HFactory for predictive maintenance

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1 hour of plane immobilisation costs up to 10k US$. Improving remote equipment availability, across many industries, has proved to be a major source of operational savings. Using different modes of anomaly detection on time series data, HFactory helps identify likely equipment failures to increase asset availability, reduce costs and avoid unnecessary maintenance.


maintenance needs


unscheduled downtime


lifetime of assets


Through its integration with Spark, HFactory helps you move beyond threshold-based alerts and provide early failure detection based on machine learning models. Via the platform data exploration and analysis UI, you can easily test and train different types of algorithmsand models.

  • Correlate multiple data streams over time
  • Detect out-of-range values, spikes and trends
  • Diagnose root causes
  • Predict impending equipment failures

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