Overview
Traditional manufacturing relies on siloed machinery, manual quality checks and reactive maintenance, all of which create inefficiency. FA3's Industry 4.0 practice helps organisations make the transition to connected, smart factories. We bring together Information Technology (IT) and Operational Technology (OT) to create manufacturing environments that are properly connected and continuously optimising.
We use sensor networks, edge computing and industrial AI to give you full visibility across the production line. By turning physical manufacturing into a continuous stream of useful data, we help organisations increase throughput, tighten quality control and respond to supply chain disruptions quickly.
What we do
- Industrial IoT (IIoT) & OT connectivity: We retrofit legacy machinery and install secure sensor networks to capture real-time telemetry (vibration, temperature, yield) from the factory floor, securely connecting OT and IT networks.
- Predictive maintenance & asset health: We build machine learning models that analyse continuous sensor data to detect early anomalies in equipment behaviour, scheduling maintenance well before failure occurs.
- Computer vision quality assurance: We install high-speed cameras and neural networks on the production line to inspect every unit in real time, identifying microscopic defects and removing flawed products without slowing throughput.
- Manufacturing Execution Systems (MES) modernisation: We implement and integrate modern, cloud-connected MES platforms that coordinate the entire production process, from raw material intake to final packaging.
How we work
The factory floor is a demanding environment, and we build Industry 4.0 solutions accordingly, with a strong focus on safety, security and reliability. We use Edge AI so that time-critical manufacturing decisions are processed locally, unaffected by cloud latency or network interruptions.
For us, Industry 4.0 is an operational transformation, not just an IT project. Our engineers work alongside your plant managers to make sure that digital implementations lead directly to measurable improvements in Overall Equipment Effectiveness (OEE).