Cutting costs for cooling  operators by up to 50%

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The problem we're solving

Cooling
is intensive

20%
of total global energy demand

Cooling
is expensive

Up to 90%
of cold storage energy spend

Demand
is accelerating

3x
demand by 2050

The only energy stack built for cooling

Combining physics-based AI and thermal energy storage to cut cooling costs by up to 50%, reduce emissions and turn cooling from a liability into a flexible, grid-interactive asset.

Gyre AI

A digital twin of the cooling system. It learns how the facility behaves and automatically optimises cooling cycles to cool when energy is cheap and green.

Thermal Energy Storage

A cold battery integrated into the cold rooms. It stores cheap energy and releases it to reduce costs and stabilise temperatures.

Monitoring & Controls

Real-time visibility and alerts across temperature, energy and door-open events. Controller agnostic, fully automated, with human-in-the-loop.

"£1.2 billion was spent on energy by cold storage operators last year in the UK."

Financial Times, 2025

Our platform integrates into existing cooling systems to learn, optimise and automate cooling

Our AI learns how each individual site behaves—its thermal dynamics, usage patterns, and the energy market around it.

WEEK 0-2
Calibrate
Rules-based framework applied to site, uplifts to best practice control regimes.
WEEK 2-6
Load Shift
Leverage installed thermal storage, charge when energy is cheap and green.
WEEK 6-12
Adaptive Control
AI deployed, with policy to maximise kWh savings, maintain temp. safety.
Ongoing
Dynamic Learning
Rules-based framework applied to site, uplifts to best practice control regimes.

Industries

Proven in the field, and outcomes continue to improve

38%

Energy cost savings,
IPMVP verified

91%

Reduction in temperature
excursions

£320k

Product loss avoided during an unplanned compressor failure

<1.5 yrs

Expected payback
period

Backed by leading
investors and partners