Castle Rock Bets on AI to Save Millions of Gallons

Colorado utility pilots hydrant-mounted sensors to cut losses and modernise ageing systems

21 Feb 2025

Castle Rock, a fast-growing community south of Denver, is trying a novel way to stop its pipes from leaking. Each year the town loses as much as 240m gallons of treated water to unseen cracks, worth roughly $650,000 in foregone revenue. Traditional leak detection, reliant on occasional inspections and luck, rarely spots problems until roads are flooded.

The utility has begun piloting an artificial-intelligence system, hydrant.AI, which attaches sensors to fire hydrants. These devices listen to water flow and track pressure changes. Algorithms then flag suspicious patterns, sending alerts to crews who can intervene before minor seepage becomes an emergency.

For Castle Rock Water, the appeal is not just efficiency but foresight. Early detection means fewer sudden repairs, less damage to property and fewer traffic-snarling closures. It also helps conserve supplies at a time when the American West is parched. “This is not just about patching pipes,” notes a town spokesperson. “It is about transforming how we manage water, with intelligence and foresight.”

Utilities across the country are experimenting with digital tools, from predictive maintenance to smarter treatment plants. Castle Rock’s project is notable for its modest cost and easy replication. If it works, other small towns might adopt similar systems, easing the strain on their ageing networks without vast new spending.

The obstacles are real: cybersecurity risks, integration with old equipment and the up-front cost of sensors. Yet the alternative, letting water and money trickle away, looks less appealing. As droughts deepen and infrastructure creaks, using AI to hear trouble before it erupts may prove less a gimmick than a necessity.