Solutions
AI Agent
A new kind of AX transformation, driven by AI agents
Questions this page answers
- How do you apply AI agents on a manufacturing shop floor?
- Can manufacturing LLMs run in an on-premises environment?
- How does autonomous manufacturing differ from simple automation?
Why automation alone falls short
Digital transformation is accelerating, but automation that only follows fixed rules will not deliver AX transformation on its own. The moment a situation falls outside the rules, a person has to step in — and that is where the bottleneck forms.
AI Agent combines GPT, a general-purpose technology anyone can use, with smart manufacturing solutions, aiming at autonomous execution (AX) beyond the limits of conventional smart manufacturing.
It understands the data and decides for itself
AI Agent is an intelligent system that understands, analyzes and predicts across the varied data of a manufacturing site and then carries out work. It is a next-generation manufacturing intelligence framework combining GPT, multimodal AI, edge AI, natural language interfaces and digital twin technology.
From individual machines to the whole plant
Physical AI brings intelligence to the equipment level, while AI orchestration builds an environment in which the plant runs autonomously as a whole. Optimizing one machine and optimizing the plant sometimes pull in opposite directions; the orchestration layer is what reconciles them.
Components and key capabilities
- General-purpose AI meets the manufacturing domain
- Pairing general-purpose technology such as GPT with smart manufacturing solutions to handle situations rule-based automation cannot.
- Multimodal input
- Reads and reasons over data in different forms at once — text, imagery, equipment information.
- Edge AI
- Runs inference close to the equipment, reducing network latency and the burden of sending data off site.
- Natural language interface
- Operators can work with the system by asking questions in plain language.