Predictive Maintenance: AI that Sees Tomorrow

Combine sensor intelligence, edge computing, and predictive AI to forecast failures, plan maintenance, and keep production running at its best.

Why Predictive Maintenance?

Move from reactive to proactive. Predictive maintenance empowers you to act before breakdowns occur - increasing uptime, improving safety, and reducing costs through data-backed insights.

Avoid Downtime

Real-time anomaly alerts minimize sudden stoppages and production loss.

Extend Equipment Life

Continuous monitoring ensures timely care and prolonged asset lifespan.

Boost Efficiency

Predictive insights optimize maintenance cycles and production planning.

Core Features

From precise sensor integration to automated maintenance and AI-driven predictions, each layer works together to create a connected, self-aware maintenance ecosystem.

Advanced Sensors Integration

Industrial-grade sensors capture vibration, temperature, pressure, flow, and energy data, providing the foundation for accurate machine health insights.

Real-Time Edge Intelligence

EAGLE Gateway pre processes data locally, filters noise, and transmits only essential information - enabling real-time alerts and low-latency decisions.

Smart Maintenance Automation

Automatically schedules maintenance based on predicted wear and performance data - ensuring optimal uptime and reduced manual dependency.

AI-driven Failure Prediction

AI models analyze sensor patterns to predict failures, estimate remaining useful life, and recommend preventive actions before issues occur.

Analytics View - Turning Data into Decisions

The predictive maintenance dashboard translates complex machine data into simple, actionable visuals for faster decision-making and smarter planning.

Machine Health Dashboard

Performance Trends

Anomaly Detection

Predictive Alerts & Insights

Maintenance Forecasting

Comparative Analytics