Founded in 2020 to make machine learning technology expressive and useful for musicians.
Recent advancements in machine learning are out of reach to most people—obscured behind confusing jargon, a command line interface and specialized hardware. As programmers and musicians, we knew if we were able to put these capabilities into musicians' hands, they would make something new and incredible with it.
We started developing our first experiments in timbre-transfer and rhythm-generation in 2019. Those first experiments were compelling and exciting, and we felt like we were only getting started.
Since then, we've iterated and expanded, incorporating new capabilities as they emerge while simultaneously developing our own algorithms to solve challenges unique to music creation. Working closely with some incredible musicians and technologists, we are building a modern, collaborative tool for music production.
Yotam Mann
Yotam Mann started learning piano from his grandmother at age seven. 14 years later at UC Berkeley he took a class in Max/MSP where he first heard the music-making potential of making software. He majored in Music and Computer Science and has followed that thread ever since. Yotam is the author of Tone.js, a library for making interactive music in the browser and created some of the world’s-first neural net music plugins for Ableton Live.
Chris Deaner
Chris has been a programmer and musician his entire life. In his long career, he’s moved from playing in bars around Austin and hacking together band websites, to performing in front of arenas with Kelly Clarkson and leading a team of 30+ engineers as CTO of Dots, a massively popular mobile gaming studio.
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