DOREMIR MUSIC RESEARCH AB

Their core work

DoReMIR Music Research is a Stockholm-based technology SME specializing in music information retrieval (MIR) and automatic music transcription — the computational process of converting audio recordings into structured musical notation. Their core product work centers on polyphonic audio analysis: parsing complex, multi-voice music signals where multiple instruments or voices sound simultaneously, which remains one of the hardest problems in audio AI. They bridge academic music signal processing research and commercial music technology applications, having secured both a Phase 2 SME Instrument grant (reserved for companies with validated business cases) and participation in an EU-funded doctoral training network.

What they specialise in

How they've shifted over time

DoReMIR began its H2020 journey with a tightly scoped commercial problem: building automatic transcription software for polyphonic music, a hard applied-AI challenge with a clear product market. Their early SME Instrument Phase 2 grant signals they had a working prototype and a business case ready to scale. By 2018, their participation in MIP-Frontiers suggests a deliberate move toward the broader academic research community — contributing to and learning from a European doctoral training network that pushed the boundaries of music information processing. The trajectory is from product-focused applied technology toward deeper research collaboration, possibly reflecting their intent to keep pace with fast-moving AI methods in audio.

DoReMIR appears to be deepening its research foundations while maintaining its commercial SME identity — making them a strong candidate for applied-research roles in future audio AI or creative-tech consortia.

How they like to work

DoReMIR has led one project as coordinator and joined one as a participant, suggesting they are comfortable in both roles. Their consortium footprint is relatively modest — 15 unique partners across 7 countries from just two projects — pointing to focused, purpose-built consortia rather than sprawling networks. As an SME that has both led an EU grant and participated in a Marie Curie training network, they bring pragmatic industry grounding to academic-leaning consortia and vice versa.

DoReMIR has built a network of 15 unique partners across 7 countries through two projects — a compact but genuinely European footprint. Their network spans both industry-facing and academic research partners, reflecting their dual role as a commercial SME and research collaborator.

What sets them apart

DoReMIR occupies a rare niche: a commercial SME with deep technical expertise in music AI that has successfully competed for EU funding in a highly specialized domain. Very few companies worldwide work specifically on polyphonic music transcription at research depth, and even fewer have both an SME Instrument Phase 2 grant and an MSCA network affiliation to their name. For consortia needing a credible industry partner at the intersection of audio AI, creative industries, and music technology, DoReMIR is a distinctive choice.

Highlights from their portfolio

• DoReMIR
  As coordinator of a €2.09M SME Instrument Phase 2 grant — one of the EU's most competitive SME funding tracks — this project validates DoReMIR's commercial readiness and technical leadership in automatic music transcription.
• MIP-Frontiers
  Participation in this MSCA Innovative Training Network (2018–2022) shows DoReMIR's ability to operate as an industry partner in academic doctoral training, broadening their reach into the European MIR research community.