Trained on your material
Full mixes or separated stems — whatever best represents the direction you want.
TRAIN YOUR SOUND. GENERATE YOUR SONG.
AI music that learns your sound
Train a personalized AI music model using music you own, then generate and explore new ideas rooted in your creative identity.
UploadTrainGenerateExplore
Workflow
How ANYANO works
Four stages, each visible in the studio with its own state.
- 01
Upload
Add songs, demos, stems, vocals, instrumentals, MIDI and lyrics you own or have sufficient rights to use. ANYANO can analyse tempo and key and separate stems.
- 02
Train
Group material into a dataset, prepare it, and run training to produce a personal Sound — confirming your rights before the run starts.
- 03
Generate
Select your Sound, then shape a request with prompt, lyrics, mood, structure, tempo and how far the model may stray.
- 04
Explore
Branch a generation into variations, extend what works, and collect surviving ideas into a project.
Product concept
What is a Sound?
A Sound is your personal music model: trained from a dataset of your own material, versioned as your catalog grows, private to your account, and used as the starting point for everything you generate.
Versioned
Each training run creates a new version with its own stats, so you can compare and retrain.
Private and deletable
Scoped to your account, not shared or published, and removable when you want it gone.
Built around your music
Why personalized AI?
ANYANO doesn't replace the artist. It learns from the artist.
In a prompt-to-song product everyone queries the same weights, so personalization stops at the text box and output drifts toward the average of an enormous training set. When the model is trained on your catalog instead, its suggestions already sound like they could be yours — which is what makes them worth listening to at the sketching stage.
Your catalog encodes decisions you no longer think about: how you voice chords, where you place a snare, how long you let a section breathe. That is training data nobody else has.
Trust
Ownership and privacy
You are uploading material that matters, so we describe what is implemented instead of using slogans.
Your music stays yours
You confirm your rights before training, and uploaded material remains yours. Rights in generated output are set out in the Terms of Service.
Private by architecture
A private storage bucket, authenticated access, and row-level security policies scoped to your account — not just a robots directive.
No cross-account training
Your material trains your Sounds only. It is not pooled into a shared model or used for other customers.
Processing disclosed
Heavy analysis, training and generation run on connected specialist compute. We say so rather than claiming everything happens nowhere.
Who it is for
For artists and producers
Compare
How ANYANO differs from generic AI music generators
Most AI music generators start with a general model and a prompt. ANYANO starts with the artist.
Generic generator
- Prompt → shared foundation model → generated song.
- Your catalog plays no part in the output.
- Style references point at other people's music.
- Optimised for producing a song fast.
ANYANO
- Your catalog → your Sound → your generations → your direction.
- The model itself is personal, not just the prompt.
- The reference is your own material, with rights confirmed.
- Optimised for exploring around work you already made.
FAQ
Common questions
Related
Learn more
Personalized AI musicWhat the category means and how personalization actually works.How training worksWhat a Sound learns from your music — and what it does not.DirectionsTurning a first generation into a creative path.Artist-first AIThe principles the product is built on.Use casesNine workflows supported in the studio today.OwnershipRights before training and rights in output.
Your catalog isn't just your past.
It can become a creative model for what you make next.