The Korea Technology Agency's Artificial Intelligence Innovation Promotion Division has completed the selection evaluation for the 'Development of Multi-AI Agents Specialized for Small Manufacturing' aimed at facilitating the AI transformation in small manufacturing sectors.
According to the agency on June 22, a total of 172 projects were submitted for evaluation, and after a comprehensive assessment of their technological feasibility, business viability, and applicability in the field, 12 projects were ultimately selected.
The selected projects span various manufacturing industries, including food, beauty, automotive parts, and metal processing. The agency noted that the focus is on solving key issues in small manufacturing, such as production management, quality control, and process optimization.
Multi-AI agents will connect multiple AI agents with different roles—such as process status analysis, quality risk prediction, control recommendations, and on-site reporting—tailored to the workflow of manufacturing sites.
The small manufacturing sector often relies on the experience of skilled workers for non-standard decision-making tasks, such as assessing process anomalies, responding to quality variations, and adjusting production conditions. This has led to a high demand for AI utilization that connects on-site data to actual decision-making.
The 12 selected projects will receive up to 300 million won in government-supported research and development funding over six months to conduct proof-of-concept studies for technology verification in manufacturing settings.
Earlier, the agency held a briefing in April on the '2026 Small Business Specialized AI Model R&D Project,' where it introduced the development of multi-AI agents specialized for small manufacturing.
Ahn Kwang-hyun, head of the Artificial Intelligence Innovation Promotion Division, stated, "This project is a starting point for creating tangible AI utilization outcomes that small manufacturing companies can experience firsthand and for establishing a foundation for the widespread adoption of AI in manufacturing environments."
* This article has been translated by AI.
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