Maintenix AI

Predictive Maintenance Intelligence Platform

Maintenix AI is an intelligent predictive maintenance platform that leverages AI/ML, IoT, and Azure cloud services to forecast equipment failures, optimize maintenance schedules, and minimize downtime.
It continuously analyzes sensor data, maintenance logs, and operational metrics to detect early signs of equipment degradation — enabling proactive actions that reduce unplanned outages and operational costs.

Real-Time Sensor Data Ingestion

Collects live data from IoT-enabled machines, PLCs, and SCADA systems using Azure IoT Hub and Azure Stream Analytics.

Anomaly Detection

Uses AI models (LSTM, Isolation Forest, or Autoencoders) to detect abnormal patterns in vibration, temperature, pressure, and energy signals.

Failure Prediction

Predicts the Remaining Useful Life (RUL) of each machine component using Azure Machine Learning or Databricks MLflow.

Automated Alerts & Maintenance Scheduling

Integrates with maintenance management systems (CMMS, SAP PM, etc.) to trigger automatic work orders.

Interactive Dashboards

Provides maintenance and operations teams with visual insights through Microsoft Fabric or Power BI Embedded.

AI-driven Recommendations

Suggests maintenance actions, spare parts procurement, and production rescheduling based on predicted failures.

Business Benefits

• 30–50% reduction in unplanned downtime

• 20–40% savings on maintenance costs

• Increased asset life and reliability

• Automated root-cause insights through AI