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EdgeStack

Industrial-Grade Edge Intelligence – Ready for AIoT

Deploy data-driven automation, analytics & machine learning at the edge — without the complexity.




Industrial automation

Edge Intelligence


In modern manufacturing and industrial operations, real-time data, AI-driven decisions and decentralised intelligence aren’t luxuries — they’re strategic necessities. The COLIGO EdgeStack enables you to bring those capabilities on-site, at the edge of your network, where your machines and processes operate.


Executive-level benefits

  • Reduce latency and connectivity risk by processing on-site
  • Accelerate time-to-value: deploy with minimal integration effort
  • Scale intelligently: from single-machine use-cases to plant-wide deployments
  • Future-proof your AIoT architecture for evolving demands




Core Architecture & Capabilities

Built for Industrial AIoT


The COLIGO EdgeStack is engineered for the realities of industrial operations — durable, containerised, modular and designed for automation engineers, not just data scientists.

Key capabilities

  • Real-time Linux + Docker containers
    Enables flexible, resilient deployment of services, isolates workloads and supports enterprise-grade operations.
  • Plug-in data-flow architecture
    Extendable and adaptable — you can reuse existing workflows and add new intelligence modules without disrupting operations.
  • No-code ML models
    Pre-built models (anomaly detection, predictive analytics, object detection & recognition) that automation engineers can configure — without deep data-science expertise.
  • Streaming learning for dynamic environments
    Continuously adapt models on fresh sensor data, making the stack suited for changing industrial conditions.
  • Label Studio
    Upload your pictures and label your objects for model training and deployment to the Edge

Label Studio

Label the objects or defects yourself and upload the pictures to train your model.

COLIGO Label Studio | Your machine vision tool

Modern intuitive user interface

Train model

Connect a machine learning model to generate predictions

Drag & Drop functionality

Uploading individual files

Labeling

Labeling of all tasks

Labeling Interface

Modern user interface for easy operation




Use-Cases That Drive Impact

From Data to Decisions


Here are examples where EdgeStack creates measurable business value.

  • Predictive Maintenance
    Use time-series forecasting to foresee equipment failures and schedule interventions proactively.
  • Quality Control & Vision
    Deploy object- or image-based recognition to detect objects or inspect products in real-time, reduce defects and optimise output.
  • Operational Monitoring & Anomaly Detection
    Detect irregular patterns or unwanted sounds on the line and trigger corrective actions instantly.



Why It Matters

Strategic Advantages for Your Business


While many solutions address data collection or connectivity, the COLIGO EdgeStack is intentionally designed to unlock intelligence, actionability and scale — making it a strategic asset, not just a gadget.

  • Faster Return on Investment
    Less integration effort, fewer silos, faster time-to-solution.
  • Lower Risk & Complexity
    Proven industrial architecture, modular design, supported by experts.
  • Scalable Architecture
    Start small, expand across machines or sites without re-architecting.
  • Aligned with Industry 4.0 & IIoT
    Ready for the convergence of operations, AI and automation.



How to Get Started

Deploy in Minutes, Scale in Months


Steps

  1. Connect
    Choose your tags/sensors, ingest your data via OPC UA.
  2. Configure & Run
    Use no-code interface or pre-built models, refine as needed.
  3. Integrate & Scale
    Extend to additional equipment, sites or processes, integrate with edge/hybrid/cloud systems as required.

Talk to an Expert

Book a 30-minute live demo.

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