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Reticular

Fall 2024 · Active

Interpretable AI for drug discovery

Location: San Francisco, US

Founded: 2024

Team size: 2

About

Reticular helps pharma companies discover drugs with AI models like AlphaFold by making them steerable, just like you can prompt LLMs. Today, limited validation data means companies spend millions on failed experiments trying to steer these models through trial and error. We’re piloting our AI interpretability technology with early-stage biotechs and scaling rapidly. Just a week after our pivot, we identified the first interpretable features ever found in protein models, allowing precise control over biological functions. Nithin and John met competing in Biology Olympiads before spending 4 years as roommates at MIT publishing ML/bio research in NeurIPS and Nature. We believe biological models encode far more information than anyone is currently using - our goal is to unlock this potential.

Founders

  • John YangFounder

    MIT AI + Mathematics '24. Published ML research in NeurIPS and Nature. Prior quant intern at Goldman Sachs. National achievements include USA Brain Bee Champion, USA Biology Olympiad Bronze Medalist, and First Place Euro Challenge Team Captain.