MVPs for Electricity Grids
VolteGrid™
Grid Resilience Pathfinder
As traditional inertia declines, we leverage predictive AI and real-time data to forecast and mitigate critical grid constraints. Our accelerator helps network operators map dynamic systemic cascades to de-risk distributed energy resources (DER) integration to the distribution grid.
GridScout™
Active Measurement for Grid Observability
A GNN-powered accelerator that dispatches measurement robot fleet armed with power quality sensors, as active-learning agents, selecting each deployment to maximally reduce live state-estimation uncertainty across unmonitored distribution networks within a constrained fleet budget.
HyperVerde™
Hyperspectral AI for Vegetation Risk Quantification
A purpose-built AI accelerator fusing hyperspectral satellite data from EnMAP, PRISMA, Copernicus and HyperScout-2 to predict vegetation encroachment and wildfire ignition risk across distribution-grid rights of way, up to 90 days in advance, at near-zero marginal cost.
D-Twin™
Simulate Energy Scenario before Spending
D-Twin™ is a distribution-grid digital twin: a live, physics-grounded replica of the MV/LV network that runs a full power flow on every scenario commanded. As DER, EV and heat-pump uptake climb toward 2030 and beyond, it simulates voltage rise, thermal loading and losses responding in real time.