MENU

Deploy powerful machine-learning insights directly in your systems—no prior data collection, no cloud dependency.



COLIGO lite

COLIGO lite brings the “Analyze” module from our full EdgeStack into a standalone container, ready to plug into third-party systems. It’s engineered for simplicity, speed, and actionable intelligence—with a fully integrated UI for intuitive configuration.


Why it matters?

  • Instant anomaly detection
    Identify deviations, malfunctions, or unusual patterns the moment they occur.
  • Predictive forecasting
    Use time-series modelling to anticipate trends and plan maintenance.
  • No-code ML deployment
    Select and configure models through an easy-to-use web-based UI—no data-science expertise needed.
  • Edge-ready connectivity
    Efficient MQTT communication and a lightweight container footprint ideal for industrial or embedded environments.

How it works


  1. ML model
    Select a ready-to-use ML model.
  2. Configuration
    Configure your data sources and thresholds directly in the built-in configuration UI.
  3. Container
    Deploy the container inside your environment—connect sensors, databases or stream feeds.
  4. Monitoring
    Monitor live results, create alerts, and visualize insights in real time.

Technical advantages

  • Streaming-learning architecture
    that adapts on-the-fly—even without historical data.
  • Containerised and vendor-agnostic
    deployment for maximum flexibility.
  • Optimised for edge & on-prem environments
    ensuring low latency and high reliability.
  • Secure and privacy-focused
    architecture: your data stays on your infrastructure.


COLIGO lite Datasheet

Datasheet (PDF)