Overview
Introducing RoboMolding, Moldintel’s vision for autonomous, self-learning injection molding. By integrating four AI-powered modules—sMolding, sTroubleshooting, StabMolding, and ParameterTransfer—RoboMolding creates a connected workflow covering intelligent process setup, defect troubleshooting, real-time process stabilization, and parameter transfer across machines. Discover how these technologies work together to transform conventional injection molding machines into intelligent, adaptive manufacturing systems, enabling more autonomous, consistent, and efficient production.
Speakers
Dr. John Y.H. Chang is the Founder and CEO of Moldintel. He holds a Ph.D. in Mechanical Engineering from Chung Yuan Christian University, where he also served as a postdoctoral researcher and adjunct assistant professor. With over 15 years of experience in injection molding and smart manufacturing, he specializes in AI-driven process optimization and intelligent manufacturing systems. Since founding Moldintel in 2020, he has led the development of innovative AI solutions, driving the transformation of conventional injection molding toward autonomous, self-learning manufacturing.
Moldintel Co., Ltd.
〒3300303F., No. 71, Chongfa St., Taoyuan Dist., Taoyuan City 330030, Taiwan (R.O.C.)
Taiwan, Province of China
Company Profile
Moldintel Co., Ltd. is a smart manufacturing solution provider for the injection molding industry, delivering cloud-based intelligent molding modules that reduce reliance on operator experience, improve process stability, and enhance productivity and yield consistency. The system enables cross-brand machine connectivity, requires no modifications to existing equipment, and supports adaptive process control through Industrial IoT integration, driving injection molding operations toward highly automated production.