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From industrial data to maintenance action.
CONNECT is the industrial intelligence backbone. UReason is the equipment intelligence layer that tells maintenance teams what needs attention, and why — delivered and managed as a service, not another platform to run.
Data availability is rarely the problem.
If you run AVEVA PI and CONNECT, you already collect enormous amounts of operational data. The real question is how to turn all that equipment data into a small number of trustworthy maintenance decisions.
That is exactly where UReason fits. The proposition is not “add another predictive-maintenance application to your PI environment.” It is simpler than that and makes your existing AVEVA investment more valuable rather than asking you to replace anything.
As an AVEVA Managed Solution Provider, UReason connects to your existing PI and CONNECT environment, applies equipment-specific condition and predictive models to the data you already collect, and returns prioritised maintenance actions to the people responsible for keeping the plant running.
“You already have the data. UReason turns it into maintenance action.”
UReason does not compete at the data-platform layer.
AVEVA owns a strong story around PI Server, PI Data Infrastructure, CONNECT data services, visualisation, analytics, Flows and AI/ML enablement — an open platform built to integrate third-party analytics. The division of responsibility is deliberately simple.
The data fabric
The single source of operational truth.
- —Trusted real-time and historical operational data
- —Contextualised, multi-site, cloud and on-premise
- —Visualisation, sharing, integration and analytics
- —The evidence behind every diagnosis
The asset-maintenance intelligence
The interpretation layer that drives decisions.
- —Condition, diagnosis, prediction and prioritised action
- —Equipment-specific models and health scoring
- —Failure-mode detection and degradation tracking
- —Runs on top of your data infrastructure — never a competing one
Four layers, cleanly separated.
Industrial reality
The trusted operational data layer
The equipment intelligence layer
Maintenance execution
“My critical assets” — ranked and interpreted.
Instead of opening a site dashboard to a wall of PI trends, you see asset health, already interpreted. 1,250 monitored assets on this site.
| Asset | Equipment | Health | Issue | Priority | Recommended action |
|---|---|---|---|---|---|
| P-101 | Centrifugal pump | Critical | Bearing degradation | Critical | Inspect |
| M-204 | Motor / VFD | Degrading | Electrical anomaly | High | Investigate |
| HX-302 | Heat exchanger | Degrading | Performance degradation | High | Inspect / clean |
| GB-401 | Gearbox | Abnormal | Lubrication degradation | Medium | Monitor |
| CV-118 | Control valve | Critical | Stiction | Critical | Service |
From here you drill straight from asset, to the UReason diagnosis, to the underlying PI data that supports it — vibration and temperature trends, speed, load, suction and discharge pressure, operating regime, historical behaviour, health score and degradation trend.
That creates a credible, transparent relationship between the two systems. PI says: here is what the equipment has been doing. UReason says: here is what that behaviour means. Far stronger than asking UReason to become the historian or the visualisation layer — PI already is.
Your maintenance engineers don’t want “vibration high.” They want the leap from alarm to action.
Pump P-101
Priority #3 on siteNot generic AI. Dedicated applications per equipment class.
Language an operations or maintenance manager understands immediately.
Centrifugal pumps
Detect abnormal operating behaviour, degradation and developing failures.
Motors / VFDs
Detect electrical and mechanical degradation and abnormal operating patterns.
Gearboxes
Detect developing mechanical degradation and prioritise intervention.
Control valves
Detect stiction, performance degradation and abnormal valve behaviour.
Heat exchangers
Identify deteriorating performance and conditions requiring investigation or maintenance.
Compressors
Detect efficiency loss, fouling and developing mechanical degradation.
Filters
Track differential pressure and blinding to time changeouts and cleaning.
Mixers / agitators
Detect abnormal loading, seal and drive-train degradation.
Turn your PI data into equipment-specific intelligence.
One asset-health service — not a predictive project per plant.
CONNECT aggregates and contextualises data across sites and enterprise boundaries. That lets UReason be delivered as a managed, standardised Asset Health service across the whole installed base.
Fleet intelligence across the whole enterprise.
Once several sites are connected, assets can be compared company-wide — moving the proposition from predictive maintenance to enterprise asset performance intelligence.
PI says something is wrong. UReason tells you what to do.
What is happening?
Real-time and historical operational data.
What does it mean?
Equipment-specific condition and predictive intelligence.
What should I do?
Prioritised maintenance action. What → so what → now what.
You don’t need another predictive-maintenance system.
You already have the operational data. What’s missing is the layer that turns it into equipment-specific maintenance intelligence — delivered and run for you through the CONNECT ecosystem.
- CONNECT — your industrial information
- UReason — your equipment intelligence, managed for you
- CMMS / EAM — your maintenance execution
Each layer does what it does best. There is nothing to replace. You simply make the AVEVA investment you have already made work harder.
Another place to view PI data
UReason is not a monitoring dashboard or a historian. It is the specialised, managed intelligence layer that converts existing PI/CONNECT data into decisions about the physical assets that matter most.
A competing data platform
UReason runs on top of your industrial data infrastructure. PI remains the evidence and the single source of operational truth.
An isolated AI tool bolted on the side
Detected degradation, predictions, actions, interventions, results, failures and downtime avoided flow back into CONNECT — asset intelligence becomes part of your operational intelligence history.
Unlock the value of your existing
PI/CONNECT investment.
Industrial data → asset intelligence → maintenance action. Prioritised, explainable maintenance decisions on the assets that matter most — delivered as a managed service.
