About Us

Helping you learn piano through flow.

MuseFlow was created to bring movement back into learning piano: fresh music, smart feedback, and a curriculum built for flow. 

Traditional piano education trains your fingers to remember songs, not your mind to understand music.  At MuseFlow, we believe that learning should feel alive — evolving, fun, and guided.

That’s why we built a system with the same principles that drive great AI: interactive tutorials, constantly changing music, and real-time feedback, so that learning always fits you.

Our Vision Forward

We’re just getting started. Imagine a world where your personalized AI piano tutor meets you exactly where you’re at — with each session adjusting to your skill, momentum, and style. In the next phase of MuseFlow you’ll see:

Adaptive Curriculum

Learn faster than ever with levels that adjust tempo and complexity in real time

Exercise Section

Hone your technique, music theory comprehension, and aural skills with custom exercises

Expanded Curriculum

Move beyond the basics with more advanced lessons on chords, counterpoint, and new key signatures

Teacher Features

Send custom assignments to your students and keep track of their performance, all in one place

Available on All Platforms

Play on whatever device you have

Audio Recognition

Play on your acoustic piano, no cables needed

Meet The Founding Team

We’re musicians, educators, and technologists who got tired of static practice and stagnant progress. So we asked the question: What if practice felt as alive as performance?

Steven Gizzi, Chief Executive Officer

Composer & Music Educator with composing credits for clients such as LEGO, Cartoon Network, DreamWorks, and Facebook Watch.

Patrick Boylan, Chief Operating Officer

Multi-Instrumentalist & Producer with three artistic residencies in Los Angeles, specializing in musical theater and jazz piano.

Steven Staley, Chief Technology Officer

Infrastructure Engineer & Software Architect with AWS Solutions Architect and Security Specialist certifications, and six years experience building full stack applications on AWS.

Andrew Urbanowicz, VP of Engineering

Full Stack Developer with a background in mathematics, computational physics, and accelerator modeling; currently specializing in frontend and backend development for iOS and Android apps.

Tucker Dean, Chief Data Scientist

Data Scientist & Consultant with proven experience in helping companies bridge the gap between machine learning & operations.