Musimap S.A.
Emulates the complex emotional interaction that humans have with music.
| Date | Investors | Amount | Round |
|---|---|---|---|
| - | investor investor | €0.0 | round |
| investor | €0.0 | round | |
| investor | €0.0 | round | |
€700k | Early VC | ||
| Total Funding | 000k | ||
| EUR | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 |
|---|---|---|---|---|---|---|---|
| Revenues | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| % growth | - | - | - | - | - | 10 % | - |
| EBITDA | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| % EBITDA margin | - | - | - | - | (115 %) | (65 %) | - |
| Profit | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| % profit margin | - | - | - | - | (185 %) | (160 %) | - |
| EV | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
| EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
| R&D budget | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
Source: Company filings or news article, Dealroom estimates
Related Content
Musimap is a technology company specializing in emotional artificial intelligence (AI) for the music industry. The company leverages a proprietary database of over 1 million manually annotated tracks and advanced machine learning techniques to provide unique insights and recommendations. Musimap serves a diverse range of clients, including music streaming services, advertisers, and brands looking to enhance their audience engagement through personalized music experiences. Operating in the global music market, Musimap's business model revolves around offering cloud-based big data analysis and API access to its extensive music database. The company generates revenue through subscription fees for its API services and partnerships with institutions like IRCAM, BMAT, and SoundtrackYourBrand. By mapping the global music library and continuously improving its algorithms, Musimap ensures it meets current and future technological standards.
Keywords: Emotional AI, music recommendation, annotated database, machine learning, big data analysis, API, personalized music, audience engagement, cloud-based, music industry.