| Brief |
PrefactorTech is a certified automation engineering service provider recognized by Taiwan’s Ministry of Economic Affairs, with accredited AI technical service capabilities from the Ministry of Digital Affairs. We specialize in AI vision, edge computing, automation control, and digital twin technologies, providing end-to-end solutions from requirement analysis and system planning to virtual validation and on-site deployment. With extensive experience in smart manufacturing and industrial automation, PrefactorTech has completed more than 400 automation systems and over 50 AMR projects.
Our technology strategy is built around two core pillars: Physical AI and Digital Twin.
Physical AI enables AI to go beyond visual recognition and directly interact with the physical world. Through our own AI Action Camera, AIQC no-code training software, and AI-LINK control module, we integrate AI vision, Edge AI, and physical I/O control into one solution. Production personnel can perform image capture, annotation, model training, inference, and logic configuration without Python, PLC programming, or AI expertise. AI results can then be connected directly to PLCs, robotic arms, AMRs, conveyors, and other factory equipment.
Typical Physical AI applications include assembly verification, quality inspection, vision-guided pick-and-place, AMR positioning, foreign object detection, and automated sorting. This allows equipment to move beyond fixed control logic and gain the ability to sense, decide, and respond in real time.
Our second core pillar is Digital Twin. Using Visual Components, PrefactorTech creates virtual models of production lines, robots, and logistics systems. Before actual deployment, customers can validate layouts, robot paths, automation processes, and control logic in a virtual environment. This helps identify design issues earlier, reduce on-site trial and error, and shorten commissioning time.
By combining Physical AI with Digital Twin, PrefactorTech creates a complete workflow from Virtual Validation to AI Perception and Physical Action. Systems can first be tested virtually, then use AI to understand real-world conditions, and finally convert AI decisions into physical equipment actions.
PrefactorTech does not manufacture complete robots. Our role is to provide AI vision sensing and decision technologies, no-code AI training, physical control interfaces, Digital Twin solutions, and automation system integration services.
Physical AI, Deployed — Connecting AI Vision to Physical Action. |
