 | AI-Driven Zero-Touch Mapping AI autonomously analyzes physical environment data to handle the entire process from mapping to setup, allowing seamless deployment with zero human touch. |
 | Intelligent Decision-Making Using deep learning algorithms, Cyber-Physical AI enables AMRs to perceive, predict, and respond to complex factory environments in real time. This effectively eliminates the need for expert intervention on-site. |
 | Standardized Fleet Orchestration Diverse manufacturer protocols are redesigned into a standardized data architecture. This allows heterogeneous fleets to be controlled as a single organic system within the cyber domain. |
CEO
Experienced APAC Business Leader with 20+ years of industry experience in AI robotics, packaging, medical, and chemical sectors, spanning multinational corporations and startup environments, who has built expert teams by recruiting top talent across APAC and established strong B2B partnerships.
CTO
Professor at DGIST, former senior engineer at Samsung Electronics, and postdoctoral researcher at UIUC. He first proposed the concept of Cyber-Physical AI (CP AI). He is dedicated to bridging academia and industry, focusing on the deep integration of AI with physical systems in smart manufacturing.
Head of Product
Ph.D. candidate at DGIST, conducted research on Cyber-Physical Systems, ROS, AMRs and unmanned swarm systems and applied this expertise to drive the development of industry-grade automation and autonomy solutions, with specialized proficiency in robot software architecture and real-time robotic networking.
Managing Director, Taiwan
Experienced APAC Business Leader with 16+ years of experience in leading international markets and business development, with expertise in partnership building and B2B operations management. Senior background in security electronics, automation, and AI robotics industries.
Advisor
Professor Yongwook Paik is a tenured professor at KAIST College of Business with a Ph.D. in Economics from UC Berkeley. Previously a professor at USC and Washington University in St. Louis, and a patent attorney at Kim & Chang, he combines academic depth with practical experience. He currently advises S innovations on business strategy and corporate innovation.
