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Tignis AI process control and analytics-based monitoring software combines the precise insights of physics with the most advance AI and ML data science to give unprecedented automation and process control.
Tignis PAICe Monitor AI-driven anomaly detection and predictive maintenance platform enables process engineers to transforms in-product fault diagnoses into continuous real-time monitoring.
Tignis PAICe Maker physics-driven AI computational modeling platform accelerates leading-edge semiconductor manufacturing.
Tignis physics-based analytics provides proactive optimization with machine learning and digital twin technology.
Optimum Energy uses Tignis software to detect faults in vast amounts of chiller plant sensor data.
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Maintenance and reliability professionals can preemptively adjust, repair, or replace affected equipment before costly or devastating consequences occur.
By overlaying schematics about systems and their IoT sensors with known facts about the physics of how each element should behave, you can discover design faults, detect potentially miscalibrated sensors, and take corrective action.
24/7 system monitoring data received from parallel but unlike facilities can be optimized and distilled into action.
Facilities are achieving a more durable, digital foundation for understanding and mapping processes and priorities.
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