The problem: Water utilities track patterns in consumption data of drinking water to discover unusual events such as leaks. Unlocking this valuable information is a slow and labour-intensive process, whereas an early-warning system would require real-time automated analysis.

To help utilities enable new services that save drinking water, Seita is developing a pattern detection and classification toolbox to provide real-time automated analysis for monitoring platforms.

The toolbox will be used by MeterInsight to deliver labelled history reports to businesses with smart water meters.