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Pravāh is developing advanced AI solutions to tackle the growing complexities of the electricity grid. The company's technology utilizes deep learning for enhanced forecasting of electricity demand and generation, accounting for volatile factors like extreme weather and the increasing integration of electric vehicles and rooftop solar. By employing graph neural networks, Pravāh creates dynamic grid models that learn how conditions propagate through the network, even with incomplete data. Furthermore, their use of computer vision allows for detailed mapping of grid infrastructure and solar installations, identifying previously unknown blind spots. Probabilistic simulations powered by reinforcement learning enable the testing of numerous future grid scenarios to preemptively identify risks and failure modes. Pravāh's solutions are already deployed with utilities across India, Germany, and the United States, helping to reduce operational risks and improve grid management.