What licensing questions should a buyer raise before starting a pilot?
Licence terms are agreed per engagement, so a buyer should raise permitted uses, derived models, sharing, retention and publication early, and treat privacy and compliance review as separate work.
**How is the material licensed?** Licence terms are agreed per engagement. Raise the questions that matter to you early, so they shape the scope.
**What should I ask about the licence?**
- Permitted uses: training, fine-tuning, evaluation, internal research, or some mix. - Whether the licence covers models trained on the material and their outputs. - Whether the data may be shared with contractors, or published in part, such as in a benchmark. - How long you may keep it, and what happens at the end of a term. - Whether updates and regenerated versions are included.
**Is the data real?** No. It is generated, synthetic material informed by direct observation of how businesses operate. It does not contain real business records.
**Does generated data remove privacy or compliance obligations?** No. A licence does not make your own privacy, legal or regulatory review unnecessary. Generated output can still resemble real patterns, so inspect grounding and disclosure risk on a sample and decide what your own policies require.
**Can I publish results that use it?** That depends on the terms agreed. If you plan to publish a benchmark or a paper, say so at the start.
**Are prices or turnaround times stated here?** None are stated in this content. They are set in discussion for your scope.
**What is a sensible first step?** Ask whether a small sample can be provided for evaluation under agreed terms, run your checks on it, then decide on the next scope.
Raising use, sharing and publication questions at the start keeps licence terms aligned with the scope you actually need.
- Audience:
- Model labs
- Content type:
- FAQ
- Buyer question:
- Scope and getting started
Content release: r-a220eb6e099b243b
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