Real-time Industrial IoT Monitoring with Multi-Model AI Analytics and Explainable Intelligence
Eliminates unexpected equipment failures and costly unplanned downtime by predicting maintenance needs before critical failures occur. Transforms reactive maintenance into proactive strategy.
Leverages 5 advanced AI models (LSTM, Random Forest, SVM, ARIMA, Transformer) with 94-96% accuracy. Each sensor uses optimized algorithms for pattern recognition and anomaly detection.
Reduces maintenance costs by 25-40%, prevents catastrophic failures, optimizes asset lifespan, and ensures 99.5%+ operational uptime through intelligent early warning systems.
Power Plants, Manufacturing, Oil & Gas, Chemical Processing, Mining, Aerospace, Automotive, and any industry with critical rotating or thermal equipment requiring continuous monitoring.