"More than 60% of leaks and breaks are due to...
pressure transients aka water hammer."

The Problem

Pipe Fatigue mostly occurs in a water network from undetected Pressure Transients

The Hidden Cost

Unplanned Operations
Expenditure

Capital Expenditure
Brought Forward

Reduced
Asset Life

More Service
Disruptions

Caused by Pressure Transients resulting in Cracks, Leaks & Breaks

Engineered to Eliminate Pressure Transients

Find. Identify. Mitigate.

TD•Edge + TD•Cloud: co-designed with leading water utility experts to detect pressure transients - reducing bursts, extending pipe asset life, lowering risk and improving customer service levels.

Australian Engineering Excellence

100Hz data acquisition with edge AI on an ultra-low-power architecture

Hybrid physics-based and AI models for advanced pressure-fatigue modelling

An enterprise-grade platform, purpose-built for water engineers

Case Studies

Previously Undetected Customer Pressure Transients Identified as the Cause of Main Breaks

Previously Undetected Customer Pressure Transients Identified as the Cause of Main Breaks

Saved millions in the medium term

We partnered with Greater Western Water and Intelligent Water Networks to trial advanced transient pressure software using machine learning in Melbourne,

South East Water Identifies and Mitigates Water Pressure Anomalies (Transients) using AI

South East Water Identifies and Mitigates Water Pressure Anomalies (Transients) using AI

TD•Cloud

Learn how this Melbourne metropolitan water corporation in Australia is improving infrastructure monitoring and water management using the TD•Cloud solution

Pressure transients Water Hammer South East Water

Extend Pipe Asset Life by Identifying the Cause of Pressure Transients

Extend Pipe Asset Life by Identifying the Cause of Pressure Transients

Machine Learning

SA Water uses machine learning to uncover root-cause(s) of pressure transients for a calm water network

Pressure transients Water Hammer Water Utility Pipe Fatigue

Transient Detection in Water Networks using Machine Learning

Transient Detection in Water Networks using Machine Learning

anomaly detection

The complexity of a water pipe network can be compared to that of arteries, veins and capillaries in the human body. In recent years there has been increasing

asset fatigue reduce main breaks distributed water systems data science

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The Value Proposition

Calm your network.

Deploy at scale across your pipe network to reduce leaks and breaks and extend pipe asset life using the TD•Edge + TD•Cloud

Reduce leaks and breaks by solving pressure transients.