Tool overview
Cradle is listed under AI for Science AI tools.
What is Cradle?
Cradle helps biotechnology teams design improved proteins with machine-learning models that learn from experimental results. Scientists can generate candidate sequences, optimize multiple properties, and work through a web interface or documented APIs.
Best for
Biotechnology teams iterating protein designs against proprietary experimental data.
Who is it for?
Decision note
Strong fit for protein-engineering teams with wet-lab capacity and clearly defined optimization objectives.
Key features
AI generation of protein sequence candidates
Multi-property protein optimization
Learning from proprietary experimental results
Web interface for scientific teams
Documented API access for workflows
Support from protein and ML specialists
Use cases
Optimizing enzymes and binders
Improving stability and activity
Designing peptides and vaccines
Prioritizing wet-lab candidates
Iterating from assay results
Pros
- Built around iterative wet-lab feedback
- Supports multiple protein objectives
- Offers web and API access
- Combines software with scientific support
Limitations
Cradle proposes and prioritizes protein sequences, but candidates still require experimental validation, safety assessment, manufacturability review, intellectual-property analysis, and regulatory work before practical use.
Pricing details
Billing options
Custom enterprise contract
Pricing note
Cradle does not publish standard plan prices. Access is arranged through a commercial or research engagement, with scope depending on the protein program, workflow integration, API needs, and scientific support.
Supported languages
- English
Integrations
Experimental assay data
Scientific workflows
Programmatic API pipelines
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