Custom Spatial AI Models

A spatial AI that knows your sound.

GravityLLM is our spatial reasoning model, presented at AES Show 2025. We tune it to your genre, your studio’s style or your brand sound, so every immersive mix it makes feels like yours.

Engagement
Custom project
Base model
GravityLLM
Delivery
Private cloud or on-premises
Pricing
Scoped with our team

General AI does not know your signature

A general model makes general choices. Studios, labels and brands with a distinct sound need an AI that has learned their taste, while keeping their data private.

  • Generic spatial choices
  • Concerns about sharing private data
  • No control over how the model behaves
  • Hard to measure if the AI is improving

Built for

  • Studios with a signature sound
  • Labels and genre specialists
  • Platforms and app makers
  • Brands and agencies

The results you can expect

Your sound, automatically

The model learns the spatial choices your team would make.

Private by design

Your data and your model stay yours, in your cloud or on your servers.

Measurable quality

We track improvement with our Intent Fidelity Score.

Ready for your tools

Use it through our API, AI assistants or AI agents.

What's included

Model work

  • Data review and preparation
  • Model tuning on GravityLLM
  • Quality evaluation
  • Ongoing improvement options

Deployment

  • Private cloud or on-premises setup
  • API access
  • Assistant and agent connections
  • Usage and quality dashboard

How it works

  1. Define: We agree on the sound and results you want.
  2. Prepare: We review and prepare your reference material.
  3. Tune: We train and evaluate your model.
  4. Deploy: We set it up where you need it and keep improving it.

Deliverables

  • Your custom spatial model
  • Evaluation report
  • Deployment in your environment
  • Integration guide

Frequently asked questions

Who owns the training data?

You do. Your data is used only for your model and is never shared.

Can it run on our own servers?

Yes. We can deploy in your private cloud or on-premises.

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