Water utilities lose up to 40% of supply due to invisible leaks and pressure mismanagement. Traditional acoustic methods are reactive; by the time a leak is detected, millions of gallons are already lost.
Causal Leak Detection
GridBrain applies Causal AI to hydraulic models, identifying discrepancies between expected pressure and real-time flow to pinpoint anomalies with surgical precision. This is achieved through district metering intelligence, which analyzes DMA data to isolate sub-network losses, and pressure-flow causality analysis to separate legitimate demand spikes from pipe bursts. Furthermore, this approach allows for energy optimization in pumping, effectively reducing burst frequency by smoothing pressure transients.