Revolutionizes the workflow of process engineers
Panoptes RCA is an AI-powered assistant that provides process engineers with real-time analysis of anomalies and alarm events in statistical process control.

Revolutionizes the workflow of process engineers
Panoptes RCA is an AI-powered assistant that provides process engineers with real-time analysis of anomalies and alarm events in statistical process control.

Features
Panoptes RCA collects all relevant manufacturing information from scattered databases and uses state-of-the-art time series machine learning techniques to analyze them in an integrated manner. It quickly and accurately identifies the root cause of the alarm based on anomaly analysis with different data types such as machine sensor data and sampled metrology data. It displays analysis results on a comprehensive and easy-to-understand dashboard. Panoptes RCA also provides actionable guidelines learned from historical corrective actions that process engineers have taken under similar circumstances.
Anomaly Analysis
generates anomaly scores of probable root causes via time series machine learning
generates anomaly scores of probable root causes via time series machine learning
Dashboard
displays comprehensive and user-friendly information related to alarms
displays comprehensive and user-friendly information related to alarms
Action Recommendation
provides data-driven guidelines for engineers on how to resolve alarms
provides data-driven guidelines for engineers on how to resolve alarms

Panoptes Root Cause Analysis (RCA)
Revolutionizes the workflow of process engineers
Panoptes RCA is an AI-powered assistant that provides process engineers with real-time analysis of anomalies and alarm events in statistical process control.





Features
Panoptes RCA collects all relevant manufacturing information from scattered databases and uses state-of-the-art time series machine learning techniques to analyze them in an integrated manner. It quickly and accurately identifies the root cause of the alarm based on anomaly analysis with different data types such as machine sensor data and sampled metrology data. It displays analysis results on a comprehensive and easy-to-understand dashboard. Panoptes RCA also provides actionable guidelines learned from historical corrective actions that process engineers have taken under similar circumstances.
Anomaly Analysis
generates anomaly scores of probable root causes via time series machine learning
generates anomaly scores of probable root causes via time series machine learning
Dashboard
displays comprehensive and user-friendly information related to alarms
displays comprehensive and user-friendly information related to alarms
Action Recommendation
provides data-driven guidelines for engineers on how to resolve alarms
provides data-driven guidelines for engineers on how to resolve alarms