technology
Agent Rung
The AI layer for industrial control — helping engineers understand, diagnose and reason about PLC systems.
Agent Rung brings AI-assisted reasoning to industrial control systems.
It combines live and contextual PLC information, engineering knowledge and control logic to help engineers investigate faults, understand legacy systems and work through complex diagnostic problems more systematically.
What it can do
- Work with live PLC tags and contextual system information.
- Interpret IEC 61131-3 control logic.
- Incorporate vendor- and system-specific knowledge.
- Build and test structured diagnostic hypotheses.
- Explain relevant control logic and system relationships.
- Support troubleshooting and maintenance workflows.
- Assist with proposed changes while applying structured preflight and safety checks.
- Help capture and transfer specialist controls knowledge.
Designed for
Controls engineers · Electrical and automation teams · Maintenance personnel · Industrial operations · Engineering knowledge transfer
Where it can help
- Fault diagnosis
- Bring multiple sources of evidence together during complex troubleshooting.
- Legacy systems
- Help engineers understand control systems where documentation or experienced personnel may be limited.
- Knowledge transfer
- Make specialised industrial control knowledge easier to preserve and use.
- Engineering productivity
- Reduce the manual effort involved in navigating logic, tags, documentation and technical context.
Built on
Agentic AI · Industrial knowledge representation · Engineering reasoning · Knowledge graphs · Human-AI interaction