LG CNS is targeting the North American manufacturing AX (AI Transformation) market with its AI-powered smart factory solutions.
The company participated in “IoT Tech Expo 2026,” held in San Jose, California, on June 18-19 (local time), where it introduced key solutions from its integrated smart factory brand, Factova, to global customers.
Factova is a smart manufacturing platform that applies AI, big data, and IoT technologies across the entire production process to optimize operations and create intelligent factories. The platform combines more than 20 years of manufacturing expertise and operational know-how accumulated from domestic and global production sites, including LG affiliates.
LG CNS said it aims to help small and mid-sized manufacturers adopt solutions that have already been proven at large-scale manufacturing facilities. One of the company's flagship offerings is “Factova MES,” a manufacturing execution system that integrates and manages the entire production workflow.
The AI-powered system collects and analyzes factory data in real time to reduce inefficiencies and optimize operations. Its modular structure allows manufacturers to implement only the functions they need initially and later expand capabilities step by step.
LG CNS also showcased “Factova Control,” a solution designed to integrate and manage production equipment data. The platform collects, standardizes, and controls real-time data from machinery made by different manufacturers and can easily connect with higher-level factory systems such as MES.
The solution also includes AI-based anomaly detection and predictive maintenance functions to improve operational stability. For example, it can analyze motor current, temperature, and vibration data in real time to identify signs of failure before breakdowns occur, upgrading traditional experience-based inspections into AI-driven predictive maintenance systems.
Factova Control has already been deployed across more than 100,000 pieces of equipment at manufacturing sites worldwide.
LG CNS also highlighted performance improvements achieved by domestic manufacturers using Factova solutions. One battery plant reportedly achieved a product yield rate exceeding 90% within a month of implementation while reducing defective product return costs by around 70%.
At another electronics manufacturing site, workplace productivity improved by roughly 20%, and more than 90% of process data collection became automated.
The company additionally introduced solutions tailored for industries requiring ultra-precise process management, including semiconductors, displays, aerospace, and medical devices. These include fault detection and classification (FDC), statistical process control (SPC), and out-of-control action plan (OCAP) solutions, which help predict defects and maximize production yield through data-driven optimization.
LG CNS also demonstrated its “Gen AI Safety Environment” service. Using a smartphone app, workers can take photos of workplace accidents and record voice memos, which generative AI then analyzes to automatically register incident details in the system. The platform can also provide initial response guidelines based on similar past cases.
As workplace safety and environmental management become increasingly important in manufacturing, the service attracted strong interest from attendees.
Shin Jae-hoon, head of LG CNS's Smart Factory Business Division, said, “Based on our extensive experience building and operating smart factories at large-scale manufacturing sites, as well as our AX technological capabilities, we are accelerating our expansion into the North American market.”
He added, “We will support small and mid-sized manufacturers in achieving AI-driven factory intelligence through LG CNS's diverse smart factory solutions.”
IoT Tech Expo is an annual event focused on IoT and AI convergence technologies, attracting around 200 global IT and manufacturing companies and 8,000 industry participants each year. This year's event featured exhibition booths from companies such as IBM, SAP, and Deloitte, while NVIDIA and Schneider Electric participated as conference speakers.
