# AI Data Licensing > Independent company-data licensing education and introductions for authorized US business owners exploring the value of existing operational records. The site helps owners describe their records, assess preparation and permissions, understand buyer requirements, and start a fit inquiry. It covers companies across industries, including manufacturing, automotive suppliers, technical services, software, retail and hospitality. Inquiries contain nonconfidential company and record metadata. Company records remain with their owners; this site does not accept dataset uploads or system credentials. Owners approve any introduction to a named buyer and arrange diligence, licensing agreements and data transfers directly. Public buyer-program descriptions do not establish a partnership or guarantee a payout. ## Start here - [AI Data Licensing](https://www.ai-datalicensing.com/): Overview of company-data licensing opportunities and the inquiry process. - [Check your data fit](https://www.ai-datalicensing.com/data-assessment/): The initial company, role and record-category assessment, with optional preparation details. - [Industries](https://www.ai-datalicensing.com/industries/): Industry and sub-industry examples to help owners identify potentially relevant operating records. ## Resources - [How to sell company data to AI developers](https://www.ai-datalicensing.com/sell-data-to-ai/): A practical resource for US company owners considering AI data licensing: what to prepare, who to approach and what to keep private. - [Manufacturing data licensing, from the owner’s side](https://www.ai-datalicensing.com/manufacturing-data-licensing/): Explore manufacturing data licensing with examples of quality, maintenance, tooling and work-order records, plus rights and confidentiality checks. - [What is data licensing?](https://www.ai-datalicensing.com/data-licensing/): What is data licensing for AI? Understand training, fine-tuning, RAG, data rights, exclusivity, pricing and the steps from company records to a paid license. - [Data monetization: choosing a path for your company](https://www.ai-datalicensing.com/data-monetization/): Compare internal data use, data products and external licensing. Understand the preparation work and tradeoffs before pursuing company-data revenue. - [Data readiness checklist](https://www.ai-datalicensing.com/data-readiness-checklist/): A practical self-assessment covering authority, rights, records, privacy, exportability and context. - [Who buys company data for AI?](https://www.ai-datalicensing.com/data-buyers/): Buyer roles, public acquisition programs, evaluation steps and questions to resolve before an introduction. ## Operator and policies - [About and operator](https://www.ai-datalicensing.com/about/): The site's independent role, editorial approach and public operator details. - [Contact](https://www.ai-datalicensing.com/contact/): Contact the operator or request access, correction or deletion of an inquiry through the native form. - [Privacy](https://www.ai-datalicensing.com/privacy/): What inquiry information is collected, why it is used and how manual deletion works. - [Referral disclosure](https://www.ai-datalicensing.com/referral-disclosure/): Potential compensation for a separately approved qualifying introduction. - [Site terms](https://www.ai-datalicensing.com/terms/): Terms for using the site's resources and inquiry service. ## Site index - [XML sitemap](https://www.ai-datalicensing.com/sitemap.xml): Canonical public page URLs and this llms.txt file.