Human Creativity Augmentation
We custom-design MIDI datasets. We hire composers and media designers. We build computational strategies that help humans discover what they didn't know they could create.
"We are not building a music generator.
We are building a digital luthier—
a maker of fine tools for fine artists."
MUSI-CO Founding Philosophy · Custom Datasets · Human-Centered · Compositional Intelligence
We design computational strategies for human creativity—not to replace artistic judgment, but to expand the boundary of what humans can discover about their own work.
When a jazz musician encounters a harmonic pattern they never generated from their own preferences. When a folk ensemble discovers variations on patterns they thought they'd exhausted. When a student composer learns that the algorithm recognized something in their voice they didn't know was there.
That's what we build for. Not efficiency. Novelty. Radical experimentation. The readiness to be surprised by what you're capable of.
We hire real composers and media designers to build datasets from human choice, not internet scraping. Every note comes from intentional artistic decision. No shortcuts.
The algorithm doesn't decide. You do. It suggests. It reveals patterns. It expands the search space. You choose what matters. Together: novelty neither could make alone.
Local processing. Your data stays yours. No cloud harvesting. No black-box training. No opaque outputs. You own what you create.
Standard generative systems optimize for statistical likelihood. They learn surface patterns from massive, unlicensed datasets. MUSI-CO inverts this entirely.
Our engine was designed by people who understand both music theory and machine learning. It reasons about compositional structure, not probabilistic buckets. It understands that you resolve a seventh upward instead of down for a reason—and learns that reason as a category of meaning, not as a random pattern.
01 — MIDI Fidelity
We generate high-fidelity MIDI, not flat audio. Total control: swap instruments, tweak velocities, rearrange notes, reprocess, iterate. Direct DAW integration with the nuance of human performance.
02 — Compositional Logic
The algorithm learns your decision-making at the level of harmonic preference, melodic contour, rhythmic fingerprint. Not statistical buckets. Categories of meaning.
03 — Ethical Training Data
Small Data, Deep Intelligence. We hire composers to build intentional datasets. Every piece in our training corpus was a deliberate choice by a skilled artist. No scraping. No shortcuts.
Proprietary Methodology04 — Local-First Architecture
Process complex generative tasks without an internet connection. Full capability, offline, on the hardware of your choice. Your creativity, your data, your machine.
Mobile tools and systems built on our generative engine. Each one is both a product and a showcase of MIDI-generation technology—available in beta as we gather feedback from real musicians and creators.
Wellness · iOS
Personalised orchestral soundscapes for mindfulness, focus, and restoration. Adaptive music that responds to your mental state—neuroscience meets composition.
Fitness · iOS
Create the ultimate workout soundtrack with an app that generates music in real-time sync with your body's movement. Bespoke beats for bespoke performance.
Performance · iOS
Control MUSI-CO's generative engine with intuitive gestures for live performances that are never twice the same. Real-time, expressive, endlessly fresh.
Bare-bones UI preliminary release. Free to use. No implied license granted upon download. Available via the MusiCo website.
Bare-bones UI preliminary release. Free to use. No implied license granted upon download. Request access via the MusiCo website.
A suite of purpose-built systems for composers, media creators, game developers, and wellbeing practitioners who want to expand what they can create.
Core Platform
The flagship engine. Feed it video, image, or emotional metadata — receive perfectly structured MIDI that reflects your content's narrative logic.
Open Demo Portal →Generation
Generative loop construction powered by intentional MIDI models. Evolving, non-repetitive loops ideal for ambient scoring, game audio, installation work.
Open GenLooper →Performance
Real-time AI music generation for live performance. Low-latency local processing — no internet dependency, no stage failures. Responsive musical accompaniment.
Open LiveAI →Listening & Curation
A framework for understanding what your music does. Analysis, pattern recognition, compositional insight—turning generation into learning.
Open Listen →Research · Measurement
Human-AI Creative Understanding: our research framework for measuring musical novelty — how far a human–machine co-composition departs from what either could have produced alone, and how that distance can be evaluated with rigour rather than taste.
Open HAICU →Archive · Audio
Historical generative compositions, early experiments, and demo recordings from MUSI-CO's development journey—available freely on SoundCloud.
Listen on SoundCloud →MUSI-CO participates in a broader ecosystem of technology, law, and open-source intelligence. Our partnerships reflect our commitment to ethical AI, legal compliance, and collaborative innovation.
Ethics · Law · AI Act · GDPR
Our strategic partner for Ethical AI governance, AI Act compliance, and GDPR alignment. AssistiveLawTech provides the legal intelligence that ensures every MUSI-CO system is designed to perform *and* to comply—transparently, rigorously, by design.
Visit assistivelawtech.com →Open Source · LLM · SLM · Integration
MUSI-CO actively participates in the Super AI Studio open-source community—contributing to and integrating state-of-the-art LLM and SLM architectures into our music generation pipeline. This keeps us at the frontier of local, open, and efficient AI.
Visit superaistudio.com →Academic Research Collaborations
Machine Learning · Generative MIDI · UNIFI · Ongoing
An ongoing research collaboration spanning nearly a decade of generative MIDI development. From early rhythm models (2017) through VAE/GAN interpolation (2018) and CONLON at ISMIR (2020), to forthcoming diffusion-based approaches (April 2026).
2017 — Origin
EDM Drum Pattern Generation
Early explorations of generative models for EDM drum patterns.
Workshop Paper →2018 — Formalisation
VAE/GAN Genre Interpolation
VAE/GAN-based generation with smooth genre transitions.
arXiv Paper →2020 — ISMIR
CONLON
Lossless format, Wasserstein autoencoders, latent-space trajectory generation.
CONLON Paper →April 2026 — Forthcoming Publication
From Latent Trajectories to Diffusion: The Next Generation
The forthcoming paper replaces autoencoder latent-space interpolation with diffusion models. This shift offers richer modelling of the full MIDI distribution, better handling of polyphonic multi-instrument structure, and more controllable conditioning across style, genre, and harmonic context.
Urban Mobility · Assistive Tech · Multimedia · Montreal Polytechnic · Ongoing
An ongoing interdisciplinary collaboration applying MUSI-CO's core technology building blocks beyond music—into advanced simulation strategies for assistive urban mobility. Developing adaptive multimedia storytelling systems for accessible navigation and wayfinding experiences in complex urban environments.
In an era of data harvesting, MUSI-CO stands for the Local AI movement. Your creative work belongs to you — not to a server farm, not to a training corpus, and not to a cloud provider's terms of service.
On-Premise Power
Process complex generative tasks entirely without an internet connection. Full capability, offline, on your hardware of choice.
Data Sovereignty
Your compositions and media assets never touch our servers. What you create is yours—completely, legally, permanently.
AI Act & GDPR Aligned
In collaboration with AssistiveLawTech, MUSI-CO's architecture is designed for full compliance with the EU AI Act and GDPR—privacy and ethics baked in from day one.
Ethical Training Data
Our models were never trained on your work without consent. Every dataset is licensed, human-composed, and fully documented. Transparency is a foundation, not a feature.
MUSI-CO was founded on the belief that AI should be a digital luthier—a maker of fine tools for fine artists. We reject the "one-click" commodification of music. Instead, we provide a sophisticated framework where human composition and algorithmic precision coexist as equals.
"We custom-hire composers and media designers to build datasets. We embed ethical choice into every layer of code. We believe creativity expands when humans and algorithms collaborate as partners, not when one dominates the other."
Our team unites composers, music theorists, engineers, and strategists under one roof—a rare combination that produces tools no pure-technology company could build. Every model we ship has been listened to, critiqued, and refined by people who have spent decades studying what makes music move people.
We are not anti-AI. We are pro-craft. The distinction matters enormously.
A rare convergence of composers, engineers, educators, and strategists united by a single conviction: that AI music should be made by people who love music—and who understand that creativity expands when humans and machines collaborate as equals.
Founder & CEO
Lorenzo Brusci
CTO
Stefano Imperiale
Chief Scientist
Alessandro Tibo
CFO & Legal Affairs
Ferdinando Manenti
Technology Integration & AI Usability
Nimrod Adar
MusicFit Division Manager
Wojtek Friediger
MIDI Music Dataset Designer & Music Specialist
Francesco Capanni
MetaClassical Music Specialist
Stefan Roslmair
Media Researcher
Myroslav Trofymuk
Chief Educational Advisor & Co-founder
Simone Conforti
Educational Advisor & Co-founder
Valentijn Borghuis
Urban Design & Media Architecture
Danilo Capasso
COO
Andrea Marinelli
Enquiries
info@musi-co.comJournalists, partners, and collaborators can access our full media repository — audio samples, visual assets, technical documentation, and press releases. For interviews and partnership enquiries, use the contact details below.
Demo Portal
All In 2 Music
Full interactive demo suite for all MUSI-CO platforms and services
Audio Archive
SoundCloud
Historical generative compositions, demos, and early MUSI-CO recordings
Editorial
Blog
Technical writing, industry commentary, and research updates
Contact
General Enquiries
Interviews, partnerships, speaking engagements, and collaborations
The original LiveAI system — our first public demonstration of real-time generative music in a live performance context. This archive documents the journey from proof-of-concept to production platform.
LiveAI v1 — Proof of Concept
First public demonstration of real-time MIDI generation in live performance
LiveAI v2 — Ensemble Mode
Multi-instrument real-time generation, sub-50ms latency on local hardware
LiveAI — Cross-Ontology Integration
First deployment of patented Media2Music pipeline in live context
LiveAI — Production Platform
Merged into the MUSI-CO Services suite; standalone system evolved
Preliminary release • Free to use
VST Plugin • Mac
Preliminary release • Free to use
VST Plugin • Mac
