Biological data is often scattered across laboratories, research teams, and companies. This makes valuable connections difficult to identify. In this episode, Thomas from Cambria explains how the company is building an AI-native biological platform that uses evolutionary relationships to help biotech and pharmaceutical teams discover new solutions, strengthen products, and move innovations toward the market faster.
In This Podcast, We Will Discuss:
How Cambria is organizing complex biological data
Why biology cannot be treated only as a software problem
How evolution can guide biological product discovery
Why research takes time to reach real-world implementation
How AI can support pharmaceutical and biotech innovation
What founders should know before building deep-tech startups
How Cambria plans to become a leading platform for biology
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