
Riyaz
Pocket music guru, anytime and anywhere!.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor investor | €0.0 | round |
N/A | €0.0 | round | |
N/A | €0.0 | round | |
investor | €0.0 | round | |
$700k | Seed | ||
Total Funding | 000k |
USD | 2019 | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|---|
Revenues | 0000 | 0000 | 0000 | 0000 | 0000 |
% growth | - | 54 % | 11 % | - | - |
EBITDA | 0000 | 0000 | 0000 | 0000 | 0000 |
Profit | 0000 | 0000 | 0000 | 0000 | 0000 |
EV | 0000 | 0000 | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 | 0000 | 0000 |
Source: Dealroom estimates
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Riyaz, the flagship product of MusicMuni Labs Private Limited, operates as a music education technology firm with a specialized focus on vocal training. The company was co-founded in 2015 by Gopala Krishna Koduri and Sangeet Sagar, who leveraged their deep backgrounds in music technology research to address a gap in the market. Their journey began at the Music Technology Group of Universitat Pompeu Fabra in Barcelona, a notable center for Music Information Research, where they cultivated the expertise that forms the foundation of the Riyaz platform. This academic and research-oriented origin provides the company with a distinct approach to music pedagogy.
The business centers on a mobile application that delivers a digital personal trainer for aspiring singers. Riyaz targets a global audience of music learners, from beginners to more advanced students, who seek structured and affordable vocal lessons. The application's core functionality rests on a proprietary AI engine that provides real-time, objective feedback on vocal performances, correcting pitch and rhythm instantly. This technology is designed to simulate the guidance of a human teacher, making practice sessions more effective for users learning independently. The platform's content library is extensive, offering thousands of practice lessons across various genres, including Carnatic, Hindustani, and Western classical music, as well as Bollywood and devotional songs.
The revenue model is primarily subscription-based, offering tiered access to its content and features. A freemium model allows users to engage with basic lessons, while a premium subscription unlocks the full catalog and advanced functionalities. This structure aims to make music education accessible to a broad user base while generating a sustainable income stream. The company has secured funding from investors such as the GSF Accelerator and has been recognized by programs like Google for Startups, indicating confidence in its market position and growth potential.
Keywords: music education, vocal training, AI music coach, singing app, music technology, edtech, subscription model, real-time feedback, digital music tutor, mobile learning