MARS uses real-time SCADA sensor data, LSTM-based AI, and Cloud-Native architecture 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.
Precision Anomaly Detection
Utilizes reconstruction error analysis from LSTM models to detect subtle deviations that rule-based systems miss—identifying issues days in advance.
Cloud-Native Scalability
Secure, scalable cloud deployment ensures you get real-time insights without the burden of managing complex on-premise hardware infrastructure.
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.
Harvest
Data ExtractionHigh-frequency extraction of vibration, temperature, and pressure data. Seamless integration with Maximo, SAP, and Oracle for historical context.
Transform
Signal ProcessingRaw sensor streams are cleaned, normalized, and processed using advanced signal processing techniques to prepare them for AI modeling.
Train
LSTM ArchitectureOur LSTM-based Encoder-Decoder model learns "normal" operational behavior, establishing a robust baseline for asset health.
Validate
Backtestingrigorous backtesting against historical failure events ensures the model accurately predicts known failures before going live.
Deploy
Cloud InferenceScalable cloud-native inference delivers real-time alerts and predictive insights directly to your control room dashboards.
See MARS in Action
Discover how MARS can reduce unplanned downtime and cut operational costs across your oil & gas assets.