Factory Control
Digital Twin as an AI Decision Space
Executable digital twins where AI agents can simulate, compare, and improve manufacturing decisions before acting in real systems.
Executable TwinWhat-if SimulationLook-ahead ReasoningAgent Decision Space

Beyond visualization
A digital twin is treated not only as a visual replica but as an executable decision space where AI can test candidate actions and observe their consequences.
Look-ahead reasoning
Agents can run what-if simulations, compare control strategies, estimate cycle time and safety impacts, and select actions that are robust to changing workcell states.
Closed-loop learning environment
The digital twin connects virtual commissioning, operation monitoring, and learning from execution traces to improve future control and scheduling decisions.