LG CNS said on the 30th that it held AX Fair 2025, an event inviting corporate customers, at the Conrad Hotel in Yeouido, Seoul, and introduced the latest AX (AI transformation) innovation cases based on agentic artificial intelligence (AI) and physical AI.
That day, LG CNS unveiled AgenticWorks, an agentic AI platform for corporations. Composed of six modules, the platform supports the entire lifecycle of designing, building, operating, and managing corporations' agentic AI services. It can be used in both on-premises (deployment-type) and cloud environments. The company said that using the "VoC (customer review) analysis agentic AI service" built with AgenticWorks can reduce the time to classify 1,000 cases from the existing two days to about 40 seconds.
Kim Tae-hoon, head of the AI Cloud Business Unit at LG CNS (executive vice president), said, "Based on experience with hundreds of AX projects, we developed the enterprise platform AgenticWorks, which allows corporations to build and operate agentic AI services easily and safely," and added, "We will lead a major shift to an agentic AI system focused on achieving goals and become an AX partner that designs the future together with customers."
Keynote speakers included Jin Yo-han, head of the AI Center at LG CNS (senior vice president); Lim Eun-young, head of the GenAI Business at LG CNS; Ivan Zhang, co-founder of Cohere; Lee Hwa-young, senior vice president at the LG AI Research Institute; and Myung Hyun, professor at KAIST.
LG CNS also shared logistics RX (robot transformation) innovation cases and the status of its robot intelligence initiatives under the theme of physical AI.
Representative examples include robots the company provides in its smart logistics and factory businesses—such as AutoStore and autonomous mobile robots (AMR)—as well as simulation-based synthetic data generation and training for physical AI, and technologies for using humanoid robots.
At the exhibition booth, there were demonstrations of various services based on autonomous mobile robots (AMR) and humanoid robots. LG CNS is conducting its own research and development that uses technologies such as remote control, VLA (vision-language-action) training, and simulation-based reinforcement learning to train on-site data into an open-source robot foundation model (RFM). Through this, it is advancing the task motions of humanoid robots within logistics centers.
According to LG CNS, about 1,000 officials from corporations across various industries—including manufacturing, logistics, finance, retail, public, and healthcare—attended the event that day.