Supervise your connected equipment with full real-time visibility
Thousands of sensors in a factory, smart farm or energy network generate continuous data streams. Without the right infrastructure, this data is lost or consulted too late. The Real-time IoT Monitoring system ingests, processes and visualizes your sensor data streams in real time, automatically detects anomalies and sends alerts to the right people before problems escalate.
Traditional SCADA systems have latencies from several seconds to several minutes. Alerts arrive after the incident. Failure management is reactive. And without cross-sensor correlation, root causes of problems remain hard to identify.
A Kafka pipeline ingests your sensor data (MQTT, HTTP, Modbus) in real time. Data is processed by anomaly detection models and visualized in Grafana with custom dashboards per line, zone or equipment. Alerts are sent via Slack, SMS or email with context and action suggestions.
Inventory of all your sensors, protocols (MQTT, HTTP, Modbus, OPC-UA), measurement frequencies and nominal values.
MQTT broker + Apache Kafka setup for high-frequency ingestion. Storage in InfluxDB or BigQuery depending on volume.
Model training on your historical data to distinguish normal behavior from significant anomalies.
Dashboards by equipment, line and zone. Configurable alerts with business logic and escalation by severity level.
The real-time pipeline detects drifts before they become failures. Intervention before production impact.
All your equipment on one dashboard. Temperatures, vibrations, pressures, flows · everything visible at a glance.
Condition-based maintenance (intervene when needed) replaces scheduled preventive maintenance. 20–40% savings on maintenance costs.
Free 30-minute audit. We analyze your context and deliver a concrete roadmap.