Diagnose. Oversee. Converge.
PrognAsset works like a good industrial doctor: diagnose the condition of the asset, oversee the live data and anomalies as they emerge, then converge every source into one operational picture your team can act on.
Start with a clinical diagnosis of the asset problem.
A useful intervention starts with a diagnosis, not just an alarm. PrognAsset identifies symptoms, compares them against historical patterns, and frames the problem in operational context so teams know what is changing, why it matters, and how urgent it is.
Symptoms
Rising vibration, abnormal heat, pressure drift, and unstable cycle behavior are surfaced before they become failures.
Examination
We compare live signals against maintenance history, inspections, operating conditions, and environment data to isolate likely root causes.
Diagnosis
The platform turns scattered symptoms into a defensible diagnosis with risk level, contributing factors, and recommended next action.
Symptom Detection
Detect early deviations across vibration, pressure, temperature, current, and inspection inputs before they register as a visible operational incident.
Contextual Diagnosis
Like a clinician combining symptoms with patient history, PrognAsset combines asset telemetry with maintenance, operations, and environmental context to sharpen the diagnosis.
Priority Triage
Maintenance teams receive a ranked view of what requires attention first, reducing false urgency and focusing effort where asset risk is actually rising.
See the data and anomalies as they develop.
Once the signals are connected, PrognAsset helps operators oversee the live condition of the asset instead of reacting to isolated alarms. Trends, anomalies, and context stay visible in one operational frame.
Live anomaly watch
3 anomalies risingObserved context
- Sensor signals aligned with inspection and maintenance events
- Ambient and load changes visible next to equipment behavior
- Anomalies grouped by likely cause instead of isolated tags
- Operators can see what changed, when, and across which assets
Unified Oversight
Operators see condition data, anomalies, and operating context together rather than jumping between disconnected HMIs, reports, and sensor tools.
Anomaly Visibility
The platform highlights what is abnormal, what is still within tolerance, and which anomalies are trending toward intervention thresholds.
Trend Confidence
Historical baselines and live time-series views give teams confidence that an anomaly is real, not just a one-off spike without operational meaning.
Converge every source into one operational architecture.
This is the platform layer behind PrognAsset. Sensor, operational, inspection, maintenance, and environmental data are merged, contextualised, and analysed in one time-synchronised architecture that produces asset intelligence your teams can trust.
Merge & Augment
Data from multiple systems is aligned into a single reference frame, filling context gaps and making previously disconnected evidence usable together.
Risk Classification
PrognAsset classifies asset risk and contributing factors automatically, giving teams a consistent way to move from raw data to mitigation decisions.
Actionable Intelligence
The output is not more dashboards for their own sake, but RUL predictions, alert prioritization, prognostic insights, and a clear picture of asset condition across the estate.
Ready to put Diagnose, Oversee, and Converge into practice?
Contact us to define the right data inputs, configure your workflow, and deploy PrognAsset across your operation.