Insitro

Drug design is fundamentally a data science problem. Naturally, data science starts with the data, with a key challenge ...

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What they do

Problem

Drug discovery is slow and expensive due to limited, low-quality, and poorly reproducible data for predicting how compounds will perform.

Solution

It generates high-quality biological datasets at scale and applies machine learning to design and prioritize drug candidates.

Who it's for

Pharmaceutical and biotechnology companies and drug discovery R&D teams.