Predictive Maintenance · WATER UTILITIES
Pumps that warn you before they fail the network.
Water and wastewater utilities run on pumps — and pump failure is rarely an isolated event, it cascades through distribution and treatment. The XMPro AO Platform fuses real-time pump telemetry with predictive analytics to detect early signs of wear, optimise efficiency and schedule maintenance against actual condition.
What's getting in the way today.
Utilities face three compounding pressures keeping pumps reliable:
Early failure detection
Signs of wear in seals, bearings and impellers progress quietly. By the time the failure is audible, the cost has already compounded.
Efficiency optimisation
Pumps drift off their best-efficiency point with wear and operating conditions, and the energy cost shows up in the utility bill long before anyone identifies the cause.
Maintenance scheduling
Balancing regular maintenance against downtime and service disruption is hard without a defensible read on each pump’s actual condition.
Pump Health Monitoring — how it works.
A unified view of every pump across the network — fed by the sensors already on the asset, ranked by predicted failure, and tied to maintenance scheduling and operator workflow.
The platform integrates real-time sensor data with historical maintenance records and operational parameters to monitor pump performance continuously. ML and predictive analytics models analyse vibration, motor current, flow and pressure telemetry to surface specific failure modes — bearing wear, seal degradation, impeller damage, motor efficiency drop — with confidence scoring. A digital twin lets reliability engineers test interventions virtually. Threshold breaches generate ranked maintenance recommendations with event data, parts list and crew assignment, while operator dashboards show map-based asset status, schedule overlays and drill-down into individual pumps.
*Illustrative dashboards from the platform. Layout, signals and decision points are scoped per site.
Scope this for your operation.
Tell us about your fleet, your control maturity and the lever that matters most. We’ll map this use case to your starting point.
What this looks like in operation.
Predictable pump uptime
Failure modes surface days ahead of stoppage, so crews and parts move into planned outage windows instead of emergency response.
Lower energy cost per ML pumped
Per-pump efficiency baselines turn pump-energy spend into a leverable line item rather than an aggregate cost.
Right-sized maintenance
Work moves from OEM calendar to the pump’s actual condition, freeing crew time for higher-value reliability work.
Built for these industries.
Other solutions you might explore.
Not a concept. In production.
XMPro is deployed at Tier 1 global operators across asset-intensive and mission-critical industries — delivering measurable results across predictive maintenance, process optimisation and operational intelligence.
Now pushing the frontier.
MAGS agents are achieving what no other industrial platform has demonstrated — sustained autonomous operations at enterprise scale.
