BMAT LICENSING SL

Their core work

BMAT is a Barcelona-based music technology SME specializing in automatic music identification, music information retrieval, and predictive analytics for the music industry. They develop systems that can identify live music performances and cover versions, and build recommendation and analytics services for music rights management. Their H2020 work spans blockchain-based media rights infrastructure, machine learning for music recognition, and training the next generation of music information processing researchers.

What they specialise in

How they've shifted over time

BMAT's H2020 participation spans a short but focused period (2017–2022), making long-term evolution difficult to trace. Their earlier projects (MILC, BLOOMEN, FuturePulse — all starting 2017) covered music identification, blockchain media rights, and predictive analytics. Their latest involvement (MIP-Frontiers, 2018–2022) shifted toward foundational music information retrieval research through an MSCA training network, suggesting a move from applied product development toward deeper research collaboration and talent pipeline building.

BMAT appears to be deepening its research foundations in music information processing while maintaining its commercial music identification capabilities — a good partner for projects needing both applied technology and academic rigor.

How they like to work

BMAT shows a balanced collaboration profile: they coordinated 2 of their 4 projects, demonstrating leadership capability, while also contributing as participant and third-party expert. With 29 unique partners across 11 countries, they maintain a broad European network despite being a small company. Their willingness to join MSCA training networks as an industry partner signals openness to academic-industry collaboration.

BMAT has built a network of 29 partners across 11 countries through just 4 projects, indicating participation in medium-to-large consortia. Their network spans both industry and academia, reflecting their bridge role between music technology research and commercial application.

What sets them apart

BMAT occupies a rare niche as an SME with deep expertise in music identification and rights technology — a domain with few dedicated players in EU research. Their combination of commercial music recognition products and active participation in academic research networks makes them a natural bridge between the music industry and the research community. For any consortium dealing with audio analysis, media rights, or creative industry analytics, BMAT brings both working technology and domain-specific datasets.

Highlights from their portfolio

• FuturePulse
  Largest funded project (EUR 385,158) where BMAT coordinated multimodal predictive analytics for the music industry — their flagship H2020 effort.
• MIP-Frontiers
  MSCA training network bringing BMAT into fundamental music information retrieval research, signaling commitment to advancing the field beyond commercial applications.
• BLOOMEN
  Positioned BMAT at the intersection of blockchain and media, exploring decentralized approaches to music rights and participatory media.