Physics-informed AI for real-time cascading failure prediction and adaptive control. Give operators foresight measured in milliseconds not hindsight measured in outages.
A physics-informed pipeline that turns hours of analysis into milliseconds of actionable foresight.
Load a 10,000-bus grid. Run cascading failure scenarios. See the collapse path in half a second. Operators get foresight, not hindsight.
Extract the 2-3 dominant physics modes from complex simulations. Use the Z3 SMT solver to mathematically prove ROM safety constraints. No black boxes.
Graph Neural Networks predict load-shed outcomes in under 2ms. Fast enough for real-time optimization, RL agents, and MCTS-based mitigation planning.
Regulatory pressure and federal funding are converging on grid resilience right now.
Annual US outage and weather losses
Grid security & resilience software market by 2028
US regulated utilities (primary market)
RTOs/ISOs managing bulk power (secondary market)
Compliance mandates accelerating adoption
DOE IIJA grid modernization funding 2024–2026
See a live cascade simulation or request our technical whitepaper to dive into the physics and verification approach.