Cradle Bio

Cradle Bio

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Private Company

Total funding raised: $5.5M

Overview

Cradle Bio is an AI-driven protein design platform company based in Amsterdam. It provides a SaaS-like platform where biopharma and industrial biotechnology R&D teams can input their experimental data to generate and iteratively optimize protein sequences for multiple properties simultaneously. The company reports significant customer success, including projects that achieved a 50% experimental success rate for therapeutic peptides and improved vaccine thermostability 7x faster than traditional methods. Cradle operates as a B2B technology provider, partnering with major industry players like Novonesis to embed AI into their development workflows.

AI / Machine Learning

Technology Platform

AI-powered software platform for generative and iterative protein design. It uses customer experimental data to train models that generate novel protein sequences optimized for multiple properties (e.g., stability, binding, expression) in a closed-loop design-make-test cycle.

Funding History

1
Total raised:$5.5M
Seed$5.5M

Opportunities

The global shift towards AI-driven R&D in biopharma and industrial biotech presents a massive opportunity for a proven platform.
Cradle's ability to work on any protein type broadens its market across therapeutics, agriculture, food, and chemicals.
Successful case studies can drive land-and-expand deals within large enterprises.

Risk Factors

The company operates in a fiercely competitive AI-protein design landscape against well-capitalized rivals.
Its technology's performance is contingent on the quality of customer data, and commercial adoption requires overcoming integration hurdles in traditional R&D workflows.
Intellectual property ownership for AI-generated designs remains a complex legal area.

Competitive Landscape

Cradle competes in the AI for protein engineering space against pure-play biotech AI firms (e.g., Generate Biomedicines, Absci), large tech companies with biology initiatives (e.g., Google/Isomorphic Labs), and established molecular modeling software vendors adding AI capabilities. Its differentiation lies in a user-friendly platform focused on iterative optimization using customer data.