Products
Reduce costs, prevent pollution
Real-time intelligence that helps you maximise network efficiency.
Our solutions
Inflow & Infiltration
Detection
Find where rainwater and groundwater enter your network
Blockage
Detection
Spot blockages days before they spill
Pump Station
Alerting
Catch pump faults early, with fewer false alarms
Rising Main
Alerting
Flag rising main bursts and anomalies fast
Spill
Analysis
Understand and evidence every spill event
Network
Control
Use network capacity smarter during storms
Proactive.
Predictive.
Powered by AI.
As urbanisation, climate change and population growth strain wastewater systems, our technology gives utilities the tools to stay ahead.
By analysing rainfall and wastewater networks, we provide accurate, real-time insights that drive smarter decisions.
97%
REDUCTION IN MONITORING ALARMS FOR WESSEX WATER
20%
reduction in I&I FOR ANGLIAN WATER
88%
PUMP ALERT HIT RATE FOR SOUTHERN WATER
case studies
Our solutions drive transformative results for wastewater utilities, municipalities and environmental agencies, helping organisations meet regulatory, environmental, operational goals while protecting the environment.
Yorkshire Water
In 2024, Yorkshire Water recognised that reactive alarm and incident management was no longer sustainable. Alarm noise was consuming operational capacity and crowding out proactive work. By embedding StormHarvester, the utility set out to build a proactive, insight-led way of working that could keep pace with future requirements without adding complexity.
South West Water
South West Water used StormHarvester to shift from reactive to proactive management, reducing reactive noise by 93%, with 363 issues identified early and 395 proactive investigations completed.
Barwon Water
StormHarvester and Barwon Water began working together in 2025 as part of a transition from reactive to proactive wastewater network management. The project focused on using a network of sewer level sensors, and machine-learning analysis, to generate proactive blockage alerts.
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