Vionlabs
Video-discovery platform using computer vision and machine learning to generate, never before seen sentiment data, with simple integration. .
| Date | Investors | Amount | Round |
|---|---|---|---|
| investor | €0.0 | round | |
| investor | €0.0 | round | |
| investor | €0.0 | round | |
* | SEK35.0m | Late VC | |
| Total Funding | 000k | ||
| EUR | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 |
|---|---|---|---|---|---|---|---|
| Revenues | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| % growth | 413 % | 65 % | (29 %) | 20 % | (8 %) | 351 % | 103 % |
| EBITDA | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| % EBITDA margin | (716 %) | (879 %) | (766 %) | (1116 %) | - | - | - |
| Profit | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| % profit margin | (732 %) | (886 %) | (772 %) | (1113 %) | (1268 %) | (217 %) | (152 %) |
| 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
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Vionlabs operates in the artificial intelligence sector, specializing in the generation of high-quality mood metadata for video content. The company's primary service involves analyzing video content to extract mood-related data, which can be used to improve content discovery and recommendations, thereby enhancing user engagement. Vionlabs serves clients in the media and entertainment industry, including streaming platforms and advertisers. The company leverages its AI technology to provide insights that help in creating personalized viewing experiences and targeted advertising. Its business model revolves around selling its AI-driven metadata solutions to these clients, enabling them to surface hidden gems in their content libraries and optimize ad performance. Vionlabs generates revenue through subscription fees and licensing its technology to media companies and advertisers.
Keywords: AI, mood metadata, video analysis, content discovery, recommendations, streaming, user engagement, contextual advertising, media, entertainment.