Geraldo Ramos
CEO

Moises utilizes machine learning and AI-driven audio separation technology to enable users to isolate or remove vocals and instruments from any song, facilitating personalized music practice. The platform addresses the challenge of musicians needing to adjust pitch, speed, and access real-time chord detection, enhancing their learning and performance experience.
Raised to date
$50.3MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.




Musicians often struggle to isolate specific instruments or vocals within a song for practice, learning, or creating backing tracks. Existing methods for audio separation can be complex, time-consuming, and require specialized software. This limits accessibility and hinders the creative process for many musicians.
Moises provides an AI-powered audio separation platform that allows musicians to easily isolate or remove vocals and instruments from any song. Using machine learning, the platform separates audio tracks into individual stems, such as vocals, drums, bass, guitar, and keys. Users can then adjust the volume, mute, or isolate specific instruments to create custom practice mixes or backing tracks. The platform also offers features like pitch and speed adjustment, smart metronome, and real-time chord detection to further enhance the learning and practice experience.
The primary target audience includes musicians, music students, educators, and hobbyists who want to practice, learn, or create music more effectively.