Anticipate failures, save on repairs
A dashboard that analyzes sensor data in real time, detects anomalous patterns and predicts when equipment will need maintenance. Clear visualization and automatic alerts.
- Real-time monitoring with IoT sensor data
- ML models that predict failures weeks in advance
- Web dashboard with push alerts and prediction history
What's included
Real-time monitoring
IoT sensor data visualized in interactive charts. Temperatures, vibrations, pressures and work cycles.
Predictive models
ML algorithms trained with equipment history. Predict failures weeks in advance with 94% accuracy.
Automatic alerts
Push notifications, email and SMS when equipment enters the risk zone. Prioritized by urgency and impact.
How it works
We connect the sensors
Compatible with standard protocols (MQTT, OPC-UA, Modbus). Installation without interrupting production.
We train the model
With your equipment's historical data. We detect wear patterns, overheating and cyclical anomalies.
Operational dashboard
Centralized screen with each equipment's status, predictions and history. Mobile accessible.