Cradle

An AI-powered platform for rapid protein design and engineering optimization.

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About Cradle

Cradle is an advanced AI-driven protein engineering platform that accelerates the design and optimization of proteins. Using sophisticated prediction algorithms and intelligent design suggestions, it streamlines protein development for applications such as therapeutics, agricultural solutions, and food ingredients. The platform enables teams to generate candidate proteins, monitor progress, analyze reports, and optimize multiple properties like activity, stability, and binding affinity efficiently.

How to Use

Begin by importing experimental data into Cradle, set your design objectives and assay targets, then generate protein candidates with AI-powered design strategies. Review performance scores, validate sequences in the lab, and utilize the platform’s tracking features. As new data becomes available, Cradle continuously learns to improve its predictive accuracy and design recommendations.

Features

AI-driven protein design and optimization

Multi-property co-optimization

Secure, private data management

Candidate generation and tracking

Comprehensive reporting and analysis

Data-driven model learning

Use Cases

Enhancing peptide stability and efficacy

Engineering antibodies with improved binding and developability

Developing therapeutic, agricultural, and food proteins

Accelerating enzyme catalytic conversions

Stabilizing antigens for vaccine development

Best For

Biotech researchersTherapeutic developersAgricultural biotech companiesProtein scientistsResearch teamsProtein engineersBiology professionals

Pros

Ensures secure and private data management

Provides expert support from scientists and ML specialists

Speeds up protein engineering projects

Allows simultaneous optimization of multiple properties

Leverages AI to improve protein characteristics

Cons

May require expertise in protein engineering and AI techniques

Pricing details are not publicly listed

Dependent on experimental data for model training

Frequently Asked Questions

Find answers to common questions about Cradle

What types of proteins can Cradle optimize?

Cradle is suitable for any protein and property. If it can be measured, it can be optimized with Cradle.

How does Cradle protect my data?

Your sequences and data remain private and secure. Only authorized users can access your data, which is never used to train models for others. You retain full ownership and control, with bank-grade security protecting your information.

Is Cradle a contract research organization (CRO)?

No, Cradle is not a CRO. They operate their own wet lab in Amsterdam to ensure high-quality model outputs while your proprietary data stays fully private.

Can I use Cradle for early-stage research?

Yes, Cradle supports early-stage protein design, enabling rapid hypothesis testing and iterative optimization.

What kind of experimental data is needed?

Cradle requires experimental data to train its models and improve prediction accuracy. The quality and quantity of data influence the results.

How does Cradle improve protein stability?

Cradle employs AI algorithms to identify modifications that enhance protein stability and efficacy based on your input data.