[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") announces that it has won second place in the "Formalization of Tacit Knowledge in the Manufacturing Industry" theme of the "GENIAC-PRIZE," a prize-based program by NEDO aimed at promoting research, development, and social implementation in the field of generative AI. The entry was a joint application with Mitsubishi Heavy Industries, Ltd. (Headquarters: Chiyoda-ku, Tokyo; President & CEO: Eisaku Ito; hereinafter "MHI"). Titled "Formalization of Tacit Knowledge Through a 'Comparative' Approach of Work Videos of Skilled and Unskilled Workers, Using TIG Welding Technology as an Example," the proposal presented an initiative to structurally extract physical knowledge that is difficult to verbalize in a manufacturing setting, and to accumulate and utilize it as formal knowledge.

(Left: Mr. Kazuya Tsutsumi, Chief Research Scientist, 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 four themes across three domains where solutions by generative AI services are desired: social issues, government agencies, and safety. Led by the Ministry of Economy, Trade and Industry (METI) and NEDO, it was held to encourage development and demonstration by diverse entities in various regions, aiming to accelerate the utilization and social implementation of generative AI applications. At the final judging and awards 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 using 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 contributing 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 & Awards Ceremony ※The presentation by Mitsubishi Heavy Industries and Algomatic starts around 3:10:56