IP Policy
$0 RoyaltiesUsers maintain 100% ownership of all generated intellectual property.
Cradle
Cradle is an AI platform for protein engineering. Ideal for biotech R&D teams, it helps design and optimize protein sequences using generative machine learning.
November 11th, 2022
About Cradle
Cradle is an AI platform that helps biologists and research teams design and optimize protein sequences without the slow trial-and-error of traditional lab cycles.
The platform utilizes large language models (LLMs) trained on over 1 billion protein sequences to suggest modifications that improve stability, activity, and binding affinity. By leveraging multi-objective optimization, scientists can simultaneously refine disparate traits like thermal resistance and catalytic efficiency. Cradle typically reduces the number of experimental rounds from 10 down to just 3, providing a verified research speedup of up to 12x.
Unlike traditional biotech partnerships, Cradle operates on a pure software subscription model with a zero-royalty policy. This ensures that organizations retain 100% of the intellectual property generated through the platform. Data is hosted in secure, private workspaces that meet SOC 2 and ISO 27001 standards, ensuring customer sequences are never used to train models for competitors.
Browser / Automation – Web Interface Toolchain – REST API for lab hardware integration
How it works
- Sequence generation, property prediction, active learning
Capabilities – Enzyme engineering, antibody design, peptide optimization
Pricing
Academic Tier: Contact for Quote - Tailored for not-for-profit research institutions. Standard Plan: Contact for Quote - Annual license based on the number of active projects. Enterprise Plan: Contact for Quote - Custom scaling for large multi-division organizations.
Discover Cradle and thousands of other AI tools on Beyond The AI - your trusted directory for AI solutions.
Who is using Cradle?
Protein EngineersBiotech R&D TeamsPharmaceutical ResearchersEnzyme ChemistsSynthetic Biologists
Key Features
- Generative Protein Design
- Multi-Objective Optimization
- Property Prediction Models
- SOC 2 & ISO 27001 Compliance
- API for Lab Automation
- Private Data Workspaces
- Interactive Sequence Visualization
Use Cases
- Improving thermal stability of industrial enzymes
- Optimizing antibody binding affinity
- Developing novel peptides for therapeutics
- Reducing lab cycle times in vaccine development
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