【Algomatic】Awarded 2nd place in the "Formalization of Tacit Knowledge in the Manufacturing Industry" theme at the "GENIAC-PRIZE" hosted by METI and NEDO, in a joint application with Mitsubishi Heavy Industries.

Algomatic Inc. (Headquarters: Minato-ku, Tokyo, CEO: Shunsuke Ohno, hereinafter Algomatic) is pleased to announce that it has won second place in the "Formalization of Tacit Knowledge in the Manufacturing Industry" theme of the "GENIAC-PRIZE," a NEDO prize-based program aimed at promoting research, development, and social implementation in the field of generative AI, in a joint application with Mitsubishi Heavy Industries, Ltd. (Headquarters: Chiyoda-ku, Tokyo, President & CEO: Eisaku Ito, hereinafter Mitsubishi Heavy Industries). The presentation, titled "Formalizing Tacit Knowledge through a 'Comparative' Approach of Work Videos of Skilled and Unskilled Workers, Using TIG Welding Technology as an Example," proposed an initiative to structurally extract physical knowledge that is difficult to verbalize on the manufacturing floor, and to accumulate and utilize it as formal knowledge.

(Left: Kazuya Tsutsumi, Chief Researcher, Research & Innovation Center, Mitsubishi Heavy Industries, Ltd.; Right: Yuki Nanri, Director & CTO, Algomatic Inc.)

◾️About GENIAC-PRIZE

GENIAC-PRIZE is a NEDO prize-based program (NEDO Challenge) with a total prize pool of approximately 800 million yen, targeting the following four themes across three domains: social issues, government agencies, and safety, where solutions by generative AI services are desired. Led by the Ministry of Economy, Trade and Industry and NEDO, it was held to promote development and demonstration by diverse entities in various regions and to accelerate the utilization and social implementation of generative AI applications. At the final judging and award ceremony on March 24, 2026, a total of 42 prize winners were selected from over 200 applications.

https://geniac-prize.nedo.go.jp/

【Domain Themes】

・ Social Issues: Development of AI agents to solve social issues utilizing domestic foundational models, etc.

・ Theme I. Formalization of tacit knowledge in the manufacturing industry (hereinafter, Manufacturing)

・ Theme II. Improving productivity in customer support (hereinafter, CS)

・ Government Agencies: Development of generative AI to contribute to the efficiency of review processes, etc., in government agencies (Theme III)

・ Safety: Development of risk exploration and risk reduction technologies to ensure the safety of generative AI (Theme IV)

【YouTube】

GENIAC-PRIZE Final Judging & Award Ceremony ※The presentation by Mitsubishi Heavy Industries and Algomatic starts around 3:10:56

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