THE PREMISE
Music has geometry. We construct within it.
Pythagoras described music as ratios and Kepler connected it to planetary motion. Composers operate within a consistent space defined by the relationships among notes, harmonies, rhythms, and arrangements. These elements decide whether music is coherent, resolved, or unsettled.
SHE works inside this space by directly using these relationships. It does not depend on listening to existing music.
ORIGIN
Where It Started
The Structured Harmony Engine (SHE) emerged from an interest in music theory, experimental composition, and procedural art. The founders dedicated twenty years to building metadata systems, machine learning platforms, and recommendation infrastructure for music and video streaming services. This background revealed three distinct industry pressures.
The catalog flooded
Generative AI music is growing in volume. This lowers trust in provenance and makes tracing data quality from the output harder.
The box went black
Closed models hide how decisions are made. This stops users from managing those decisions precisely.
Artists never signed up
Musicians made their work to be heard by people, not processed by machines. SHE does not need artist catalogs to operate.
Our team wanted to see whether a system could understand music sufficiently to compose and mix it without using recordings from other artists.
Our research indicated that the industry needs musical structure with a known origin and no ceiling. This offers a foundation for technical and cultural needs while respecting artists' rights.
SHE was not trained on third-party audio and does not use generative AI or large language models. We own the engine and control its mechanics.
THE TEAM
The People Behind It
The team is using their experience with music, audio engineering, and taxonomy design to build a data-driven, rule-based system for music. What started as an experiment has become a stable platform for music creation, education, and research.
Taylor Kirch
Co-Founder & CEO
- Netflix
- Pandora/SiriusXM
- MS Information Science, UIUC
Taylor Kirch is a product leader and contemporary artist. As SHE's lead product designer and music technologist, she drove the engine from concept to production, designing its architecture and building the taxonomies of genre, instrument, mood, and rhythm.
She brings over a decade of experience at the intersection of music, metadata, and machine intelligence.
She's a classically trained singer, with years of experience in chamber, choir, a cappella, and opera music.
Tre Tomaszewski
Co-Founder & CTO
- PhD research, UIUC
- Bioinformatics
- Audio engineering
Tre Tomaszewski is a researcher and multidisciplinary technologist whose PhD research sits at the crossroads of cognitive psychology and AI: information networks, AI-assisted cognition, agent social interaction, and machine cognitive psychology.
Earlier, as a bioinformatics graduate student, he published research on genetic mutation detection in COVID-19 that seeded further work on the same data infrastructure.
Outside academia, he has worked across music and gaming as a designer and programmer. He has experience in original music composition and audio engineering.
Music has geometry. We construct within it.