Discover new molecules fast.
Like, really fast.
Built for the next generation of chemical research
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Design and develop redox-active molecules with target thermodynamic properties for next-generation battery and energy storage devices.
Powered by physics-informed machine learning models, molecular design is faster and easier than ever before. We deliver results multiple orders of magnitude faster than conventional methods. Our results are backed by DFT and lab experiments.
Explore our results from Project EQUUS →U.S. Provisional Application No. 63/925,603


