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Chronicles

The story behind the story

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Cradle, which uses AI to help design proteins and says its SaaS model is popular, raised a $73M Series B led by IVP, after a $24M Series A in November 2023

Using AI to accelerate biotech is fast becoming standard practice, and companies offering services to deploy the tech quickly are seeing big uptake and new investment.

TechCrunch Devin Coldewey

Context & Ripple Effects

Cradle’s Series B follows its $24M Series A for AI-assisted protein engineering less than a year earlier, giving the company more capital to pursue its software-led approach. The financing also sits alongside funding for AI drug-development platforms such as Formation Bio’s pharma-and-biotech co-development model.

First-order effects

  • Cradle gains $73M in Series B funding, led by IVP, to expand its AI protein-design SaaS business.
  • IVP becomes a major backer of Cradle, while the company’s earlier Series A investors now have a better-funded platform pursuing customer adoption.

Second-order effects

  • The round raises the competitive bar for AI biology companies selling workflow software or design tools: they must show that their products can be deployed and adopted, not merely that their models are technically capable.
  • Biotech and pharma customers gain another well-capitalized option for bringing AI into protein-engineering workflows, potentially increasing pressure on incumbent research-software vendors to add or partner for AI capabilities.

Third-order effects

  • If adoption continues, AI in biotech is likely to be financed and bought increasingly as operational software embedded in research workflows rather than as a standalone experimental capability.
  • The durable advantage may shift toward companies that combine models with customer workflow integration and biological-data feedback loops; whether that produces platform concentration remains uncertain.

The trend: AI biology is moving from model-building narratives toward commercial software platforms designed to fit directly into biotech research and development workflows.