Cradle

Cradle provides a platform for design, optimization, and learning in protein engineering, combining design from targets or existing sequences with AI-driven optimization across multiple properties. It is presented as a workflow that scales across teams and programs, with access via web and API. The tool aims to reduce wet-lab rounds and accelerate bringing proteins to target profiles.

Cradle operates by training project-specific models on assay data to map the fitness landscape of a protein. Users can forecast rounds, score plates in silico before lab spend, and generate lab-ready candidates. The platform emphasizes learning from every assay and retraining as data accumulates to improve future rounds.

The platform integrates rounds, modeling, forecasting, reports, and collaboration, with an emphasis on security and enterprise readiness. It supports both web application and API usage, enabling scientists and computational teams to work together within a governed environment.

Cradle describes licensing options including Standard, Enterprise, and Academic programs, with private workspaces, ownership of data, and no hidden fees.

Use cases

• Design and optimize proteins with AI-guided rounds across multiple properties
• Improve developability, efficacy, and manufacturability in parallel