The audio-AI company.
Scarleta is a company built around a single idea: an AI that listens. We build the tools that let people and software understand sound.
What we do.
Scarleta is an audio-AI platform where you store, analyze, process, build on, and collaborate on your sound. You keep your whole audio library in it, like Dropbox or Drive but for audio, then give it audio or video and it does something useful with the sound: separate a song into stems, remove or isolate an instrument, transcribe speech, detect chords, key and tempo, tag sounds, reduce noise, apply effects, and more.
It gives you back real files, structured analysis, or interactive charts and tables. You can compose those steps into reusable recipes, see results as in-chat visualizations, export deliverables like MIDI, stems, processed renders, and CSV or JSON, and share a workspace with a team.
There are two ways in: a conversational chat product for people who describe what they want in plain language, and a REST API for developers who want to run this at scale.
Why we exist.
So much of AI is racing to talk more, write more, and make more. We think the more valuable job is the opposite one: to listen well. Communication is about listening, not talking.
So we made a deliberate choice. We are not a sound-generation company, and we are not here to replace the people who create sound. We are here to give them, and the software they build, an ear that never tires: something that can hear what’s in a piece of audio and explain it back clearly, so the human stays in charge of the creative work.
AI has learned to see and to speak. We are teaching it to listen. That is the mission, and everything we build serves it.
We give AI an ear.
The full thinking behind why we chose to build an AI that listens, and where we intend to take it, lives in our vision.