chemistry-ai
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Alex Wang Is Taking AI Out of the Demo and Into the Lab
After two decades helping enterprise technologies find their market, NobleAI's CEO is betting that scientific AI wins only when chemists and engineers can understand it, check it and use it in the flow of real work.
NobleAI
NobleAI is a San Francisco software company that builds 'Science-Based AI' for chemical, materials and energy R&D. Its cloud VIP platform (Visualizations, Insights and Predictions) bakes physical laws and chemical properties into machine-learning models so they can make useful predictions from the sparse, messy datasets that industrial labs actually have - compressing R&D cycles from months to minutes. Founded in 2017 by physicist Matthew C. Levy, the company has raised roughly $40M from backers including Microsoft's M12, Chevron Technology Ventures, Sway Ventures and Dorilton, and counts chemical giants such as Solvay among its early partners.
Deep Principle
Deep Principle is an AI-for-Science company spun out of MIT that builds ReactiveAI, a closed-loop R&D platform fusing generative AI, quantum chemistry, and high-throughput experimentation to discover new materials, catalysts, and chemical processes far faster and cheaper than traditional trial-and-error labs. Founded by MIT PhDs Haojun Jia and Chenru Duan, the company targets materials, energy, and pharmaceutical R&D and has reported quantum-chemistry speedups on the order of 20,000x versus conventional DFT.