Closing the flexibility gap between buildings and the grid.

We build GridFlex — a platform that puts AI agents in homes and buildings to manage energy use and negotiate flexibility, with neighbouring buildings and with the network operators that keep the lights on.

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Agents in every building

An in-building agent ingests smart meter, thermostat and EPC data, then manages demand around how the building is actually used.

Flexibility, negotiated

Agents trade flexibility with their neighbours and with a coordinating layer that holds network-level context — local constraints, aggregated demand, weather.

One platform, two audiences

Occupants and asset managers on one side; Distribution Network Operators on the other. The same platform serves both.

Who we are

Four researchers from the Energy Resilience and the Built Environment CDT at UCL, working at the intersection of building energy demand and the electricity grid.