Frame the use case before discussing a data license
Harvest Intelligence editorial
A clear use case helps a data owner and licensing intermediary assess relevance, preparation needs, and permitted uses. Start with the intended application before discussing price.
Describe the intended use
Training, evaluation, retrieval, and product integration can require different data and commercial terms. Define the intended use plainly before discussing a dataset or a fee. Avoid treating every AI application as the same buying requirement.
Bound the proposed asset
Describe the coverage, historical period, update frequency, format, and delivery scope. Establish which parts of a dataset are excluded and whether preparation is necessary before a buyer can evaluate it.
Make constraints visible early
Outline proposed limits on access, reuse, redistribution, and downstream applications. The definitive terms require professional review, but early clarity helps both parties assess whether a conversation is worth pursuing.
Separate the roles
The data owner supplies the asset and approves its permitted use. An adviser can help identify and improve the asset and represent the owner with an intermediary. The intermediary handles licensing to downstream customers. Clarify evaluation access, onward sharing, and each party’s responsibilities before providing data.
Treat demand as a question
A plausible use case is a starting hypothesis. Buyer discovery should test whether the data addresses a real need, whether alternatives exist, and whether the cost of integration is justified. Those answers should shape the proposed transaction.
