AI is spitting out more potential drugs than ever. This start-up wants to figure out which ones matter.

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AI’s biggest impact in science is Google DeepMind’s use of a deep learning model to predict the complex structures of proteins — the molecules that drive virtually every process in living cells. But as AI models continue to spit out more candidates for potential treatments, there’s an emerging bottleneck: actually characterizing all those candidates in practice, for testing and mass production. That’s the goal of 10x Science, a startup founded in December 2025 that announced a $4.8 million seed