SYNA EdgeBox
Robust and high-performance industrial hardware
Edge AIoT
Solution
AI for every automation engineer
We believe that every automation engineer should be able to harness the power of AI — without needing to be a data scientist.
COLIGO exists to democratize industrial AI, giving engineers intuitive tools to unlock the value of their data, optimize operations, and drive innovation from the field.
With no-code model deployment and plug-and-play connectivity, we make it easy to start digitalization from the field, turning industrial data into actionable insight — without the complexity of traditional AI projects.
Who is COLIGO for?
For automation engineers and PLC programmers who want to unlock the full potential of production data - with AI, but without complicated integration.
What is COLIGO?
COLIGO is a plug-and-play AI platform for industrial applications.
It consists of:
EdgeStack
Container-based firmware and ready-to-use applications.
App
For easy setup and monitoring of all AI functions
Cockpit
Central user interface for device management, fleet management, user administration, and patch management (CRA compliant)
How does it work?
From data collection to result distribution—AI-powered edge analytics in four simple steps
1
Data acquisition
Directly at the source via OPC UA in the SYNA EdgeBox
2
Select and configure the AI model
No coding required
3
Analysis runs locally
Training and inference on the edge – results are immediately visible
4
Share results
If desired, via OPC UA, API, or MQTT
No AI expertise required
No cloud requirement
Fast, real-world results
Easy integration into any PLC project
Anomaly detection
Vibration, temperature, current consumption
Quality control
Image-based pass/fail part identification
Predictive maintenance
Data-driven, local, and secure
Use Cases
Discover application scenarios for edge computing in industrial automation
Factory Automation
Battery Manufacturing
In lithium-ion battery cell manufacturing, even micro-leaks during vacuum sealing or early cell swelling during the formation stage can lead to catastrophic quality failures—including
Factory Automation
Predictive Maintenance for Filling & Packaging Equipment
High-speed filling and packaging lines generate large amounts of time-series data. COLIGO uses edge intelligence to transform this data into actionable predictions that prevent stoppages and protect throughput.
Torque drift on capping heads leading to misalignment or jams
Conveyor speed fluctuations resulting in back-pressure faults
Labeler slippage causing cumulative micro-stops
Mechanical wear across fillers, cappers, labelers, and inspection units impacting OEE
Highlight: No-Code & Edge AI
AI that automation engineers can use
With Coligo, you use AI like a PLC library. No Python, no cloud, no training. Our platform comes with pre-trained models and a no-code configurator that thinks like PLC logic.
Benefits at a glance:
