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Building the world's first foundation model of the electric grid. The world's most important physical industry is under unprecedented stress. We are using ML to build the grid for the 22nd century.
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BUILT BY ENGINEERS,
SCIENTISTS & RESEARCHERS FROM
Fewer outages, lower costs,
more energy delivered
FORECASTING Weather, generation, and demand forecasting We have invested in some of the world’s best weather researchers to build the most accurate high-resolution forecast for generation and load. Our models pair numerical weather prediction with graph neural networks, and are verified against ground stations rather than reanalysis, where most AI forecasts lose accuracy. Updated as new data arrives: 3 km resolution, hourly, across 48-hour, 14-day and 7-month horizons, resolved to the asset, the node, or the market. Try now
MAPPING Asset discovery & network mapping Most utilities still can’t pinpoint an asset’s location or condition. We take the records you already have and rebuild the rest from satellite, drone, street view and field imagery: topology, asset condition, vegetation risk, and connectivity from source to end point.
MODELLING Network modelling & predictive intelligence In an ideal world every node on the grid would be metered. Almost none are, which leads most people to assume grid behaviour can’t be learned at that resolution. It can. Our graph neural networks infer what the unmetered network is doing from the parts that are measured: state estimation with partial metering, losses and overloads located, and power flow and OPF across transmission and distribution.
PLANNING Contingency & risk planning Most planning tools still assume a single forecast and a fixed set of contingencies, but the uncertainty envelope around weather and demand has widened. We run thousands of weather and topology scenarios against your network and show which ones actually breach a limit: N-1 and N-1-1, failure propagation under extreme weather, thermal models for lines and transformers, and dynamic line ratings.
Foundation models, designed for the grid VISION · WEATHER · PHYSICS
Turns satellite and street imagery into a geo-referenced network graph, ready for physics.
Computer vision Deccan
High-resolution forecasts from thousands of sensors, modelling non-linear atmospheric dynamics.
Weather Indus
Learned solvers for grid physics across contingencies, from bus-branch topology and telemetry.
Power flow Mycelium
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