One node per block, every distributed energy resource as a single dispatchable resource in electricity markets.
Every block runs on one purpose-built edge AI node — sized to coordinate the loads, generation, and storage of an entire row, multifamily building, or commercial property. Solar, batteries, EVs, HVAC, and smart thermostats dispatch as a single resource against retail rates and capacity prices.
Our nodes become the first hyperlocal grid-edge sensor for cities, and the only AI compute already stacked at every block — ready for the drones, robotics, and computer vision of today.
- NVIDIA Jetson
- OpenADR
- IEEE 2030.5
- Modbus / BACnet
- Federated learning
A second resource: the data the grid never measured.
Every block controller is also a sensor. Heat island, air quality, voltage, and outage telemetry stream into a privacy-preserving fleet model — a city-scale digital twin built for utilities, planners, and emergency managers.
Computer vision, edge inference, and federated learning — powered by NVIDIA Jetson — turn the deployed fleet into civic infrastructure — without exporting private home data. The energy stack pays the host. The data stack equips the city.
Heat island, air quality, voltage drop, outage detection, occupancy and load patterns.
On-device computer vision and edge inference. Federated learning aggregates fleet intelligence without raw data leaving the home.
A block- and city-scale digital twin. Smart-city enablement for utilities, public health, climate resilience, and emergency response.