Advanced diagnostic and monitoring tools engineered for flow batteries featuring patent-pending sensors for real-time internal chemistry measurements, proprietary machine learning–driven diagnostics software for predictive maintenance, and a subscription-based data management system with annual licensing.
Patent-pending sensors providing real-time measurements of internal battery chemistry with extended longevity; proprietary diagnostics software using machine learning for predictive maintenance and harmful side reaction detection; subscription-based data management system with annual licensing.
Academic collaborations with University of Pittsburgh and NASA researchers; presented at Rice Alliance accelerator; supported by Activate.org fellowship; development and pilot deployment of a chemistry-agnostic grid-scale battery sensor toolkit.
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