The plant
Clean water leaves the plant.
From here, no one can see it.
Predictive leak detection for water utilities. Your existing data, turned into a live map of network risk. No new hardware to start.
One drop's journey, and how Trace changes the ending.
The plant
From here, no one can see it.
Under the street
No alarm. No puddle. For months.
The loss
Every day, the world's networks lose an estimated 45 million cubic metres of treated water.
Lost worldwide since you opened this page
0 m³
Based on World Bank estimates of global water loss.
Detection
Trained on the network's own records, it flags the next failure, down to the street.
The fix
A planned repair, not a burst main.
A glimpse below. The full platform is shown live, in a demo.
Every pipeline scored by risk · live severity map · one clear workspace
SCADA, GIS and leak records. First risk maps in weeks, no hardware needed.
AI trained on your network's own history, so crews go where it matters first.
For even sharper real-time accuracy, we can add sensors from any vendor. Always your call.
In a blind retrospective test, Trace was given only historical SCADA, GIS and leak records from Oman's largest water utility. From that data alone, it identified the pipelines the utility would independently choose to rehabilitate, six to nine months ahead of the network's own timeline. When crews inspected the first flagged pipeline, they found three active leaks. Trace is now moving into a paid pilot across three zones.
2025 retrospective validation · inputs limited to historical network data.
Bring two years of history from one zone. Trace will show you where it fails next.
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