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Musica Combinatoria - AI Generative Music

MUSICA COMBINATORIA

MUSI-CO revolutionizes the music making experience.

Our Generative Music technology platform is a springboard to advance and expand music languages, opening new perspectives in music production, distribution, usage.

We use AI to augment, rather than mimic, creative processes.

MUSI-CO democratizes music composition by empowering musicians with new expressive tools, and increased autonomy.

MUSI-CO’s generative music technology enables music innovation.

MUSI-CO strives for music vitality.

MUSI-CO is

ADAPTIVE – guided by and reacting in realtime to unlimited input strategies.

AUTOMATIC & TIME-UNLIMITED – fully algorithmically generative, endless streams of music.

RIGHTS-FREE – non-referable to existing music

We develop software that generates music in real-time.

Artificial Intelligence is the main ingredient of our technology.

Our demo apps

IMPRO, MusicFit

MUSI-CO presented at “Celebrating IMAGINARY_In touch with Mathematics” – Volkswagen Forum, Berlin, 4 May 2017 – its AI Generative music engines, performing 2 live sets. The first one, fully autonomous. The second one, a live, real-time interaction between a human performer, and our AI generative engine.-

MusicFit
Biometric driven, realtime, generative.
Your fitness soundtrack.
http://www.musicfit.eu/

June 2016 on the App Store

A  sample playlist
Our current contribution to the formalization of music genres.
MUSI-CO’s ever-growing musical manifesto on the role and potential of AI as assistive music companion. 

With the musician, towards new music forms.
Keep listening.

TEAM

A multi-disciplinary team of professionals committed to exploring the technology and social potential of AI for generative and responsive music making.

LORENZO BRUSCI

CEO

Simone Conforti

CTO

Tijn Borghuis

CRO

Marco Bertola

RnD

Marco Liuni

RnD

Francesco Tordini

COO

 

Strategic Advisors

PAOLO FRASCONI
Professor of Computer Science at Florence University.
Expert in the area of machine learning, with particular emphasis on algorithms for structured and relational data, learning with logical representations and applications to bioinformatics.

JAN SMITS
Full Professor and Chair of Law and Technology, Eindhoven University of Technology (TU/e).
Licensing and IP, legal advisor.

Operative Partners

ALESSANDRO TIBO
PhD candidate in Smart Computing at Florence University.
Expert in machine learning and program developer of application for iOS and Android, Java and Swift developer.

JANOSCH LENZI
Strategy and Planning expert, with a background in theoretical physics.
Innovation designer, entrepreneur, and PM with over 10 years of experience in creating and selling Web, Cloud and Mobile projects and products. CEO of JotUrl.com, constantly exploring the new frontiers of digital marketing. Co-Founder of MEEDJ, a popular Windows Mobile App.

WOJTEK FRIEDIGER
LL.M. – Sales manager.
Specialist in building sales structures and nurturing clients relations. Experienced with drive business growth through insights on new product and service. Familiar with contract and corporate law matters.