Your Facility, Monitoring Itself.
With Engineering Context Behind Every Alert.
Most monitoring platforms see numbers change. Brains sees what the numbers mean — connecting every sensor reading to the equipment it monitors, the process it supports, and the design limits it should operate within. Your operations team gets intelligence, not just dashboards.
Book a DemoMonitoring That Understands Your Plant, Not Just Your Data.
Generic monitoring tells you a number changed. Brains tells you what that change means for your facility — because every sensor reading is connected to the engineering design, process topology, and safety architecture through the Contextual Graph.
Self-Monitor, Self-Diagnose, Self-Alert.
Real-Time Behavior Auto-Discovery
Brains learns your plant's normal operating behavior from historian data — understanding transition states, seasonal patterns, and operating modes. It doesn't need you to define what normal looks like. It discovers it from your data.
Anomaly Detection With Engineering Context
When a reading deviates, Brains doesn't just flag the number. It identifies which equipment is affected, which process is impacted, what the design limits are, what safety barriers exist, and what happens downstream if the anomaly progresses.
Multi-System Correlation
Correlates data across historians, DCS, SCADA, and PLC systems simultaneously. A pressure anomaly in one system and a temperature shift in another might be unrelated — or they might be the same root cause manifesting in two places. Brains connects them.
Predictive Event Identification
Identifies patterns that precede failures — not just statistical anomalies but sequences of operational events that historically lead to equipment degradation, process upsets, or safety incidents. Your team sees the problem developing, not just the problem arriving.
Fleet-Scale Monitoring
Deploy the same monitoring intelligence across your entire fleet — not just one facility. The same models, the same engineering context, the same predictive capability scaled across every site you operate. One platform. Every facility. Consistent intelligence.
Actionable Alerts, Not Alert Fatigue
Every alert Brains generates includes engineering context — what's happening, where, why it matters, and what to do about it. Your operations team acts on intelligence, not on alarm floods. Alerts that require action, not alerts that require filtering.
Real-Time Behavior Auto-Discovery
Brains learns your plant's normal operating behavior from historian data — understanding transition states, seasonal patterns, and operating modes. It doesn't need you to define what normal looks like. It discovers it from your data.
Anomaly Detection With Engineering Context
When a reading deviates, Brains doesn't just flag the number. It identifies which equipment is affected, which process is impacted, what the design limits are, what safety barriers exist, and what happens downstream if the anomaly progresses.
Multi-System Correlation
Correlates data across historians, DCS, SCADA, and PLC systems simultaneously. A pressure anomaly in one system and a temperature shift in another might be unrelated — or they might be the same root cause manifesting in two places. Brains connects them.
Predictive Event Identification
Identifies patterns that precede failures — not just statistical anomalies but sequences of operational events that historically lead to equipment degradation, process upsets, or safety incidents. Your team sees the problem developing, not just the problem arriving.
Fleet-Scale Monitoring
Deploy the same monitoring intelligence across your entire fleet — not just one facility. The same models, the same engineering context, the same predictive capability scaled across every site you operate. One platform. Every facility. Consistent intelligence.
Actionable Alerts, Not Alert Fatigue
Every alert Brains generates includes engineering context — what's happening, where, why it matters, and what to do about it. Your operations team acts on intelligence, not on alarm floods. Alerts that require action, not alerts that require filtering.
"Your control room operators are drowning in data and starving for context. A number on a screen means nothing without knowing what equipment it monitors, what process it affects, and what happens if it keeps trending. That context is what Brains provides."
Frequently Asked Questions
Common questions about automated operations monitoring.
Ready to Monitor Your Facility With Engineering Context?
Connect your operational data. See anomalies detected with the engineering understanding that makes them actionable — not just numbers on a dashboard.
- Detect anomalies 15+ hours before they become failures.
- Connect every sensor reading to its engineering context.
- Scale monitoring intelligence across your entire fleet.
- Replace alert fatigue with actionable, contextualized intelligence.
- Achieve ROI in less than 12 months.