COLIGO Lite combines the “Analyze” module from the full COLIGO EdgeStack into a standalone container that can be easily integrated into third-party systems—in this case, siineos. It was designed with simplicity, speed, and actionable insights in mind and features a fully integrated user interface for intuitive configuration.
COLIGO Lite is a no-code AI solution for edge computing, enabling automation engineers to run AI models for their acquired data. It supports out-of-the-box MQTT connectivity, allowing real-time data acquisition and runs AI models for anomaly detection and time series forecasting while ensuring data security on the edge. Training and inference are performed locally, ensuring that no data is sent out of the field, maintaining both privacy and security. It is hardware-independent, scalable with Docker deployment, and integrates seamlessly with existing software ecosystems.
- Added
- 3/24/2026
- Last Update
- 4/9/2026
- service@inhub.de
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