GridNua Engine

Intelligence for every energy decision.

GridNua turns changing grid conditions into local actions that make residential energy assets work harder.

From signal to decision

The engine links external signals directly to a local energy action.

Weather, market, and home signals flow into a local forecast and then an autonomous dispatch decision.
Weather

Solar

Market

Price

Home

Demand

Forecast

Local energy outlook

Dispatch

Buy. Sell. Hold.

01

Aggregate

Unifies weather, pricing, and household context into one operational view.

02

Predict

Converts those signals into localized yield and cost forecasts.

03

Execute

Translates the forecast into autonomous battery actions.

GridNua Mission

A responsive energy system begins at home.

GridNua gives every connected home the context to act with the grid instead of against it.

Modern grids require decentralized, algorithmic dynamic load-shifting to absorb volatility, align distributed generation with demand, and maintain stability under increasing electrification.

01

Make complexity useful

Turn changing weather, demand, and market conditions into decisions people never need to manage manually.

02

Keep power local

Put intelligence close to the assets and households that are most affected by every grid decision.

03

Build grid resilience

Help distributed energy behave as a coordinated system when the grid needs it most.

GridNua Founders

The people building a more responsive grid.

Eoin Curtis portraitFounder

Eoin Curtis

Co-founder · Systems

Systems engineering and computational social science background, with experience in cloud infrastructure primitives and hyperscale data center telemetry.

University College Dublin logo

Education

University College Dublin

Previous experience

Toast logo

Toast

Microsoft logo

Microsoft

Craig Quirke portraitFounder

Craig Quirke

Co-founder · Strategy

Growth and domain strategy background, with experience in EV market dynamics and customer acquisition.

University College Dublin logo

Education

University College Dublin

Previous experience

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EVE Mobility