Available now in Foresight by Datatecnics
Book a demo
Available now in Foresight by Datatecnics
Book a demo
Failure Indicator

Best-in-class failure modelling and investment planning

Leverage best-in class AI algorithms to predict and prevent pipe failure across your entire water network. Quickly build ROI-optimised investment schemes with confidence.
Failure Indicator UI
Improve network reliability
Optimise investment planning
Improve customer satisfaction
Meet regulatory targets

Discover and significantly reduce the risk of failure across your entire network

Get temporal AI predictions on which pipes in your network are likely to fail and when in the next 1-5 years.

See all your linear assets, colour-coded for high, medium, and low risk ratings. Zoom in and out of regions and toggle between map, satellite, and 3D-based views to easily explore the health of your network in one glimpse. Filter pipes by age, material, diameter and risk to get a granular understanding of risk in your network.

Build multiple better investment schemes, instantly

Build ROI-optimised investment schemes in seconds with the scheme builder feature. Generate investment schemes on-the-fly, optimising for cost, maximal failure prevention, and everything in between.

Easily save, export, and share schemes in PDF and CSV formats to justify decision-making and to share knowledge with stakeholders.

Strengthen your network’s resilience and deliver better customer service

Take targeted, predictive action to mitigate risk and enhance the overall resilience of your network.

Reduce supply interruptions and unplanned outages to deliver reliable service that your customers can trust.

"The Foresight platform is a critical enabler in our efforts to achieve a 15% reduction in leakage by 2025 and halve leakage levels by 2050"
United Utilities
John Birkhead
Water Network Strategy & Planning Manager, United Utilities
Identifying £3m in savings for United Utilities through AI-driven failure prediction

Learn how we helped the UK's largest water utility enhance its in-house statistical model with AI-driven mains failure predictions and identified areas where they could save millions through operational optimisations.

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