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Most edge analytics come bundled with a specific box. This partnership decouples the two. Helin provides the vendor-neutral edge software stack; UReason’s asset apps run on top of it — so you get high-frequency data processed at the source and asset health delivered to your systems, on whatever edge hardware you choose.
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.
Capture and analyse vibration, acoustic and fast electrical signals at full fidelity, without shipping raw data off site.
Detection and response happen next to the asset, not a round-trip away.
Transmit results, not gigabytes of samples, to reduce bandwidth use and cloud costs.
Edge deployment continues to monitor and protect the asset offline.
Sensitive operational data stays within the plant boundary.
The software foundation that makes near-asset analytics deployable anywhere, without committing to a hardware vendor.
Runs on a wide range of industrial edge hardware, IPCs and gateways — no lock-in to a single controller or box.
Collect, normalise and process operational data at the source, at high frequency, ready for the apps on top.
Deploy, run, update and monitor edge nodes across many assets and sites from one place.
Local processing and store-and-forward, so nothing is lost when links are intermittent.
Concise results into control systems and cloud/analytics through OPC UA, MQTT, Modbus and more.
You choose the hardware. Helin runs the edge. UReason provides the intelligence.
Applications that turn operational data into a prioritised, explainable picture of asset health — per equipment class.
Abnormal operating behaviour, degradation and developing failures.
Electrical and mechanical degradation and abnormal operating patterns.
Developing mechanical degradation and intervention priority.
Stiction, performance degradation and abnormal valve behaviour.
Deteriorating performance and conditions requiring investigation or cleaning.
Efficiency loss, fouling and developing mechanical degradation.
Differential pressure and blinding, to time changeouts and cleaning.
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.
Running on Helin’s stack, the intelligence moves into the systems that run and oversee the plant.
Because the apps run locally with access to high-frequency data, UReason generates model-based virtual measurements in real time and publishes them onward.
Infer values that aren’t directly instrumented, extending coverage without adding hardware.
Efficiencies, internal conditions and derived variables, available as signals.
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.
Maintain an estimated value when an instrument is offline or under maintenance.
Equipment monitoring never goes dark.
Run on your own edge devices, with no vendor lock-in.
Limited connectivity, data-residency requirements, latency-critical assets.
Analyse locally, aggregate centrally for fleet-wide visibility.
Spread-out or connectivity-constrained assets, with local processing and store-and-forward.
Without re-architecting the control system.
Helin provides the vendor-neutral edge software. 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, on your choice of hardware, and back into the systems that run your plant.