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ABOUT AXIOM CLOUD

Axiom Cloud is the AI platform for commercial refrigeration and HVAC.

We connect to the refrigeration and HVAC controllers that grocery and cold-storage operators already own. No new hardware, no new sensors. Our AI catches refrigerant leaks early, predicts equipment failures before they happen, cuts energy costs, and automates American Innovation and Manufacturing (AIM) Act compliance across multi-site portfolios.

10+

major enterprise customers in North America

SOC 2 Type 2 certified  ·  Cold-chain roots since 2016  ·  Built by refrigeration engineers and data scientists

93%

of refrigerant leaks caught before the EPA reporting threshold (2024)

47 days

faster leak detection than hardware sensors (published head-to-head case study)

U.S. PATENT

12,359,856

for indirect refrigerant leak detection (granted 2025)

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IN THE COMPANY WE KEEP

The EPA lists four manufacturers of indirect Automatic Leak Detection (indirect ALD): Copeland, Hussmann/Panasonic, Matalex, and Axiom Cloud.

The list comes from the EPA’s own technical support document behind the AIM Act’s refrigerant management rule, published September 2024. We are the only software-first company on the list. The other three build refrigeration equipment. We build the AI that watches it.

U.S. Patent 12,359,856: indirect refrigerant leak detection, with or without receiver level sensors (granted July 2025)

Our team started working together in 2014, on a premise: the last major roadblock to a clean energy future is not cheaper solar panels, wind turbines, or electric vehicles — it’s getting huge amounts of intermittent renewable energy onto the grid, with load flexibility and energy storage. So in 2016 we founded Axiom Exergy and built the Refrigeration Battery: hardware that stored energy in a grocery store’s refrigeration system itself. It worked. But after years alongside store facilities teams, we kept seeing a bigger problem. Refrigeration racks fail silently. Leaks run for weeks before anyone notices. Energy is wasted around the clock, and nobody has time to watch the data that would catch all of it.

The insight that changed the company: the data was already there. Every store controller was quietly logging temperatures, pressures, and compressor behavior. Nobody was listening to it.

So in July 2020 we rebuilt the company as Axiom Cloud: AI that runs on the controllers our customers already own, no new hardware. The first apps carried the thread. Virtual Battery turned a supermarket’s frozen inventory into thermal energy storage, no lithium-ion batteries required; Virtual Technician put the same data to work on the maintenance, energy, and refrigerant problems that plague the industry; Facilities Analyzer (early 2021) added enterprise visibility across whole portfolios. Those apps grew into today’s modules: early leak detection, predictive maintenance, energy optimization, and HVAC. In 2021 our software predictively identified its first refrigerant leak at a grocery store, before anyone else knew it existed. It has been doing that, at growing scale, ever since. And we run as a managed service, not a tool: every anomaly the AI raises is reviewed by a US-based refrigeration specialist before it reaches a customer.

The name never changed its meaning. Exergy is the portion of energy available to do useful work; it’s still in our DNA. We exist to stop useful work from being wasted in the world’s cooling systems.

OUR STORY

From storing cold to understanding it

Amrit.webp

B.S. Atmosphere & Energy Engineering, Stanford
Forbes 30 Under 30 (2017)
15 years in cold chain optimization

Co-Founder & CEO

Amrit Robbins

MILESTONES

The record, year by year

A decade in the cold chain. Eight dated entries, most with a public receipt.

2016

Axiom Exergy is founded

The company ships its first product concept, the Refrigeration Battery, which stores energy inside a supermarket’s refrigeration system, and begins the quarterly investor-update cadence it still keeps today. Its founders are later named to Forbes 30 Under 30 in Energy (January 2017). How Axiom Exergy became Axiom Cloud.

JULY 2020

Axiom Exergy is founded

After the “Axiom Cloud” software line first appeared in late 2019, the team rebuilds the company around a software-only thesis: AI running on the refrigeration controllers customers already own. Read the announcement.

SPRING 2021

First refrigerant leak detected — predictively, without new sensors.

Axiom’s AI predictively identifies and diagnoses its first refrigerant leak at a grocery store, before business interruption and before further emissions. The first of many.

AUG 2023

AI Early Leak Detection launches.

Axiom releases its AI-based early refrigerant leak detection module, tested at 242 grocery and cold-storage facilities, the product line that drives a surge of adoption among enterprise retail grocery and cold storage companies.

SEPT 2024

The EPA lists Axiom Cloud.

The EPA’s technical support document behind the final AIM Act refrigerant rule lists Axiom Cloud as one of four U.S. manufacturers of commercially available indirect automatic leak detection products, after first citing Axiom in the proposed rule in October 2023. EPA docket.

JAN 2025

Largest rollout to date.

Axiom announces a major rollout to hundreds of stores for a top-10 grocery retailer. Axiom proves it can roll out to 100+ new facilities per week.

JULY 2025

Patent granted.

The U.S. Patent and Trademark Office (USPTO) grants Axiom Cloud U.S. Patent 12,359,856 for AI-powered refrigerant leak detection, with or without receiver level sensors.

2026

The platform compounds.

AIM Act automatic-leak-detection enforcement begins January 1, 2026, and Axiom customers enter it already compliant. The platform adds the HVAC Optimization Module and the AI Insights Agent, and extends full anomaly detection to transcritical CO2 refrigeration — live in production at a major US grocer, alongside the conventional hydrofluorocarbon (HFC) systems and ammonia-based cold-chain facilities Axiom has already served. Its AI is now trained on 124,000+ real-world anomalies — and as of October 2025, customers resolve 70% of predictive anomalies within 45 days. How customers resolve 70% of anomalies.

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