Buyer categories
| Category | Typical interest | First diligence question |
|---|---|---|
| Foundation-model developers | Broad or specialist training and evaluation data | Provenance and licence scope |
| Vertical AI companies | Deep domain labels (health, legal, industrial) | Expert qualification of labellers |
| Robotics developers | Trajectory and instruction data | Format and embodiment metadata |
| Data marketplaces and intermediaries | Resellable inventory | Right to sublicense |
| Research groups | Evaluation sets | Documentation and permitted use |
Common deal blockers
- Unclear ownership of labels made by contractors.
- Personal data without documented lawful basis (EUR-Lex).
- Upstream licences with non-commercial terms (Creative Commons).
- No documentation of collection methods (Gebru et al., arXiv:1803.09010).
Match the offer to the buyer’s task
A large corpus is not automatically a useful one. Describe the decision each label supports, the cases it covers and the conditions under which a buyer could test it. An evaluation-only offer needs a different access and exposure policy from a training licence. Keep the use case explicit before discussing delivery or commercial terms.
Have an annotated dataset or specialist expertise?
Tell us what you own, how the labels were reviewed and which rights you can license. A short overview of your dataset or annotation business is a useful place to start.
Email us about your dataset
Prepare for a licensing conversation Prefer to write directly? hello@callwavemedia.com