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About Cradle
Protein engineering without the guesswork
Design improved variants of your target protein sequence with just a few clicks — and some machine learning.
Bring lab data or start fresh
Get started by importing assay data from an ongoing project – or start fresh from just a single starting sequence.
No surprises in the lab
Each generated sequence comes with a predicted performance score. Less exciting for some, more productive for everyone.
Cradle key features
- Utilizes AI to generate and optimize protein candidates, enhancing their properties and accelerating development timelines.
- Enables tracking of project status from candidate generation to experimental result uploads, facilitating data management.
- Supports co-optimization of multiple protein properties, allowing for complex trade-offs to be addressed in fewer experimental rounds.
- Ensures data privacy and security, with full ownership of intellectual property and SOC 2 compliance.
- Provides dedicated support and a fully managed AI infrastructure, with regular updates to improve model performance.
Cradle use cases
- Utilize AI to generate and optimize protein candidates for various applications, including therapeutics and agricultural solutions.
- Accelerate the development timeline for protein engineering projects, achieving breakthroughs in fewer experimental rounds.
- Co-optimize multiple properties of proteins, such as activity, binding affinity, and stability, to meet specific project goals.
- Support the creation of mature and developable binders for antibodies, enzymes, vaccines, and peptides while ensuring data privacy and security.
- Enable high-throughput experimentation and machine learning-driven workflows to enhance protein engineering efficiency and effectiveness.
Useful for
- Leverage AI to generate and optimize protein candidates, improving their properties efficiently.
- Achieve faster development timelines, with reported improvements of 2-12x compared to traditional methods.
- Co-optimize multiple properties of proteins, such as activity, binding, stability, and expression, in fewer experimental rounds.
- Maintain data privacy and security, ensuring proprietary data is not used to train models for others.
- Support a wide range of applications, including therapeutics, agricultural solutions, and food ingredients.
Price
- Cradle offers a software subscription fee model with no royalties, ensuring full ownership of intellectual property.
- The platform is designed for enterprise use, providing private and secure data management with SOC 2 compliance.
- Users can leverage AI to generate and optimize protein candidates, achieving faster development timelines (2-12x faster).
- Cradle supports a variety of protein types, including antibodies, enzymes, peptides, and vaccines, allowing for comprehensive optimization.
- The platform includes features like custom predictors, dedicated support, and a fully managed AI infrastructure.
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