AI model organization & deployment
Every model in its place, and every place knows which model it runs.
ModelBox is a concept for treating AI models like any other dependency: catalogued, versioned, swappable and deployed behind a stable interface.
Concept stage — not a live product yet
Where it could help
Model catalog
One place that records which models a team uses, for what, and with which settings.
Provider switching
A thin integration layer so a product can change model or provider without a rewrite.
Staged rollouts
Try a new model version on a small share of traffic and compare before switching.
Cost and usage visibility
See which features drive model usage, to plan budgets with real numbers.
The idea
Teams adopt models faster than they document them. ModelBox explores the boring, valuable layer underneath: knowing what runs where and being able to change it safely. It is a concept in exploration, not an available platform.
Interested in this project?
We're open to conversations about building it together, commissioning development under this name, or acquiring or licensing the domain. Write to us and tell us what you have in mind.
- Collaboration
- Development
- Acquisition or licensing
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