INDUSTRY 4.0 · IIOT · SCADA · MQTT

Industry 4.0 Software

We connect the physical world with the digital in real time.

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Integrated with
Plant · Line L-04
Live · MQTT · 2.4k msg/s
Live
OEE
95%
+3.2%
Uptime 7d
99.7%
Output
1,842 u/h
+4%
Active alerts
3 open
  • S-12 · Vibration
    12.4 mm/s
  • S-08 · Temperature
    78 °C
  • S-31 · Flow
    OK

Sector challenges

Machinery integration

Connection with PLCs, sensors, and SCADA systems using industrial protocols (MQTT, OPC-UA, Modbus).

Real-time processing

Ingestion and analysis of large volumes of sensor data with minimal latency for immediate decision-making.

Industrial dashboards

Visualization of production KPIs, energy efficiency, and machinery status in real time.

Predictive maintenance

Analysis models that anticipate machinery failures before they occur, reducing unplanned downtime.

Common technologies

Backend
JavaSpring BootNode.js
Messaging
Apache KafkaRabbitMQ
Frontend
React
DELIVERABLES

What we deliver in industry

Software measured on the plant floor. Every release reaches production with observability, alerts, and end-to-end traceability.

Real-time SCADA dashboards

Visualization of OEE, throughput, energy consumption, and machine status with sub-second refresh over MQTT and OPC-UA.

PLC and sensor integration

Robust gateways to Siemens, Allen-Bradley, and Beckhoff PLCs. Local buffering against network outages and exponential retries.

Predictive maintenance

Time-series models with automatic alerts and adaptive thresholds per production line.

FAQ

What they ask before signing

Common questions on industrial projects.

  • How do you handle network outages on the plant floor?
    Local buffering on the gateway with exponential retries and a persistent queue. When the network is restored, the backfill is timestamp-ordered and validated against already-computed KPIs.
  • What latency do you achieve over MQTT/OPC-UA?
    Telemetry at 2-3k messages per second with p95 below 50ms on the internal bus. Dashboards refresh in less than a second over WebSocket channels.
  • Do you work on cloud or on-premise?
    Both. Edge on the plant for low latency and resilience, cloud for aggregation, predictive models, and corporate dashboards. Sync via Kafka.

Related services

Backend

Scalable APIs with Java, PHP, Node.js. Robust high-performance architectures.

Java & Spring Boot

Enterprise APIs with Spring Boot, Hibernate, and Kafka. High-concurrency projects.

Node.js

Real-time APIs, microservices, and event-driven applications with TypeScript.

Tell us about your project

We analyze how your project works today and identify where you can gain real efficiency with AI and software.

Request technical proposal