Startups

Gyre Energy's AI Platform Turns Cold Storage Into a Flexible Power Asset

Kasun Illankoon

By: Kasun Illankoon

6 min read

This summer, as heatwaves stretch from the Gulf Coast to the Gulf states, the machines working hardest are not visible from the street. They sit behind loading docks and warehouse walls, in the compressors and chillers that keep frozen food, vaccines and industrial materials at safe temperatures around the clock.

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Cooling has quietly become one of the largest and least examined line items in the global economy's energy bill, and a small company founded at Oxford University is betting that the same equipment long treated as a fixed cost can be turned into something far more valuable: a flexible energy asset that pays for itself.

That company, Gyre Energy, has raised more than 1.3 million dollars in pre-seed investment and grant funding as it moves from proving its technology in a single UK warehouse to deploying it inside one of the world's largest logistics networks. The round was led by Speedinvest, with participation from Rule 30 and Plug and Play, and will fund Gyre's expansion into large-scale cold chain environments, including a 140,000-square-foot facility operated by a major global logistics company responsible for moving temperature-sensitive goods across international supply chains.

The Hidden Cost Behind Every Cold Room

Cooling now accounts for roughly a fifth of global electricity demand, according to Gyre, a figure that is rising fast as warmer summers, expanding cold chains and the electrification of everything from data centers to delivery fleets push more load onto power grids. The International Energy Agency has separately warned that cooling demand is straining electricity systems worldwide, and it projects that global electricity demand will grow around 50 percent faster between 2026 and 2030 than it did over the previous decade, driven largely by air conditioning, data centers and electrification. Those are precisely the loads Gyre Energy was built to optimize.

For cold storage operators, the arithmetic has long been unforgiving. Refrigeration can account for up to 90 percent of a facility's total energy use, and until recently there was little an operator could do about it beyond replacing aging equipment at enormous capital cost. Gyre's approach avoids that overhaul entirely.

Its artificial intelligence platform studies how an individual site actually behaves, learning its thermal patterns, its usage rhythms and the shape of the energy market around it, then uses that model to forecast cooling demand and adjust the system in real time. A companion thermal energy storage layer banks cooling capacity when power is cheap and cleaner, then releases it during expensive peak periods, so compressors run less exactly when electricity costs the most.

Proof Before Scale

Gyre Energy has already shown what that combination can do. In its first published commercial deployment, at a 2,900-square-foot frozen storage facility operated by a large UK chilled and frozen distribution business with a nationwide depot network, the platform cut electricity costs by 38 percent and daily energy consumption by 35 percent, with a payback period of under a year and a half. Those numbers are now the foundation for a far bigger test. Inside the new 140,000-square-foot chamber, Gyre's performance will be measured against an independently verified IPMVP baseline, the same measurement and verification protocol used across the energy efficiency industry to hold new technology to account.

Dougald Coulson, Gyre Energy's co-founder and chief executive, said cooling has historically been an area where operators had almost no control.

"Cooling already accounts for around a fifth of global electricity demand, and it's rapidly growing. For the operators we work with, energy is one of their largest costs and cooling is the part they've had the least control over. What's really resonating with our customers is that the same infrastructure that has historically been a cost line can become an energy asset. Working with one of the world's largest logistics operators gives us the opportunity to prove that approach in one of the most demanding cold chain environments in the world."

Why Investors See a Bigger Pattern

For Gyre's backers, the appeal extends well beyond one warehouse. Alex Davis, an investor at Speedinvest, said the company is addressing a problem that has been overlooked relative to its scale.

"Cooling is one of the most fundamental and overlooked problems in the energy transition, and Gyre is tackling it head on. This is AI applied to the real world, delivering real outcomes in the shape of lower energy consumption and more resilient supply chains. In the twelve months since we invested, Dougald, Tom, Mike and the team have executed exceptionally, moving from proven first commercial deployment to working with one of the world's most sophisticated cold chain operators. Gyre is building a core layer of the energy stack of the future, and we're delighted to be on this journey with a team that is global by nature and unbounded in its ambition."

That framing, cooling as a piece of energy infrastructure rather than a background utility cost, is becoming harder to dismiss. In North America, utilities are already grappling with summer peak demand records driven by air conditioning and the rapid buildout of AI data centers, many of which depend on industrial-scale cooling systems that behave much like the cold rooms Gyre optimizes.

In the Gulf region, where cooling can represent an even larger share of total electricity use because of sustained extreme heat, the same underlying problem exists at a different scale, and the same class of AI-driven demand flexibility is increasingly viewed by regional utilities and sovereign investors as a practical near-term lever, alongside renewables, for managing grid strain without new generation capacity.

From Oxford Classroom to Global Cold Chain

Gyre Energy was founded by Dougald Coulson, Michael McKenna and Tom Gibson, all Oxford MBAs who bring backgrounds spanning machine learning, energy systems and energy technology commercialization. The company has built a track record quickly relative to its age, being named a SXSW London Venture Spotlight winner in second place, selected as an MIT Climate Solver from a global pool of nearly 2,900 organizations, and awarded multiple Innovate UK grants.

With its new funding secured, Gyre is now preparing for a phase of growth centered on larger customer deployments across cold storage, food logistics and industrial cooling, with data centers identified as a natural next frontier as operators there face mounting pressure to control energy costs, manage heat and protect uptime while AI workloads continue to expand. If the company's results at the new 140,000-square-foot site match what it achieved in its first commercial deployment, the case for treating cooling as an energy asset, rather than simply an unavoidable cost, will be substantially harder to ignore. 

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