USE CASE

Prevent issues, defects, Out of Spec (OOS) and Out of Trend (OOT)

Anomaly Detection

Leveraging AI to detect anomalies early
Crunching data from disparate data sources (historians, DCS, MES, LIMS, WHMS, HVAC, BMS, and more)
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