The company's states goal is to find new compounds that could absorb pollution, combat drug-resistant fungal infections, and serve as more efficient optoelectronic components. The company's software learns from 3-D models of molecules with known properties.
Kebotix uses several machine-learning methods to design novel chemical compounds. The company feeds molecular models of compounds with desirable properties into a type of neural network that learns a statistical representation of those properties. This algorithm can then come up with new examples that fit the same model.
Investors include One Way Ventures, Baidu Ventures, Embark Ventures, Flybridge, Propagator Ventures and WorldQuant Ventures.
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A robot scientist will dream up new materials to advance computing and fight pollution
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