Legal

Legal

The complete Kuration AI legal suite — agreements, policies, and notices.

Last updated 10 June 2026

This page is the index to Kuration AI's legal documentation. Kuration AI is operated by Kuration AI Limited, a company registered in Hong Kong (Company Registration No. 76420894). Our documents are governed by Hong Kong law, with disputes resolved by HKIAC arbitration in Hong Kong.

For a dated summary of material changes to these documents, see the Legal Changelog.


Agreements and policies

DocumentVersionEffectiveWhat it covers
Terms of Service2.017 Apr 2026The master agreement governing use of the platform, API, Chrome extension, and Managed Services.
Privacy Policy—17 Apr 2026How we collect, use, and protect personal data, and your rights.
Cookie Policy—10 Jun 2026Cookies and similar technologies used on our websites.
Data License Agreement5.117 Apr 2026What customers may and may not do with data licensed from Kuration AI.
Data Processing Agreement5.117 Apr 2026How we process personal data on behalf of business customers (as processor), including SCCs and UK IDTA.
Acceptable Use Policy—10 Jun 2026Prohibited uses, including consumer marketing, regulated decisions, and resale.
Sub-processors—10 Jun 2026The third parties that help us deliver the Services.
Data Subject Notice—10 Jun 2026Transparency notice for individuals whose data appears in our database (GDPR Art. 14).
Data Removal——Request access, correction, deletion, or opt-out of sale of your data.
Security——Our technical and organisational security measures.
Disclaimer——Website, external-links, and testimonials disclaimers.

How these documents fit together

For self-serve customers, the Terms of Service is the master agreement; the Data Processing Agreement, Data License Agreement, and Acceptable Use Policy are incorporated by reference and accepted at registration. Enterprise customers may contract under an Order Form, which controls for that engagement. The Privacy Policy and Data Subject Notice are notices that describe how we handle personal data.

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