MARS uses real-time SCADA sensor data and machine learning to detect anomalies, predict equipment failures, and protect critical assets across oil & gas operations.
Intelligent Asset Reliability
MARS transforms raw sensor signals into actionable intelligence, keeping your critical infrastructure running at peak performance.
Predictive Maintenance
Machine learning models trained on historical sensor data and maintenance logs to forecast equipment failures before they occur — reducing unplanned downtime by up to 40%.
Anomaly Detection
Real-time monitoring of vibration, temperature, pressure, and flow data to detect abnormal patterns in critical rotating equipment across your operations.
SCADA Integration
Seamless ingestion from existing SCADA systems and control room infrastructure. MARS plugs into your Real-Time Operations Center with zero disruption.
The MARS Pipeline
From raw sensor signals to predictive intelligence — three stages that keep your operations running.
Ingest
Data AcquisitionReal-time sensor streams from SCADA systems — vibration, temperature, pressure, and flow data from critical rotating equipment.
Analyze
Model TrainingML models trained on historical sensor data and maintenance logs to identify degradation patterns and predict failures with precision.
Protect
Dashboard IntegrationActionable alerts and predictive insights delivered directly to your control room dashboards for immediate operational response.
See MARS in Action
Discover how MARS can reduce unplanned downtime and cut operational costs across your oil & gas assets.