Technology
The hard problem in AI audio is not generating sound - it is generating sound you can still edit. Everything we build starts from that constraint.
Top-down generators create a finished mix and try to split it apart afterwards. We train a separate model per sound family - the drums model learns only drums - so every element is born clean, as its own layer.
Drumsits own model
Bassits own model
Synthits own model
Keysits own model
FXits own modelone sound, eleven dimensions
The product of 2.5 years of research: every sound is reconstructed from 11 fundamental parameters. That representation is what makes real editing possible after generation - not just re-prompting and hoping.
Generation is MIDI-first and bottom-up. The notes, the stems, and the structure survive the process - so what you get is not a rendering of an idea, it is the idea, still open for you to change.
notes and stems survive generation
the export runs the same chain
Every sound you hear passes a mastering-grade render pipeline - normalization, resonance correction, dynamic EQ, limiting - and the export runs the same chain, so what you download matches what you auditioned.
Our models are trained on licensed and public-domain sound libraries - built for creators, cleared for creating.
The engine is built to be called - text to sound over API and MCP, so creator suites, video and game tools, and AI agents can generate editable audio inside their own workflows. We are not a plugin; we plug into the most-used AI interfaces in the world.
For platforms & developers
We are building toward text-to-sound over API and MCP - generative audio models that creator suites, video and game tools, and AI agents can call directly. If that is a future you are building too, we want to talk.
Talk to us
