Northumbrian Water uses AI to listen for hidden leaks

TL;DR:

• Northumbrian Water is trialling FIDO Tech’s acoustic sensors, which use AI to detect underground leaks by analysing pipe sound recordings in real time.
• The six-month pilot, begun in November 2025, has already saved nearly 6.4 megalitres of water a day — roughly 25,000 bathtubs.
• The AI flags areas for technicians to investigate even where no water is visible at the surface, speeding response and cutting emergencies.

Leaks are notoriously hard to find when there is nothing to see above ground, and traditional detection leans on manual inspection and reactive call-outs. The trial swaps guesswork for continuous listening: sensors capture the acoustic signature of escaping water inside the network, and the AI sifts those recordings to pinpoint likely leak sites.

Practical AI on the network

Jim Howey, head of water networks at Northumbrian Water, said the technology helps the utility “find leaks earlier” and narrow down locations so crews can fix them faster. Rather than replacing engineers, the system directs them — turning a broad search across miles of buried pipe into a targeted task.

The case is a clean example of AI applied to an unglamorous but consequential operational problem. Leakage is a long-standing pressure point for the UK water sector, where companies face regulatory targets to cut the volume lost from their networks and growing scrutiny over resilience during dry spells. Acoustic AI does not solve that on its own, but tools that surface hidden faults faster chip away at a problem that manual methods struggle to scale to. The early daily-saving figure suggests meaningful volumes are recoverable when detection improves.

Looking forward

If the pilot’s results hold across a full deployment, expect wider interest from UK utilities under pressure to reduce leakage and demonstrate environmental stewardship. The broader signal is that some of AI’s most tangible UK wins are arriving not in headline-grabbing products but in infrastructure maintenance — quietly saving water, money and engineer hours. The test now is whether savings sustain beyond a controlled trial and justify network-wide rollout.