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Asset intelligence at the edge.
UReason’s asset apps run where your assets are — on WAGO PFC controllers and edge devices, right next to the equipment. High-frequency data is processed at the source, and asset health is fed straight back into your control layer: DCS, SCADA and PLC.
The most revealing signals are high-frequency. They shouldn’t have to travel.
Streaming vibration, acoustic emission and fast electrical data to the cloud is expensive, slow, and often impossible where connectivity is limited. And when analytics live remotely, there’s latency between detecting a problem and doing anything about it.
Process fast data at the source
Capture and analyse vibration, acoustic and fast electrical signals at full fidelity, without shipping raw data off site.
Act with low latency
Detection and response happen next to the asset, not a round-trip away.
Send insight, not raw data
Transmit results, not gigabytes of samples, to reduce bandwidth use and cloud costs.
Keep running when the link drops
Edge deployment continues to monitor and protect the asset offline.
Keep data on site
Sensitive operational data stays within the plant boundary.
The open controller and edge platform.
The industrial-grade foundation that makes near-asset analytics practical and deployable.
Open, Linux-based controllers
Run classic IEC 61131 control logic and high-level applications, so a predictive app sits right alongside the control program.
Container-ready edge computing
WAGO PFC and Edge devices support containers, making UReason’s apps straightforward to deploy, run and update on the controller itself.
Ruggedised, near-asset hardware
Modular controllers and I/O engineered for extreme temperature, vibration and EMC — the conditions next to rotating equipment.
Maintenance-free field wiring
Push-in Cage Clamp connections are vibration-proof and long-term stable, so the edge install stays dependable where machines shake.
Broad industrial connectivity
Modbus, PROFINET, EtherNet/IP, OPC UA, MQTT and more — clean integration down to the sensors and back to the control layer.
Cloud when you want it
Remote management and aggregation for hybrid edge-plus-cloud deployments.
Equipment-specific asset apps, packaged to run at the edge.
Applications that turn operational data into a prioritised, explainable picture of asset health — per equipment class.
Centrifugal pumps
Abnormal operating behaviour, degradation and developing failures.
Motors / VFDs
Electrical and mechanical degradation and abnormal operating patterns.
Gearboxes
Developing mechanical degradation and intervention priority.
Control valves
Stiction, performance degradation and abnormal valve behaviour.
Heat exchangers
Deteriorating performance and conditions requiring investigation or cleaning.
Compressors
Efficiency loss, fouling and developing mechanical degradation.
Filters
Differential pressure and blinding, to time changeouts and cleaning.
Mixers / agitators
Abnormal loading, seal and drive-train degradation.
Across all of them: condition monitoring, failure-mechanism insight, prediction, cross-equipment prioritisation, a clear recommended action and full explainability — plus soft sensors that infer measurements you don’t physically have.
The intelligence flows back into the DCS, SCADA and PLC.
Because UReason runs on a WAGO controller that already speaks industrial protocols, results don’t dead-end in a separate dashboard.
At the edge, a soft sensor becomes a live process signal.
Because the apps run locally with access to high-frequency data, UReason generates model-based virtual measurements in real time and publishes them onward.
Values you never instrumented
Infer values that aren’t directly instrumented, extending coverage without adding hardware.
Efficiencies, internal conditions and derived variables, available as signals.
A virtual twin for every transmitter
Cross-check a physical measurement against its virtual twin to catch drift, fouling or miscalibration early.
Instrument problems found before they corrupt control or analytics.
No blind spots during maintenance
Maintain an estimated value when an instrument is offline or under maintenance.
Equipment monitoring never goes dark.
Choose edge-only, hybrid or brownfield deployment.
Sites with limits
Limited connectivity, strict data-residency requirements, or latency-critical assets.
Hybrid via WAGO Cloud
Analyse locally, aggregate centrally for fleet-wide visibility.
Add a controller, tap existing signals
Next to the asset, without re-architecting the control system.
Put UReason’s asset intelligence where your equipment is.
On open, industrial-grade WAGO hardware.
WAGO provides the controller and edge platform. UReason provides the predictive asset apps that run on it. Together they turn high-frequency equipment data into real-time, actionable intelligence — right at the asset, and right back into the systems that run your plant.
