Grid observability, no new hardware

See your entire grid. Without new sensors.

Griddle builds a live digital twin of your electricity network from the data you already have: smart meters, SCADA, IoT. Physics-informed AI fills in the gaps.

Built by GCSC

The Problem

You can't manage what you can't measure.

Electrification is pushing grids to their limits. Solar, EVs, heat pumps, shore power and industrial electrification are turning once-predictable networks into dynamic systems, but most grids are only partially metered. Operators are left steering on worst-case assumptions, static capacity limits and spreadsheets.

Full sensor roll-outs would solve this, but they are expensive, slow, and lock you into a single vendor's hardware. Most of the information you need is already in the data you have; it just isn't being used.

  • Only a fraction of the network is metered, leaving the rest a blind spot
  • Capacity limits set by worst-case assumptions, not actual conditions
  • Instrumenting everything is slow, costly, and vendor-locked
The Solution

A digital twin that fills in the gaps.

Griddle fuses a physics-based model of your network with machine-learning state estimation. The result: a live, complete picture of voltages, currents and power flows, including the parts of the grid where no meter exists.

Works with the data you have

Smart meters, SCADA, IoT platforms, historical load data: Griddle connects to your existing sources. Vendor-agnostic by design. No new hardware required.

Physics + AI, not a black box

Machine learning estimates what isn't measured; grid physics keeps every estimate consistent and explainable. Each value comes with confidence bounds, so you know what you can trust.

Live capacity insight

Know the real headroom on every branch and connection, continuously. Feed it to your energy management system, planning tools or dashboards through open APIs.

How It Works

From raw data to a live grid twin.

1

Connect

Plug in your existing data sources and network model. Onboarding in weeks, not years.

2

Reconstruct

The digital twin continuously estimates the full network state, measured and unmeasured branches alike.

3

Act

Use live state and capacity limits in operations, energy management and investment planning.

Use Cases

One engine, many grids.

Ports & Terminals

Electrify berths and cranes with confidence. Know your real-time capacity before connecting multi-megawatt loads.

Industrial Estates & Multi-Tenant Grids

One grid, many tenants. Give every connection fair, verifiable capacity based on actual network state.

Distribution System Operators

Continuous visibility below the transformer without a full sensor roll-out. Target reinforcement where it's actually needed.

Energy Hubs & Communities

Unlock more solar, storage and charging on existing infrastructure by knowing the true limits.

Observability without the sensor roll-out.

Validated on real utility data and built on open, EU-backed grid modelling components.

Full Sensor Roll-Outs
  • Years of installation work and high CAPEX
  • Locked into one vendor's hardware ecosystem
  • Still only measures where a sensor is installed
Griddle
  • Software-only, deployed on the infrastructure you already own
  • Complete network state, including unmetered branches
  • Explainable estimates with confidence bounds, ready to drive decisions
Conventional Grid Software
  • Visualises meter readings; doesn't estimate what's missing
  • Assumes dense metering and a single-operator network
  • Struggles with fragmented, multi-tenant grids

Ready to see your grid?

Get in touch to explore what a digital twin of your network could look like.