MPAG (CEO Inseo Jeong) was selected as one of the '50 Best R&D Achievements of Small and Medium Enterprises in 2025' by the Ministry of SMEs and Startups.
The "50 Best SME R&D Achievements" program verifies the technological innovation achievements of SMEs across four categories: technology commercialization, strategic technology, limitations and re-challenge, and public innovation. This year, the competition rate was 7.2 to 1. MPAGE was recognized for its outstanding commercialization performance and contribution to strengthening technological competitiveness, earning a spot in the technology commercialization category.
With this selection, MPA will receive a commendation from the Minister of SMEs and Startups, participation in investment support programs, and support for participation in global exhibitions. Based on this recognition, MPA plans to expand the international user base of its AI music education app, "My Music Five," and enhance user convenience and learning capabilities.
MPAGE operates a corporate research institute and has focused on developing AI music recognition technology. It possesses technology that precisely analyzes pitch, duration, and dynamics in real time, identifies notes through sound melody analysis, and understands structural information in sheet music. Furthermore, in collaboration with the KAIST Music and Audio Computing Lab (MACLab), the company is conducting research on an AI sheet music system based on performance difficulty and is working to build a personalized learning environment for performers.
Jeong In-seo, CEO of MPAGE, said, “This selection is significant in that MPAGE’s technological prowess has been officially recognized,” and added, “We will create technological development results through government R&D projects and establish ourselves as a leading company in the global music tech market going forward.”
Meanwhile, 'My Music Five' uses AI technology to recognize the performer's voice in real time, determines pitch accuracy, and provides a function to support learning by automatically turning the music score according to the flow of the performance.
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