Discover new molecules fast.
Like, really fast.
Built for the next generation of chemical research
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
Design and develop redox-active molecules with target thermodynamic properties for next-generation battery and energy storage devices.
For decades, chemists have faced a frustrating asymmetry: expensive compute or bench work before knowing if a molecule will behave as hoped. Meet EQUUS and ALOE: our first answer to that problem.
Cavall Labs is honored to be selected as a CMU VentureBridge '26 Fellow, a competitive program that supports early-stage startups from Carnegie Mellon University.
We are opening early access to the EQUUS Platform API, enabling research teams to integrate molecular energy predictions directly into their computational workflows.








