Music.AI is a cutting-edge platform offering state-of-the-art ethical AI solutions for audio and music applications. Founded in 2019, the company operates globally with a diverse team across the USA, Brazil, and Europe, processing over two million minutes of audio daily to fuel creativity and innovation for millions worldwide. At its core, Music.AI provides the highest quality audio separation available, enabling users to control vocals, instruments, and cinematic audio in real-time with AI Smart Volume™ technology. This capability is integrated into two main products: Moises, a creative suite for musicians that helps artists practice, perform, create, and collaborate from anywhere, and the Music AI Platform, which offers AI audio models to power businesses at scale. The platform's ethical approach ensures that AI enhances human creativity—intuition, emotion, and vision—rather than replacing it. Key features include real-time audio separation, AI Smart Volume for precise control, and seamless integration into any app via APIs. Benefits include enhanced practice sessions for musicians, streamlined content creation for producers, and scalable solutions for businesses needing audio processing. Use cases range from individual musicians isolating tracks for practice to companies integrating audio separation into their products. Technical details highlight the platform's ability to handle high-volume audio processing with low latency, supporting both desktop (Moises Live) and cloud-based services. Music.AI is committed to pioneering music-tech through cutting-edge research, empowering creative potential while maintaining ethical standards. The platform's robust infrastructure ensures reliability, with all systems normal as of 2026. By combining advanced AI with a human-centric philosophy, Music.AI stands as a leader in the audio AI space, offering tools that respect artists' originality while pushing technological boundaries.
musicians, music producers, audio engineers, content creators, app developers, businesses needing audio processing, artists