End-to-end reference architecture covering device connectivity, edge processing, ingestion pipelines, and analytics layers — built for your specific scale and latency requirements.
ML models and business logic deployed at the edge — reducing latency, cloud costs, and bandwidth while enabling local decisions that cannot wait for a cloud round-trip.
Sensor fusion and anomaly detection models that predict equipment failure before it happens — eliminating unplanned downtime that costs far more than any maintenance program.
Streaming analytics pipelines feeding live operational dashboards — OEE, energy consumption, asset utilisation, and custom KPIs updated in real time.
Fleet management platforms for provisioning, configuration, monitoring, and over-the-air firmware updates across thousands of devices — without manual intervention.
Time-series storage (InfluxDB, TimescaleDB, Azure TSI), ingestion pipelines (Kafka, MQTT, AMQP), and queryable APIs for all your device data — unified in one place.
Device authentication, TLS encryption, certificate lifecycle management, and OT/IT network segmentation — securing every layer of your IoT stack from device to cloud.
Support for Modbus, OPC-UA, MQTT, AMQP, CoAP, and proprietary vendor protocols — bridging legacy OT machinery with modern cloud and analytics platforms.
End-to-end reference architecture covering device connectivity, edge processing, ingestion pipelines, and analytics layers — built for your specific scale and latency requirements.
ML models and business logic deployed at the edge — reducing latency, cloud costs, and bandwidth while enabling local decisions that cannot wait for a cloud round-trip.
Sensor fusion and anomaly detection models that predict equipment failure before it happens — eliminating unplanned downtime that costs far more than any maintenance program.
Streaming analytics pipelines feeding live operational dashboards — OEE, energy consumption, asset utilisation, and custom KPIs updated in real time.
Fleet management platforms for provisioning, configuration, monitoring, and over-the-air firmware updates across thousands of devices — without manual intervention.
Time-series storage (InfluxDB, TimescaleDB, Azure TSI), ingestion pipelines (Kafka, MQTT, AMQP), and queryable APIs for all your device data — unified in one place.
Device authentication, TLS encryption, certificate lifecycle management, and OT/IT network segmentation — securing every layer of your IoT stack from device to cloud.
Support for Modbus, OPC-UA, MQTT, AMQP, CoAP, and proprietary vendor protocols — bridging legacy OT machinery with modern cloud and analytics platforms.
A structured approach that delivers reliable results – from first conversation to production.
Everything you need to know about our IoT & Connected Systems services.