring improved proteins to market faster.
Cradle's Use Cases
- Therapeutic Peptide Engineering
- Vaccine Adjuvant Production
- Antibody Optimization
- Enzyme Development
- Vaccine Antigen Stabilization
- IgG Campaign Rescue
- Food Ingredient Innovation
- Agricultural Solution Development
