Research lineage
Antescofo Platform is built on research that started at IRCAM - Institut de Recherche et Coordination Acoustique/Musique, Centre Pompidou, Paris - one of the world's foremost music technology institutions. What began as a scientific system for live concert performance is now a licensable infrastructure stack for any product that needs to interact with music in real time.
Where it started
The Antescofo score-following system was developed at IRCAM starting in 2007, tackling a problem that had challenged composers and computer musicians for decades: how to keep software synchronized with a live human performer regardless of tempo, interpretation, or error. The resulting system - combining cutting-edge machine learning for audio with real-time synchronous languages - was deployed in concert halls across Europe and America before it ever shipped in a consumer app.
In 2017, the same research team founded Antescofo the company to bring that technology to the broader market. Metronaut, launched in 2018, became the production proof: the same engine that synchronized live electronics for orchestras now powers real-time accompaniment, performance feedback, and score-following for hundreds of thousands of musicians on iOS, Android, macOS, and the web.
Antescofo Platform makes that engine available to other product teams, without the decade of research investment.
The score-following system starts at IRCAM for real-time computer music performance.
The research team forms Antescofo to bring the engine beyond concert halls.
The research engine ships in a consumer app for real-time accompaniment, score following, and feedback.
The same stack expands across iOS, Android, macOS, and web, proving the engine can support production music workflows beyond a single device ecosystem.
The core stack is available as licensable SDKs and APIs for product teams building real-time music interaction, assessment, and semantic music tools.
Research partners
IRCAM research and production teams and a major University in California are among the first groups using the Performance Analyzer API for peer-reviewed work and generation of proof data. We welcome collaboration with affiliated academic groups - contact us through the licensing page to discuss research access.
Open to research collaboration - request access via the licensing page.Selected publications
US Patent Publication
2010IEEE TPAMI
2008ICMC
The team
Research Director at IRCAM and INRIA from 2008 to 2017, where he developped the original Antescofo system and championed the community. He holds a PhD in Computer Science and Music from UCSD & Ircam, focusing on leveraging musical interaction with AI for 20+ years.
Entrepreneur, investor and former CEO with experience across AI, digital services and education. Co-founder of Antescofo, a company developing unique real-time adaptive AI technologies for music interaction and performance. Previously founded Studialis, which became part of Galileo Global Education, one of Europe's leading higher-education groups.
The Antescofo engineering and research team includes alumni of IRCAM, INRIA, and leading music technology institutions across Europe, North America and China.
