Miracom Inc. Launches Effort to Spread Manufacturing AX and RX… Pushes Field Pilots at 6 Companies
TECHWORLD · · 1 views
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Miracom Inc. has joined the "2026 Win-Win AX Leading Model Build Support Project" to support AI transformation (AX) and robot transformation (RX) for small and midsize manufacturing companies.
The project, overseen by the Ministry of SMEs and Startups, uses large companies' manufacturing innovation capabilities to support end-to-end AX transformation at small and midsize manufacturers.
Miracom Inc. has signed a four-party agreement with the adopting companies, the Korea Institute of Startup and Entrepreneurship Development, and the Korea Standards Association, and will build AI application models and conduct field demonstrations for a total of 6 manufacturing companies.
Miracom Inc. has launched the "2026 Win-Win AX Leading Model Build Support Project." Miracom Inc. joined the initiative to support AI transformation (AX) and robot transformation (RX) for small and midsize manufacturing companies, and has begun related support.
The Ministry of SMEs and Startups oversees the project. The project is being pursued by leveraging large companies' manufacturing innovation capabilities, and its support scope covers end-to-end AX transformation for small and midsize manufacturers.
The project aims to introduce proven AI application models to manufacturing sites, verify productivity and quality improvement results, and create leading cases that can be expanded to other manufacturing companies. Miracom Inc. said it will fully push ahead with AI and robot technology application projects for manufacturing sites on the 2nd.
Miracom Inc. signed a four-party agreement with the adopting companies, the Korea Institute of Startup and Entrepreneurship Development, and the Korea Standards Association. Miracom Inc. will build AI application models and carry out field demonstrations for a total of 6 manufacturing companies, and the 5 companies that have completed the agreement are Solbrain, HANA Micron, Magnachip Semiconductor, Samsong, and Kumho Tire. The remaining 1 company will join the project sequentially after completing the agreement process.
The project will be pursued in stages, reflecting each adopting company's manufacturing environment and data characteristics. Its scope ranges from building a data collection system to system integration and AI model application. The project also includes AI engineer services, a predictive logistics operation system, and the application of humanoid robots.
In the production and quality areas, the project will use AI to optimize production planning and establish systems for yield anomaly detection, root-cause analysis, and early defect detection. Through this, it aims to reduce manufacturing lead times and work-in-process inventory, while improving output and quality.
For a platform to support on-site decision-making, Miracom Inc.'s AI agent platform will be applied. The company plans to develop specialized agents for production, equipment, process, and quality, and to apply an agentic AI structure in which tasks are performed based on information exchange among agents.
In the RX area, the company will push ahead with AI-based upgrading of existing manufacturing logistics automation. Existing rule-based robots had limitations in that control logic had to be reset when task sequences changed or equipment layouts were modified. The humanoid robot in this project will directly pick needed materials based on functions for recognizing material locations, recognizing loading states, and recognizing surrounding work environments.
The transportation method for picked materials to the production line is an automated warehouse and manufacturing logistics system based on AGV. Starting with this, Miracom Inc. plans to expand the application scope to assembly, inspection, and process input. Through this, it aims to reduce repetitive work and raise the level of autonomous manufacturing.
This project aligns with the expansion of Miracom Inc.'s existing Manufacturing Execution System (MES) and automation business into the AX and RX areas. The company is focusing on linking manufacturing data, AI, and robots, and is aiming in a direction that goes beyond simple equipment automation. The focus is on upgrading the overall operation method of production.
Miracom Inc. CEO Ahn Dae-jung said the project is a starting point for expanding the MES build experience and automation capabilities accumulated over the past 28 years in manufacturing sites into manufacturing AX and RX. He added that the company aims to connect AI technology to actual productivity and quality improvements to create results that adopting companies can feel directly.
Source: TECHWORLD · Kim Seung-gi
Original: https://www.epnc.co.kr/news/articleView.html?idxno=407752
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Source: TECHWORLD
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