We are an AI lab building and training the foundational models to transform the electric grid. The world is changing, but the grid is not. Forecasting is getting harder due to extreme weather, electric vehicles, and rooftop solar, making demand and generation harder to predict.
Utilities lack visibility into feeder and transformer-level conditions due to outdated asset records, creating operational blind spots. Grid modeling is unreliable because utilities often operate with partial and noisy data, leading to risky decisions.
We use machine learning to give utilities a real-time understanding of how the grid behaves under stress. Our technology includes deep learning-based forecasting, graph neural networks for grid modeling, computer vision to map infrastructure, and probabilistic simulations using reinforcement learning to test thousands of possible futures.
Our solutions are deployed with utilities across India, Germany, and the United States to forecast demand, model grid constraints, and reduce operational risk in live systems.