Anomaly Detection

Leveraging AI to detect anomalies early

Use multivariate deeper Root Cause Analysis (RCA) to guarantee optimal facility conditions while reducing risk to product quality.

Crunching data from disparate data sources (historians, DCS, MES, LIMS, WHMS, HVAC, BMS, and more)
Prevent issues, defects, Out of Spec (OOS) and Out of Trend (OOT)
Link the complex data framework to the AI Model and get the prediction of anomalies
Evaluate the rate and scoring and make the right decision
Download an existing application built by Aizon or our partners, or easily create one yourself using the widget libraries available in the platform’s designer