BE.services positions COLIGO as a practical edge AIoT solution that enables PLC programmers and automation engineers to implement AI-driven analytics directly in machines and production systems—without cloud dependency and without additional data science setup.

COLIGO is designed as a plug-and-play AI platform, combining robust industrial hardware (SYNA EdgeBox) with ready-to-use applications. Commissioning and monitoring are handled via the COLIGO App. For scalable rollouts across multiple sites, the COLIGO Cockpit serves as the central interface for device and fleet management, user administration, and patch management.

Operational value: training and inference run locally at the edge; results can be integrated into existing automation and IT environments via OPC UA or MQTT, depending on the use case. Typical applications include anomaly detection (e.g., vibration, temperature, power consumption), vision-based quality inspection, and predictive maintenance—data-driven, local, and secure.