XC05Edge — Universal Edge Platform for Industrial Automation

Intelligent-Compact-Easy to use

In the XC05Edge you can run normal control and automation together with AI and other advanced functions made in Python and Modelica. The automation layer runs on a dedicated CPU core completelty isolated from AI and other compute-heavy functions.

With our FirstGraph graphical tool you create you application application must faster and safer than with conventional PLC tools.

Improve production with adaptive control.

FirstControl has demonstrated across 50+ complex industrial processes that stability and accuracy in production is improved by 50–75% with our adaptive technology.
You can expand the system with any standard I/O supporting Modbus TCP/UDP. We also support OPC UA, CAN, and RS-485 for external communications.
Capacity: One XC05Edge unit can control a whole process or machine. The AI capacity is about the same as in a LapTop.

Embedded systems.

Develop your embedded application faster and more safely by building it on XC05Edge with its powerful, integrated tools and AI capability. Because the platform is designed for automation, you avoid the risks and delays of custom low-level code.
When you’re ready to deploy, run it on XC05Edge—or port the application to any ARM/Linux hardware.
Field support can be done by any process engineer using FirstGraph. No special software skill is necessary,

Front-end AI unit

The compact size and low cost make XC05Edge a perfect way to add AI power to your existing systems. It acts like a local “cloud,” running AI workloads in real time and connected directly to your live process data—no internet.
How you do.You simply prepare your AI application on your LapTop and yload it into the XC05Edge. It will then start to work directly

Education and Training

Use the Modelica tools to build realistic training scenarios—either full process models or targeted exercises (e.g., control theory). Students then work in the same automation environment they would use on the real plant, with access to classical control and adaptive control modules.
Trainíng setup. You can construct your won training schedule in Python and run it in XC05Edge.

Research

Real-time simulations: Control and AI research is often validated in offline simulations. A more realistic approach is to run the same models in real time inside XC05Edge.
Experimental processes. XC05Edge also suits experimental processes: researchers can integrate advanced tools—e.g., AI—to analyze data live during operation, not just post-process it.
Time scaling. The modelica model may be time-scaled for slow processes for a quicker result.

Your gains:

• More stable, more accurate control
• Reduced engineering effort and cost
• Lower system cost
• Safer programming
• Local AI analysis without cloud/internet
• Reduced reliance on external consultants