Enharmonic
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The data layer for controllable audio AI

Rights-cleared datasets and labeling infrastructure for teams building music, sound, and spatial audio models.

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Audio AI is only meaningful
when you can interact with it.

Dataset LibraryReady-to-license audio datasets for training and evaluation: stems, MIDI, chords, loops, foley, SFX, spatial scenes, preference labels, and more.Explore Datasets
Custom DatasetsTell us what your model needs to learn. We design, source, license, label, and package the dataset for you.Build with us
Labeling APITurn your existing audio library into model-ready data with labels for musical content, source type, instrumentation, chords, key, BPM, sections, spatial cues, and more.Request access

Built for teams shaping the future of audio.

AI LabsMusic AI TeamsDAW TeamsPlugin TeamsGame Audio TeamsSpatial Audio TeamsMusic Education StartupsAI LabsMusic AI TeamsDAW TeamsPlugin TeamsGame Audio TeamsSpatial Audio TeamsMusic Education StartupsAI LabsMusic AI TeamsDAW TeamsPlugin TeamsGame Audio TeamsSpatial Audio TeamsMusic Education StartupsAI LabsMusic AI TeamsDAW TeamsPlugin TeamsGame Audio TeamsSpatial Audio TeamsMusic Education Startups