Monitor, Predict, Diagnose & Optimize, AI for Safer, Quieter Operations
Brains applies AI/ML to your real-time operational data — but unlike generic analytics, every prediction is grounded in the engineering design of your facility. It knows what the sensor is measuring, what equipment it's attached to, and what the design limits are.
Book a DemoBrains Doesn't Just Analyze Data,
It Understands The Engineering Behind It.
Generic platforms treat sensor data as numbers. Brains treats it as engineering — connecting every reading to the equipment it monitors, the process it supports, the safety barriers that protect it, and the design intent behind it.
Self-Monitor. Self-Diagnose. Self-Optimize. Self-Operate.
Automated Operations Monitoring
Continuously ingest alarms and historian signals, learn normal by unit/mode, and detect drift and precursors—streamed to a ranked queue with audit trails.
Alarm Intelligence
Analyze alarm histories and signal patterns, deduplicate bursts, suppress nuisance alarms, and surface a risk-ranked and explainable alert queue.
Dynamic & Explainable RCA With HAZOPs
Correlate multi-source alarms, process signals, HAZOPs data and asset context to isolate root causes in real time, and recommend corrective steps.
Condition-Based Maintenance
Forecast degradation and failures, estimate remaining useful life, and propose condition-based maintenance windows—with risk ranking.
Real Time Soft Sensors & Virtual Meters
Compute virtual measurements (e.g., flow, composition proxies, fouling index) in real time—auto-calibrated to field data with drift monitoring.
Process Optimization Recommendations
Optimize across product, quality, and energy to generate prescriptive adjustments—quantified, explainable, and fully traceable.
Automated Operations Monitoring
Continuously ingest alarms and historian signals, learn normal by unit/mode, and detect drift and precursors—streamed to a ranked queue with audit trails.
Alarm Intelligence
Analyze alarm histories and signal patterns, deduplicate bursts, suppress nuisance alarms, and surface a risk-ranked and explainable alert queue.
Dynamic & Explainable RCA With HAZOPs
Correlate multi-source alarms, process signals, HAZOPs data and asset context to isolate root causes in real time, and recommend corrective steps.
Condition-Based Maintenance
Forecast degradation and failures, estimate remaining useful life, and propose condition-based maintenance windows—with risk ranking.
Real Time Soft Sensors & Virtual Meters
Compute virtual measurements (e.g., flow, composition proxies, fouling index) in real time—auto-calibrated to field data with drift monitoring.
Process Optimization Recommendations
Optimize across product, quality, and energy to generate prescriptive adjustments—quantified, explainable, and fully traceable.
“Brains reads your plant’s patterns, predicts what’s coming, and tells you exactly what to do by connecting the dots across sensors and history so operators act sooner with focused explainable recommendations.”
Frequently Asked Questions
Common questions about Brains' capabilities, deployment, and integration.
Ready to Give Your Facility Predictive Intelligence?
Connect your operational data. See failures predicted, alarms contextualized, and maintenance scheduled by condition — all grounded in the engineering design of your facility.
- Detect equipment anomalies 15+ hours before failure.
- Deploy ISA 18.2 compliant alarm management across your facility.
- Ground every prediction in your facility's engineering context.
- Replace calendar-based maintenance with condition-based maintenance.
- Achieve ROI in less than 12 months.