Waste heat from gas turbine-powered AI data centers could be turned into purified water, according to a newly-launched company, Gneuton.

Gneuton, headquartered in Pittsburgh, Pennsylvania, has developed a technology that utilizes excess heat from gas turbines through thermal distillation, eliminating the need for external energy sources and reducing CO2 emissions associated with traditional water treatment methods.

Additionally, the company claims that the system is scalable and engineered for integration within large-scale AI data centers, with the potential to produce millions of gallons of purified water annually per installation.

According to Gneuton, the solution is a closed-loop system and can harness the untapped thermal energy from gas turbines to drive a distillation process, producing purified water without additional energy input. It can utilize varying forms of wastewater, including raw water as well as oilfield wastewater.

"At Gneuton, our mission is to transform AI infrastructure from one of the world's largest consumers of fresh water into massive net-positive sources of fresh water, especially for ecosystems facing critical scarcity. We believe the future of AI must be regenerative, not extractive. That's why we're pioneering technologies that repurpose thermal waste and optimize energy-water cycles to actively replenish the environments AI depends on," said Brad Martineau, CEO of Gneuton.

The company stated that it intends to partner with leading energy and technology firms and aims to deploy its first commercial pilots within the next six months, targeting major AI hubs in North America, Europe, and Asia.

"By converting waste heat into a resource that tackles water scarcity, we're not just purifying water, we're creating a new paradigm for carbon-neutral innovation. This technology is ready to deploy at scale, helping hyperscale data centers meet their sustainability goals while contributing to global water security," said Martineau.

As of September 2025, no public information has been released regarding the company's funding.