video1.0<iframe src="https://www.loom.com/embed/57dd774fe91e4deaa08aa898a27c978a" frameborder="0" width="1720" height="1290" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>12901720Loomhttps://www.loom.com12901720https://cdn.loom.com/sessions/thumbnails/57dd774fe91e4deaa08aa898a27c978a-41bc9c82949bdc58.gif255.559This Loom introduces GridGuard, an early-stage warning demonstrator that turns climate signals and power grid characteristics into explainable priorities for grid asset risk. It shows a national operational dashboard to compare climate scenarios over time from the current situation through the next 24 hours, with views at 6, 12, and 24 hours and live measuring. Users can explore assets on a map, view risk scores, and review conditions like rain, soil moisture, and slope. The platform can orchestrate AI agents to assess hazard, exposure, and vulnerability and generate a downloadable PDF report, using data sources such as NASA, GPM, and Copernicus.