[Algomatic] Jointly applied for the METI/NEDO-hosted "GENIAC-PRIZE" with Mitsubishi Heavy Industries, and won 2nd place in the theme "Formalization of Tacit Knowledge in Manufacturing".

Algomatic Co., Ltd. (Headquarters: Minato-ku, Tokyo, Representative Director: Shunsuke Ohno, hereinafter referred to as Algomatic) is pleased to announce that it has jointly applied with Mitsubishi Heavy Industries, Ltd. (Headquarters: Chiyoda-ku, Tokyo, President & CEO: Eisaku Ito, hereinafter referred to as Mitsubishi Heavy Industries) for the NEDO Prize Program "GENIAC-PRIZE," an initiative organized by the Ministry of Economy, Trade and Industry (METI) and NEDO to promote R&D and social implementation in the generative AI field, and has won 2nd place in the theme "Formalization of Tacit Knowledge in Manufacturing." Under the title "Formalization of Tacit Knowledge through a 'Comparative' Approach to Work Videos of Skilled and Unskilled Workers using TIG Welding Technology as an Example," we presented a proposal for an initiative to structurally extract embodied knowledge, which is difficult to verbalize in manufacturing sites, and accumulate and utilize it as explicit knowledge.

(Left: Kazuya Tsutsumi, Principal Researcher, General Research Laboratory, Mitsubishi Heavy Industries, Ltd., Right: Yuki Nanri, Director and CTO, Algomatic Co., Ltd.)

◾️About GENIAC-PRIZE

GENIAC-PRIZE is a NEDO Prize Program (NEDO Challenge) with a total prize money of approximately 800 million yen, targeting three areas of social issues, government agencies, and safety, under the following four themes. Led by METI 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 screening 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/

【Area Themes】

・ Social Issues: Development of AI Agents for Solving Social Issues Using Domestic Foundation Models, etc.

・ Theme I. Formalization of Tacit Knowledge in Manufacturing (hereinafter referred to as Manufacturing)

・ Theme II. Improving Productivity in Customer Support (hereinafter referred to as CS)

・ Government Agencies: Development of Generative AI to Contribute to the Efficiency of Examination Operations in Government Agencies, etc. (Theme III)

・ Safety: Development of Risk Discovery and Risk Reduction Technologies for Ensuring the Safety of Generative AI (Theme IV)

【YouTube】

GENIAC-PRIZE Final Screening & Awards Ceremony ※Presentations by Mitsubishi Heavy Industries and Algomatic start around 3:10:56.

About GENIAC-PRIZE