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Industrial IoT & Smart Factory Telemetry Systems

We build high-throughput industrial IoT monitoring suites engineered for mission-critical manufacturing — edge MQTT sensor streaming, anomaly detection (vibration, temperature, RPM), Java EE 8 persistence engines, JSF 2.3 admin consoles, and native Flutter plant operator mobile dashboards.

[ View IIoT Architecture ][ Get a Briefing ]

What We Build

Purpose-Built for Industrial & Smart Manufacturing

Every layer of the telemetry stack is designed for continuous uptime, instant anomaly alerts, and zero data loss.

Edge Telemetry

MQTT Sensor Ingestion

Sub-second telemetry ingestion from factory floor sensors via Paho MQTT brokers — streaming machine temperature, vibration vectors, and rotational RPM in real-time.

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Anomaly Engine

Predictive Alerting & Thresholds

Automated threshold evaluation detecting thermal spikes and mechanical vibration anomalies before equipment breakdown occurs — alerting plant operators instantaneously.

Persistence Layer

Java EE 8 & PostgreSQL Engine

High-throughput telemetry persistence utilizing Hibernate ORM and PostgreSQL, paired with Weld CDI services for Enterprise Java stability and auditability.

Operator Mobile

Flutter Operator Dashboards

Unified native iOS and Android mobile dashboards for factory floor engineers — live telemetry gauges, block-level filtering, and immediate push alert notifications.

Reference Architecture

How the IIoT Stack Fits Together

The same architecture profile you can toggle live in the sandbox on our homepage.

  1. Edge Hardware & MQTT Broker — telemetry publishing from industrial sensors.
  2. Java EE MqttSubscriberService — async subscriber engine processing sensor topics.
  3. PostgreSQL Telemetry DB — optimized time-series telemetry storage via Hibernate.
  4. JSF 2.3 Management Portal — web administration console for threshold tuning & audits.
  5. Flutter Plant Mobile Client — real-time operator monitoring and alert feeds.

FAQ

Industrial IoT Platform Development, Answered

How long does it take to build an Industrial IoT monitoring solution?

Most IIoT MVPs — covering MQTT telemetry ingestion, Java EE backend persistence, and a real-time Flutter mobile dashboard — ship in 4 to 8 weeks using our multi-agent AI development approach.

What protocols do you support for hardware sensor data?

We primarily build around MQTT (Paho MQTT v3/v5) and STOMP WebSockets for lightweight, real-time edge telemetry, with REST fallback for batch diagnostic exports.

Can the operator dashboard run on mobile and web simultaneously?

Yes. By leveraging Flutter and web standards, plant management dashboards run seamlessly across iOS, Android, and web browsers with unified real-time telemetry feeds.

How do you handle high-frequency telemetry writes?

Our Java EE backend uses asynchronous message subscribers, pooled Hibernate batching, and PostgreSQL indexing tuned specifically for high-throughput time-series telemetry data.