Music AI, the Company Behind Moises, Raises $40M in Series A Funding Led by Connect Ventures and monashees

Music AI, a leading player in the field of AI for audio and music, has successfully raised $40 million in a funding round led by Connect Ventures—an investment partnership between Creative Artists Agency (CAA)  and NEA—and prominent Brazilian investor, monashees. Other participants include Kickstart, Samsung Next, Toba Capital, Valutia, and Pelion along with renowned music industry professionals including Steve Aoki (Aoki Labs), 3LAU, and Alexander23.

“We are deeply committed to partnering with ethically led AI companies that appropriately credit and compensate creators for usage of their work,” said Michael Blank, Managing Partner at Connect Ventures. “Music AI’s talent-friendly approach and unparalleled technology is helping them become the trusted and premier AI platform of the music industry. Beyond empowering artists, Moises enhances the creative process for musicians, producers, and content creators worldwide for practice, creation, and collaboration.”

After leading the company's Seed round, monashees is reaffirming its commitment by co-leading the Series A round. "Latin America is a hub of creativity, and we are thrilled to partner with Brazilian founders building a global company at the forefront of a new era powered by AI," said Eric Acher, co-founder and Managing Partner at monashees, the pioneer venture capital firm from Brazil.

This significant investment follows the remarkable success of the company's global consumer product, Moises, which has captivated over 50 million users worldwide and was honored as Apple's iPad App of the Year in 2024. The multi-platform suite of AI tools provided by Moises serves a broad audience, ranging from music beginners and students to world-class musicians and producers.

Originally launched in 2019 as an AI-first consumer app, the company has evolved into a research powerhouse for AI development that not only empowers creators, producers and musicians but also serves the broader audio industry. Thanks to its proprietary technologies and industry-leading AI, including the highest quality stem separation, Music AI has attracted industry giants, positioning the company at the forefront of a new era in AI-driven audio technologies for both server-side applications and edge computing.

"Music AI’s commitment to on-device AI aligns with the future of embedded technology, allowing models to run directly on hardware for faster performance, better privacy, and reduced cloud dependency," explains Carlos Castellanos, investor at Samsung Next. "Their proprietary models, third-party integrations, and on-device AI capabilities ensure reliability, security, and scalability across smartphones, smart TVs, and other connected devices—all while elevating the end-user experience with cutting-edge features.”

Music AI has been advancing a variety of technologies in the field of music. These include Music Information Retrieval (MIR) solutions, which encompass technologies like stem separation, chord recognition, key and beat detection, and music transcription. In 2023, the company expanded its focus to include generative solutions, such as singing voice modelling and assistive music creation.

The company is committed to developing ethical AI solutions strictly trained on fully licensed content that empower creators by compensating them fairly and that enhance artistic creativity. "Securing this Series A funding underscores the real-world impact our technologies have on the creative industry," said Geraldo Ramos, CEO of Music AI. "We're ready to advance our mission of making music innovation accessible to all, and we're eager to explore new possibilities with a focus on practical applications."

About Music AI
Founded by Geraldo Ramos, Eddie Hsu, and Jardson Almeida, Music AI is a leader in AI-driven music and audio technology. With a team of over 90 collaborators across the USA, Brazil, and Europe, the company provides solutions through its B2B Music.ai and B2C Moises.ai platforms. Music AI's technologies are used by artists, producers, record labels, agencies, technology firms, and developers. Serving over 50 million users and processing more than 2.5 million minutes of audio daily, Music AI offers over 50 AI models. These models, including stem separation and lyrics transcription, are available via Cloud APIs and Embedded SDKs.