GridFM is a non-profit, which supports a growing community for advancing foundation models for the electric grid. We enable utilities, researchers, national laboratories, technology partners, and open-source contributors to build shared data pipelines, model architectures, benchmarks, applications, and trustworthiness practices for next-generation grid intelligence.

Open and collaborative
A community effort spanning utilities, academia, national labs, industry, and open-source contributors.

Physics-aware and grid-native
Models designed around grid topology, constraints, uncertainty, and trusted solver workflows.

Built for real applications
Supporting power flow, optimal power flow, contingency analysis, state estimation, planning, forecasting, distribution systems, interconnection, and control-room decision support