TARGETED OUTCOME
30-50% Reduction in unplanned pipe failures Predictive Maintenance · WATER UTILITIES
Aging pipe networks that warn you before they burst.
Most utilities know which pipes are aging. Few know which ones are about to fail this quarter. The XMPro AO Platform fuses corrosion, pressure and flow telemetry with installation history to rank the network by failure risk — weighted by the consequence of each break.
What's getting in the way today.
Aging pipe infrastructure is rarely a single failure. It is a slow-motion problem of capital allocation, consequence weighting and timing.
ISSUE 01 OPEN
Early detection of degradation
Wear, corrosion and structural damage progress quietly underground. By the time a leak surfaces, the cost has multiplied.
ISSUE 02 OPEN
Optimising maintenance schedules
Service interruptions, regulatory exposure and crew costs all pull against blanket inspection programmes — yet skipping maintenance is its own risk.
ISSUE 03 OPEN
Resource allocation
Capital and crew are finite. The hard question is which segments justify replacement now, which to monitor, and which to defer.
Aging Pipe Predictive Maintenance — how it works.
A unified view of the pipe network ranked by failure risk and consequence — fed by the sensors already in service, surfaced for operators in real time, and structured to feed capital planning directly.
Real-time data integration Predictive analytics Anomaly detection Automated recommendations Operational dashboards
The platform integrates electrochemical corrosion sensors, pressure transducers, flow meters and pipe vibration data continuously across the network. ML models analyse this telemetry to predict failure windows segment by segment, surfacing corrosion progression, leakage patterns, structural weakness and pressure variation — with confidence scoring. Anomalies in corrosion, pressure or flow trigger ranked alerts to maintenance teams. Operator dashboards show network health at a glance with drill-down into individual segments, and reporting feeds capital planning and regulatory submissions directly.
*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.
Aging Pipe Predictive Maintenance — explainer.
*Indicative ranges from industry research and customer engagements · actuals vary by site, control maturity and starting baseline.
What this looks like in operation.
Defensible capital plans
Replacement priorities are justified by data the regulator can audit, not by gut feel.
Fewer disruptive failures
Predicted failure windows let work move into planned outage slots rather than emergency response.
Lower water loss
Acoustic and pressure-anomaly signals expose hidden leakage that hydraulic models alone can’t see.
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.
0+
Days Autonomous
Safety-critical petrochemical operations
3-0+
Agents Per Team
Specialized agents coordinating per use case
0+
Teams Deployable
Scale across sites and business units
0%
Governed
Every agent, every decision, every action — auditable
