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Sonauto

4+ employeesSeed raised
Create hit songs with AI

Create hit songs with AI

YC W24

About the Company

At Sonauto we're building a platform for creating, sharing, and listening to music made by people with the help of our in-house generative music model Melodia. With Sonauto, people who have never made music before can have fun and express themselves in a completely new way.

We're working on the most fun application of the most bleeding edge research, what more is there to say?

Tech Stack

Languages: Python (PyTorch), JavaScript (TypeScript)

We're training state of the art generative models in a completely new modality where the standard of quality is significantly higher than those that came before (hands with three fingers is fine in images, but miss a beat in a song and it's ruined). Accordingly, we are consistently implementing and inventing new generative architectures and improving current ones.

Right now we're doing distributed training at the scale of hundreds of H100s on diffusion models, GANs, language models, and more written in PyTorch.

However, we're not a pure research lab, our models go right into production and are generating tens of thousands of songs within days of (and frequently even before) finishing training. Our most important goal is the product itself, so extensive experience in JavaScript (our frontend is React/NextJS) and backend development are also important to us.

Founders

Hayden Housen
Hayden Housen

Currently, building a platform to share AI generated music and researching AI song generation. Previously, a software engineering intern at Vocode (YC W23) and an intern on the Machine Learning Team at Ada.

Ryan Tremblay
Ryan Tremblay

Studied Computer Science (focus: ML) and History (focus: authoritarian regimes) at Cornell. Previously, I worked on core engineering teams at early and growth stage AI and creator economy startups. My goal is to help people be more creative by making GPUs go brrr.

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