LG CNS Showcases Innovative Pharmaceutical AX Solutions at CPHI Milan 2026

LG CNS, a leading South Korean company in AI transformation, has expanded its reach into the pharmaceutical sector by presenting its AX (Digital Transformation) solutions at CPHI Milan 2026, the premier global event for the pharmaceutical and biotechnology industries. This year's exhibition, attracting around 60,000 attendees and approximately 3,000 companies from over 160 countries, is widely regarded as the ultimate platform for showcasing cutting-edge technologies and trends within these fields.

The LG CNS exhibit is themed around "The Autonomous Factory in the Pharmaceutical Sector,” featuring three intelligent manufacturing solutions designed to streamline the construction and operation of pharmaceutical manufacturing facilities. These offerings provide comprehensive support from the initial design phase through to quality management during production.

Highlights of LG CNS Solutions

1. Virtual Validation Simulator - Factova Worldworks
At the design stage, LG CNS introduced Factova Worldworks, a virtual validation simulator leveraging digital twin technology. This tool accurately replicates the real factory in a virtual space, allowing for 3D modeling of the factory layout. It helps in determining the optimal placement of pharmaceutical manufacturing equipment, staff movement pathways, and raw material logistics. Given that pharmaceutical plants must separate clean rooms and production areas to prevent contamination, careful planning of employee access routes is crucial.

2. Data Normalization and Control - Factova Control
Once production commences, Factova Control becomes instrumental in normalizing data and controlling equipment. It automates the conversion of process data—such as raw material identification numbers and formulations—into standardized formats. This streamlining ensures that each manufacturing step is based on consistent data, thus enhancing efficiency. The solution also utilizes AI to detect equipment anomalies and predict failures by analyzing real-time data around electrical current, temperatures, and vibrations, allowing for immediate corrective actions.

3. Quality Management System
This advanced quality management solution assesses production data, raw material temperature variations, and equipment operational histories to identify potential quality issues. It encompasses the entire process—from root cause analysis to remediation measures when problems are spotted. Notably, when a process anomaly is detected, the system calculates alternative solutions to rectify the issue and applies them in the next production step, effectively preventing the occurrence of defective products. Additionally, an AI agent generates the Annual Product Quality Review (APQR), automating the data collection and analysis process that previously consumed months, thus reducing the time required by over 90%.

Eddie Jang, Head of the Chemistry/Batteries Division at LG CNS, emphasized, "The AX solutions presented at this exhibition are specifically tailored for the pharmaceutical industry, enabling us to support our clients in pharmaceuticals and biotechnology through intelligent automation that spans from plant design to quality management. As a comprehensive provider covering all manufacturing areas, we will continue to leverage our advanced solutions to tackle the challenges associated with developing pharmaceutical production sites, which demand high precision and strict quality standards. Our goal is to assist clients in producing medicines more effectively and efficiently."

Conclusion

LG CNS’s participation at CPHI Milan 2026 not only solidifies its position as a key player in the AI transformation sector but also showcases its commitment to advancing the pharmaceutical manufacturing landscape through innovative solutions. This event underscores the company’s ability to integrate modern technology into traditional production methods, ultimately paving the way for enhanced productivity and quality in the pharmaceutical industry.

For more information, visit LG CNS Website.