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Industrial IoT
Solutions

Connect your machines, assets, and facilities to a unified data platform. From sensor integration to real-time monitoring dashboards and predictive maintenance — we build your industrial nervous system.

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Architecture

How We Architect Industrial IoT

A four-layer architecture that takes data from the factory floor to actionable intelligence — in milliseconds.

1

Device Layer Sensors, PLCs, SCADA systems, actuators

Temperature, vibration, pressure, flow, and current sensors. Wired (Modbus, Profibus) and wireless (Zigbee, LoRaWAN, BLE) connectivity. PLC integration via OPC-UA.

2

Edge Layer MQTT gateways, edge compute nodes

On-premise edge servers process data locally for low-latency alerting. MQTT brokers (Mosquitto, EMQX) aggregate sensor streams. Data is normalised and filtered before cloud upload.

3

Platform Layer Streaming analytics, time-series DB

Apache Kafka for high-throughput event streaming. InfluxDB or TimescaleDB for time-series storage. Real-time anomaly detection using ML models running on AWS SageMaker or Azure ML.

4

Application Layer OEE dashboards, alerting, APIs

Grafana and custom React dashboards for production teams. Automated alerting via SMS, email, and Slack. REST/GraphQL APIs for ERP and MES integration.

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Connectivity We Support

OPC-UA MQTT Modbus RTU Profibus LoRaWAN BLE 5.0 Zigbee 4G/LTE Wi-Fi 6
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Security Built-In

TLS 1.3 on all MQTT connections. Certificate-based device authentication. OT/IT network segmentation. IEC 62443 compliance support for critical infrastructure.

Business Value

From Predictive Maintenance to Production Intelligence

IoT is not about collecting data — it's about making better decisions faster. Here's what our clients achieve.

  • check_circlePredict failures before they happen — vibration and thermal analysis detects bearing faults 2–6 weeks before breakdown, reducing unplanned downtime by up to 35%.
  • check_circleCalculate OEE in real-time — availability, performance, and quality metrics updated every 10 seconds, visible on the shop floor and in the boardroom.
  • check_circleRoot cause analysis with digital twins — virtual replicas of production lines isolate the exact failure point without stopping the line.
  • check_circleEnergy optimisation — machine-level energy metering identifies idle power draw and schedules equipment to shift to off-peak tariffs.
  • check_circleRegulatory traceability — immutable sensor logs provide batch-level audit trails for ISO, FSMA, and GMP compliance.
35%
Reduction in unplanned downtime
28%
Improvement in OEE
22%
Energy cost savings
Faster root cause analysis
Technology Stack

Our IoT Technology Stack

Open-source where possible, enterprise-grade where required. No proprietary lock-in.

Edge & Connectivity

Sensors MQTT Mosquitto EMQX OPC-UA Node-RED Raspberry Pi NVIDIA Jetson

Data & Streaming

Apache Kafka InfluxDB TimescaleDB Redis Streams Apache Flink Spark Streaming

Cloud Platforms

AWS IoT Core Azure IoT Hub Google Cloud IoT AWS Timestream Azure Data Explorer

Analytics & Viz

Grafana Apache Superset Kibana Custom React Dashboards Power BI Tableau
Our Services

Full IoT Service Coverage

  • check_circleIndustrial sensor integration
  • check_circleMQTT broker setup & topic architecture
  • check_circleEdge computing gateways
  • check_circleReal-time OEE dashboards
  • check_circlePredictive maintenance ML pipelines
  • check_circleSCADA / HMI integration

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