Founded in 2022, GridMind AI was born from a simple thesis: the world's power grids are complex enough to require AI-native operations — not AI-augmented legacy systems.
We believe that the fastest path to net-zero is making every kilowatt count — and that requires transformer-scale AI at the core of grid operations, not the periphery.
Our founders spent years inside grid control rooms. GridMind exists because they knew what operators actually needed — not what analysts thought they needed.
Our ML team includes researchers from DeepMind, MIT Energy Initiative, and Stanford SLAC. We publish our core methods and hold 14 pending patents in grid AI.
Operating across 4 continents, our federated learning architecture delivers global intelligence while respecting every jurisdiction's data sovereignty requirements.
Co-Founder & CEO
Former VP Engineering at California ISO. 16 years in grid operations and energy market systems.
Co-Founder & CTO
PhD ML, MIT. Former Research Scientist at DeepMind Energy. Leads our transformer model architecture team.
Chief Revenue Officer
Built enterprise sales at Siemens Energy and GE Digital. Closed GridMind's first $50M in ARR.