high-throughput-experimentation
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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.
David Arreaga
David Arreaga is the co-founder and CEO of Ares Materials, a Plano, Texas deep-tech company building AI-designed optical polymers for flexible and foldable electronics. A materials scientist with a Ph.D. from UT Dallas, he turned doctoral research on polymer substrates into a company whose Pylux cover-window and adhesive materials target the next generation of foldable displays. Ares pairs high-throughput experimentation with machine learning to shorten materials development from decades to years, and closed the first trench of a $12M Series B round in 2025.
Medra
Medra builds Physical AI Scientists - robots that run biology experiments end to end. Its platform pairs a reasoning layer that designs and interprets experiments with vision-guided robots that pipette, culture cells, edit genes and log every step, all directed in plain English. Founded by Stanford robotics PhD Michelle Lee, Medra deploys workcells at biopharma partners including Genentech and Addition Therapeutics and is building one of the largest autonomous labs in the United States.
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.