Scientists faced a search space of 10^60 molecules. AI now designs viable candidates for robots to manufacture and test 24/7.
A technology-driven biotech company confronts an industry landscape where developing a single medicine costs over $2 billion and takes up to 15 years. Scientists must identify effective candidates among $10^{60}$ potential small molecules, resulting in failure rates exceeding 90 percent.
Traditional discovery relies on manual trial-and-error experiments that cannot scale to cover this vast molecular search space. These physical...
“We use generative AI to solve for efficiency and effectiveness. By predicting the molecular features of a safe and effective drug in silico, we minimize the number of costly experiments. Our platform, built in collaboration with the AWS team, is optimized for speed. We can repeat many DMTL learning loops, improving our drug candidates with every iteration.”
AI-driven drug discovery platform for designing precision medicines.
Cloud computing platform and on-demand infrastructure services.
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