materials-informatics
(3)
Ares Materials, Inc.
Ares Materials is a Plano, Texas advanced-materials company building AI-designed optical polymers for the display industry. Spun out of the University of Texas at Dallas in 2016, it uses thiol-click chemistry and a machine-learning platform called Pylux to formulate solvent-free, PFAS-free films, adhesives, coatings and cover windows for foldable phones, AR/VR devices and other flexible electronics - aiming for high optical clarity, mechanical durability and up to 90% lower CO2 emissions than incumbent materials.
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.
Quantum Boost
Quantum Boost is a London-based deep-tech startup building an AI formulation assistant for the chemicals and materials industry. Its platform uses Bayesian optimization and machine learning to help R&D scientists design smarter experiments, cut the number of lab trials needed to hit a target, and surface insights from existing experimental data. The company claims its approach reaches formulation targets roughly 2-5x faster than traditional Design of Experiments (DoE), and serves teams working on inks, paints and coatings, pharmaceuticals, and specialty chemicals.