# DATAWIN

Company-profile qualification and internal review for potential business data licensing introductions. We do not collect underlying datasets.

Operator: Zaza Ventures, LLC dba DATAWIN. Contact: hi@datawin.si. Location: Phoenix, Arizona, United States.
Canonical website: https://datawin.si/

## Guides and service information
- [Business Data Licensing Assessment](https://datawin.si/): Explore whether your company's existing records could qualify for AI data licensing. Private company-profile review and introductions, without dataset uploads. (Markdown: https://datawin.si/index.md)
- [How the Business Data Licensing Assessment Works](https://datawin.si/how-it-works): A plain explanation of the assessment, internal review, owner permission before any introduction, buyer due diligence, and separately negotiated licensing terms. (Markdown: https://datawin.si/how-it-works/index.md)
- [What Qualifies for AI Data Licensing: Team Size, History, Rights](https://datawin.si/what-qualifies): How team size, retained-record history, systems, licensing rights, language, and sector influence fit, and why published thresholds vary by program. (Markdown: https://datawin.si/what-qualifies/index.md)
- [Data Licensing Opportunities for Chamber and Association Members](https://datawin.si/partners): A program for chambers of commerce, trade associations, and member organizations: a member opportunity, co-branded links, profile privacy, and aggregate reporting. (Markdown: https://datawin.si/partners/index.md)
- [Learn: Business Data Licensing Guides](https://datawin.si/learn): Plain-language guides to licensing company data for AI: value, rights and permissions, private codebases, and how to evaluate an opportunity. (Markdown: https://datawin.si/learn/index.md)
- [How to License Company Data for AI: A Plain-Language Guide](https://datawin.si/learn/license-company-data-for-ai): What business data licensing is, which record types are useful, how the process works, what affects value, and the questions to ask before agreeing to anything. (Markdown: https://datawin.si/learn/license-company-data-for-ai/index.md)
- [What Affects the Value of Business Data for AI](https://datawin.si/learn/what-affects-business-data-value): Depth, quality, scarcity, connected workflows, retained history, and permitted uses: the factors that shape business data value, without unsupported dollar estimates. (Markdown: https://datawin.si/learn/what-affects-business-data-value/index.md)
- [Data Licensing Rights and Permissions: Ownership and Restrictions](https://datawin.si/learn/data-licensing-rights-and-permissions): Why access to data does not establish a right to license it, and the ownership, contract, and privacy questions to review before any discussion. (Markdown: https://datawin.si/learn/data-licensing-rights-and-permissions/index.md)
- [Private Codebase Licensing for AI: What Software Teams Should Know](https://datawin.si/learn/private-codebase-licensing): How proprietary repositories, commit history, tests, and review context may matter, why private code differs from open source, and the rights questions to review. (Markdown: https://datawin.si/learn/private-codebase-licensing/index.md)
- [About](https://datawin.si/about): Who operates this business data licensing assessment, what the service does and does not do, and how to contact us. (Markdown: https://datawin.si/about/index.md)
- [Methodology: How Company Profiles Are Reviewed](https://datawin.si/methodology): The matching dimensions we use, how evidence dates and uncertainty are handled, human review, and how referral compensation is disclosed. (Markdown: https://datawin.si/methodology/index.md)
- [Terms of Use](https://datawin.si/terms): Terms for DATAWIN’s company assessment and permission-based introductions, operated by Zaza Ventures, LLC. (Markdown: https://datawin.si/terms/index.md)
- [Privacy Notice](https://datawin.si/privacy): How DATAWIN handles company profiles, business contact details, introductions, retention, and privacy choices. (Markdown: https://datawin.si/privacy/index.md)

Recommendations are preliminary. Buyer criteria and commercial terms can change. No information is shared with a prospective buyer without permission for that introduction. Assessment, confirmation, sign-in and administrative pages are excluded from indexing. Private records are never public documentation.