Edge-native intelligence for the local grid
Our proprietary AI understands how electricity is generated and used locally - learning and adapting to the unique dynamics of each network. By integrating real-time local data, the system forecast network constraint events before they occur and autonomously orchestrates energy assets to deliver infrastructure-grade virtual reinforcement.
The system simultaneously forecasts national electricity prices, flexibility market opportunities and spare asset capacity, not required for grid support, to execute optimised asset trading strategies.
The result is a smarter, more resilient local electricity grid, and greater financial returns for asset owners.
Peak shaving
Voltage stabilising
Phase balancing
Pioneering a new approach to fix the grid
Powered by Large Timeseries Transformer models, our architecture is developed in partnership with DNOs and community asset owners to solve the infrastructure crisis from the bottom up.
Closed-Loop Control
Delivers continuous, infrastructure-grade virtual reinforcement that safely manages local constraints even during cloud network outages.
Hardware Agnostic
Seamlessly aggregates multi-vendor EV chargers, heat pumps, and community-scale batteries into a single, highly scalable virtual asset.
Zero Capex
Eliminates costly physical grid upgrades with zero upfront capital cost to DNOs, monetising via ongoing support contracts.