Manufacturing Software & IoT Factory Monitoring

Industry 4.0 Software for Factory Floors

Manufacturing operations generate enormous volumes of machine telemetry data — vibration readings, temperature cycles, pressure sensors — that contain early warning signals for equipment failures. We build the software infrastructure to collect, process, and surface these signals in real time, enabling predictive maintenance, quality control automation, and production schedule optimization. OPC-UA and Modbus gateways translate legacy PLC outputs into structured JSON data streams that feed modern time-series databases (InfluxDB, TimescaleDB) optimized for high-frequency append workloads. ML anomaly detection models trained on historical sensor patterns flag deviations that precede equipment failures — alerting maintenance engineers before a critical component causes unplanned production downtime. Real-time Grafana dashboards give floor supervisors and plant managers continuous visibility into equipment health KPIs, production throughput rates, and quality control measurement distributions across all production lines.

Industry Challenges

• Collecting and storing telemetry from thousands of factory floor machines at scale.
• Predicting equipment failures before production lines stop unexpectedly.
• Coordinating customer order fulfillment with factory production scheduling.
• Maintaining quality control consistency across multiple shifts and facilities.

How We Solve Them

• Building automated IoT data collector scripts that read sensor outputs at high frequency.
• Running ML-powered anomaly detection over historical machine telemetry logs.
• Connecting sales order databases with production scheduling and MRP systems.
• Automating quality measurement logging and statistical process control dashboards.

What We Build for Manufacturing

Technologies We Use

Frequently Asked Questions