
Moises
Music-tech platform offering musicians and producers a suite of AI tools such as audio separation, pitch/beats/chord detection, metronome, tempo changer and mastering.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor investor | €0.0 | round |
investor investor investor investor investor | €0.0 | round | |
N/A | €0.0 | round | |
investor investor investor investor investor investor investor | €0.0 Valuation: €0.0 | round | |
* | N/A | $10.3m Valuation: $51.3m 1.6x EV/Revenue | Early VC |
Total Funding | 000k |
USD | 2020 | 2022 | 2023 |
---|---|---|---|
Revenues | 0000 | 0000 | 0000 |
% growth | - | - | 105 % |
EBITDA | 0000 | 0000 | 0000 |
Profit | 0000 | 0000 | 0000 |
EV | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 |
Source: Dealroom estimates
Related Content
Moises.ai is an innovative company operating in the music technology sector, offering an AI-powered application designed to enhance the music creation and learning experience. The core product allows users to separate vocals, drums, guitar, bass, and other instruments from any song, making it an invaluable tool for musicians, producers, and music enthusiasts. The app also features pitch and speed adjustment, chord detection, and smart metronome functionalities, enabling users to practice, learn, and perform with greater ease and precision.
The primary market for Moises.ai includes individual musicians, music educators, and hobbyists who seek to improve their skills and create high-quality music content. The business model is based on a freemium approach, where basic features are available for free, and advanced functionalities are accessible through a subscription plan. This model ensures a broad user base while generating recurring revenue from premium subscribers.
Moises.ai makes money through subscription fees for its premium services, which offer enhanced features and capabilities. The company also leverages its large user base to explore potential partnerships and collaborations within the music industry.
Keywords: AI-powered, music app, vocal separation, pitch adjustment, backing tracks, musicians, music educators, freemium model, subscription, music technology.