Water utilities face persistent challenges in identifying hidden leaks across extensive distribution networks. Artificial Intelligence (AI) enables faster analysis of large datasets and supports more accurate detection of infrastructure problems before significant water losses occur. This capability strengthens both resource resilience and long-term sustainability by reducing avoidable waste. Explore how the Thames Water and Origin Tech partnership aligns operational leak detection with international benchmarks.
Data Integration and Network Visibility
AI improves water management by combining information from multiple monitoring sources into a unified operational view. Utilities often manage large networks that generate data from sensors, inspections, maintenance records, and remote monitoring platforms. AI systems process these datasets at scale and identify patterns that may indicate leaks, equipment failures, or abnormal network conditions. This approach increases network visibility and supports more informed operational decisions.
Predictive Infrastructure Analytics
AI supports predictive management by identifying risks before they develop into major service disruptions. Machine learning models evaluate historical and current network conditions to estimate the likelihood of infrastructure failure. Utilities can use these insights to prioritize inspections and maintenance activities. Predictive analytics helps reduce operational costs while improving service reliability and resource efficiency.
Remote Detection Technologies
AI enhances the value of remote sensing technologies by improving the interpretation of complex datasets. Satellite imagery, acoustic monitoring, and other detection tools can generate large volumes of information that require rapid analysis. AI systems help distinguish probable leaks from background conditions and reduce the number of false indications. This capability allows field teams to focus resources on locations with the highest likelihood of confirmed water loss.
Operational Efficiency Frameworks
AI contributes to operational efficiency by accelerating the identification, verification, and resolution of network issues. Faster detection reduces the time between problem occurrence and corrective action. Utilities can allocate personnel more effectively and improve the productivity of field operations. The resulting reduction in water loss supports sustainability objectives while helping utilities maintain service performance across large distribution systems.
Case Study: Thames Water and Origin Tech Partnership
Thames Water announced a 13-month partnership with Origin Tech that launched in March 2026 to integrate Origin Orbit® leak detection technology into its routine leakage operations. According to Thames Water, the agreement makes it the first water company to fully incorporate Origin Orbit® into business-as-usual leakage management activities. The initiative is implemented through a contractual partnership between the utility and the technology provider, creating an operational framework for the deployment of AI-powered leak detection across the network.
The programme applies to Thames Water’s leakage operations and includes the deployment of a team of 20 specialists. Thames Water stated that the technology is expected to identify approximately 25 leaks per week per crew. Origin Orbit® uses AI-driven satellite technology to locate leaks that are difficult to detect through conventional methods. The technical mechanism combines satellite-derived data analysis with operational leak investigation and repair processes, enabling more targeted field interventions.
The partnership builds on several months of successful trials and follows an earlier 18-week trial period. During that trial, Origin Orbit® identified more than 800 leaks across the Thames Water network and helped save an estimated 8.7 million litres of water per day. Thames Water anticipates that the full operational deployment could help reduce leakage by more than 100 million litres per day. The technology also supports the identification of non-visible leaks, which Origin Tech reports account for 92 per cent of detected leaks.
Institutionally, Thames Water oversees operational implementation and leak repair activities, while Origin Tech provides the detection platform and analytical capabilities. Together, these technical and operational mechanisms support improved water efficiency, reduced water loss, and more sustainable management of distribution infrastructure.
Take-Out
Artificial intelligence can strengthen water management when utilities combine advanced analytics, remote detection technologies, and operational integration to reduce losses, improve efficiency, and support long-term resource resilience.