Data types
What makes survey and research data valuable for AI?
By SourceX Editorial · Updated
Short answer
Survey and research data are valuable to AI companies because it captures real opinions and reasoning with context. They are used to build research assistants, sentiment analysis and evaluation. Value rises with volume, years of history, consistency and clear rights.
What's inside#
Typically survey responses, interview notes and studies.
What AI companies build with them#
Common uses include research assistants, sentiment analysis and evaluation.
What affects value#
Linked records (a request connected to its outcome), long consistent histories, unusual domains and clean rights all help. There is no price list. Value depends on buyer demand, volume, years of history, how unusual the records are and how clear your rights are, and it is only known once a buyer engages.
How licensing works#
SourceX starts with a short fit check that shares no data. If it fits, rights are reviewed, a copy is prepared with personal and confidential details removed, and your company approves exactly what leaves before anything is delivered under a signed license.
Frequently asked questions
Do survey and research data have to be perfect?
No. Preparation fixes a lot, but complete and consistent records are worth more.
Related resources
- SolutionWhat is AI evaluation data?
- SolutionHow AI developers source data
- IndustryBPO & contact centers data
- IndustryRecruiting & staffing data
- DataInternal knowledge bases
- QuestionShould companies sell or license their data?
- QuestionCan CRM data be licensed?
- InsightCan you license spreadsheets and financial models to AI companies?
- InsightCan you license training materials and course content to AI companies?
- InsightCan I limit licensing to evaluation only?
- DataWorkflow data
- GlossaryDataset
See if your company qualifies
A short company assessment. No data uploads are needed.