
Song Sleuth
Song Sleuth is an AI and machine learning platform that helps rights owners claim undiscovered royalties.
Date | Investors | Amount | Round |
---|---|---|---|
N/A | €0.0 | round | |
N/A | €0.0 | round | |
N/A | €0.0 | round | |
* | N/A | Acquisition | |
Total Funding | 000k |
USD | 2022 | 2023 |
---|---|---|
Revenues | 0000 | 0000 |
% growth | - | 222 % |
EBITDA | 0000 | 0000 |
Profit | 0000 | 0000 |
EV | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x |
R&D budget | 0000 | 0000 |
Source: Dealroom estimates
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Song Sleuth positions itself as a critical technology partner for the music industry, focused on solving the complex issue of User-Generated Content (UGC) royalty collection. Founded in 2021 by CEO Jordan Gross and Co-Founder & CTO Ibrahim Maali, the company operates with a clear mission: to locate and monetize hard-to-detect uses of music on social and sharing platforms that traditional systems often miss. The leadership team's background is directly relevant to this challenge; Gross previously served as the CEO of Sing King, YouTube's largest karaoke channel, and founded live music venues, giving him firsthand insight into digital content and live performance monetization.
The company's core business revolves around identifying previously undiscovered royalties for its clients, which include labels, artists, publishers, and other music rights holders. Song Sleuth's business model is service-based, where it deploys its technology to find unmonetized content and facilitates the claims process on behalf of the rights holder, thus recovering lost revenue. This addresses a significant financial leakage problem in the digital music economy. The firm's expertise was validated by its acquisition by Epidemic Sound in April 2025, a move intended to bolster Epidemic's capabilities in tracking and monetizing music in the creator economy.
Song Sleuth's product suite offers a multi-faceted solution. The flagship product, UGSeeker, is an AI and machine learning platform that scans major online platforms for unlicensed content, including live performance recordings. A key feature is the human moderation layer, which reviews potential matches before submitting a monetization claim, ensuring accuracy. Complementing this is 'Livelink', a tool designed for near real-time identification of live music UGC, allowing rights holders to monetize content almost as soon as it's uploaded. Finally, its 'Insights' tool provides data analytics on the vast amounts of user-uploaded content it discovers, offering clients valuable information for revenue, marketing, and licensing strategies. Together, these products provide a comprehensive service to ensure artists and rights holders are compensated for the use of their work in the ever-expanding landscape of user-generated content.
Keywords: music royalty collection, user-generated content, UGC monetization, rights management, AI music recognition, royalty discovery, digital rights management, unclaimed royalties, live music UGC, music technology, content identification, Epidemic Sound, Jordan Gross, UGSeeker, intellectual property, music publishing, royalty recovery, content claiming, music industry finance, streaming royalties, social media music