An engineering advisor powered by AI, built for real plant operation. It operates inside the control environment to connect APC, DCS, diagnostics, and engineering knowledge in real time.
AI in Control Rooms: Closing Knowledge Gaps
Discover how AI-assisted tools can help engineers access operational knowledge and make more informed decisions. This session explores the challenges of bringing AI into industrial control environments, including trust, data security, and access to plant knowledge.
Too many tools. Not enough context.
Engineers move between APC diagnostics, historian data, and engineering tools to understand plant performance, manually correlating signals to determine what is changing and why. This work is time-consuming, experience-dependent, and inconsistent across shifts.
Plant data, connected where decisions are made
Continuous Monitoring
Track plant behavior, stability, and deviations across systems in real time.
Contextual Diagnostics
Correlate APC, CLPM, and historian signals to isolate issues faster.
Engineering Guidance
Receive clear recommendations based on current plant conditions.
Faster diagnosis. Consistent interpretation.
With relevant signals and context in one place, engineers spend less time correlating and more time acting. Diagnosis is faster, interpretation is consistent across shifts, and performance issues are caught earlier, regardless of individual experience level.
Too many tools. Not enough context.
Engineers move between APC diagnostics, historian data, and engineering tools to understand plant performance, manually correlating signals to determine what is changing and why. This work is time-consuming, experience-dependent, and inconsistent across shifts.
Plant data, connected where decisions are made
Continuous Monitoring
Track plant behavior, stability, and deviations across systems in real time.
Contextual Diagnostics
Correlate APC, CLPM, and historian signals to isolate issues faster.
Engineering Guidance
Receive clear recommendations based on current plant conditions.
Faster diagnosis. Consistent interpretation.
With relevant signals and context in one place, engineers spend less time correlating and more time acting. Diagnosis is faster, interpretation is consistent across shifts, and performance issues are caught earlier, regardless of individual experience level.
Built for Complex Operations
DCS / APC Integration
CLPM & Diagnostics
Live Performance Monitoring
Cross-System Context
OT-Native
Data Privacy
DCS / APC Integration
CLPM & Diagnostics
Live Performance Monitoring
Cross-System Context
OT-Native
Data Privacy
Multilingual
Drift Detection
Root Cause Identification
Corrective Actions
Plant-Level Visibility
On-premises
Multilingual
Drift Detection
Root Cause Identification
Corrective Actions
Plant-Level Visibility
On-premises
From plant data to action, in three steps
Connect plant data
Integrate data from DCS, APC, CLPM, and existing engineering tools
01
Connect plant data
Integrate data from DCS, APC, CLPM, and existing engineering tools
Analyze plant behavior
Monitor performance and identify deviations from expected behavior
02
Analyze plant behavior
Monitor performance and identify deviations from expected behavior
Support engineering decisions
Provide system-level analysis and recommend corrective actions
03
Support engineering decisions
Provide system-level analysis and recommend corrective actions