Unlike conventional automation systems or single-purpose robots, this solution integrates AI, robotics, machine vision, and cloud-based monitoring into a single, cohesive platform. This unified approach eliminates the inefficiencies of fragmented solutions by combining inspection, prediction, and optimization in one ecosystem.

Through multi-vision integration and AI-driven data analytics, the system provides predictive quality management that goes beyond traditional defect detection. Manufacturers can not only identify issues in real time but also anticipate anomalies before they lead to downtime or defects, ensuring higher operational reliability.

The platform is designed for ease of integration, offering both licensing and SaaS-based rental models to accommodate different business needs. This flexibility allows enterprises of all sizes to adopt smart factory technologies without heavy upfront investment, making digital transformation more accessible.
In addition, the system contributes to production transparency and sustainability by enabling full production history tracking through its cloud platform. This not only supports compliance with global standards but also aligns with the growing demand for ESG-driven manufacturing practices. With proven deployments and international licensing cases, the solution sets a new standard for intelligent, scalable, and sustainable factory operations.

The system is an AI-powered smart manufacturing solution that integrates robotics, machine vision, and predictive analytics into one platform. It continuously collects and analyzes data from robots, PLCs, and sensors to monitor operations, detect anomalies, and optimize production in real time.

Using multi-vision integration with 2D/3D cameras and LiDAR sensors, the system enables autonomous recognition and correction of complex processes. A 6DOF robotic arm with a 1300 mm reach and 8 kg payload, combined with an auto tool changer, ensures adaptability for multi-step operations across diverse manufacturing environments.

The solution also features a cloud-based management platform that provides production history tracking, remote monitoring, and operational transparency. This enhances both efficiency and accountability, aligning with the digital transformation goals of manufacturing enterprises.

In addition, in performing precision work (e.g., precision assembly, quality inspection, multi-variable loading, etc.) at the end-of-line (EOL) of the manufacturing line, a robot process for high-level task performance is essential. This requires multi-robot control with AI models in which multiple data sources (precision sensors and multi-modal data) are interlinked. Through the General Purpose Robot Processing Unit (GPRPU) for precision work, a physical AI – operations system is established, and a synthetic data generation studio is created by combining cloud and simulation to conduct VLM/MFM learning. 

Business models are designed for flexibility: licensing options have already been proven through international contracts, while a SaaS-based rental model is also available. These options allow manufacturers to scale adoption according to their needs while reducing quality risks, improving productivity, and accelerating their transition toward smart factory operations. 

• Manufacturing enterprises seeking smart factory transformation
• Global suppliers requiring quality assurance solutions
• System integrators and robotics OEMs for scaling deployment