Cradle Bio

Cradle's core strength is its compounding learning: every round of wet-lab data improves the AI model, turning incremental progress into accelerating returns. This is particularly valuable for teams running multiple optimization rounds. The Sankey plot visualization for trade-offs is a standout feature, helping scientists navigate multi-property constraints. The platform is enterprise-ready with SOC 2 compliance and data privacy guarantees. On the downside, there's no self-serve signup or public pricing, which creates friction for smaller teams. Cradle also doesn't offer API access publicly, limiting integration with custom pipelines. For teams with established experimental workflows and budget for enterprise software, Cradle is a strong fit. For academic labs or small startups with limited data, the ROI is less clear.

Cradle is a generative AI platform designed for protein engineers and scientists in biopharma and industrial biotech. It features a browser-based integrated development environment (IDE) for generating protein candidates, tracking optimization rounds, and uploading experimental results. The platform uses AI models that learn from each round of wet-lab data, enabling co-optimization of multiple properties like binding affinity, stability, expression, and activity. Cradle supports any protein type—antibodies, enzymes, vaccines, peptides—and integrates into existing workflows. It offers Sankey plot visualizations for trade-offs and data management tools. The platform claims to accelerate development timelines by 2-12x and has published case studies showing improved thermostability, success rates in peptide engineering, and rescue of stalled antibody campaigns. Cradle is SOC 2 compliant and keeps your data private and secure. No public pricing is available; access requires a sales conversation.