Purpose
The policy lists parsing, matching, transformation and anonymization of submitted CV and job data.
For recruitment, technical and privacy teams
Understand the published candidate-data terms and the product information available for reviewing a match. Use this page with the privacy policy and API documentation during procurement.
The published privacy policy describes how personal data is handled. Confirm the controller and processor roles and responsibilities for your specific use case with the responsible privacy contact before onboarding CV data.
The policy lists parsing, matching, transformation and anonymization of submitted CV and job data.
Confirm the approved retention period for source CVs and parsed data, how deletion requests are handled, and how long backups persist before relying on these controls.
Request the current hosting regions, subprocessor list and applicable data-processing agreements before transmitting candidate data.
The documented matching response separates total, skills, experience, education, language, distance, profile, semantic and career trajectory scores. It can also include evidence and an algorithm version. Those fields help a recruiter inspect a result and decide what to verify.
The recruiter chooses relevant job requirements and makes the hiring decision. Do not treat a matching score as an automatic rejection or a guarantee of suitability. We do not publish a blanket claim that personal attributes never affect a score without a verified scoring specification.
See the matching workflowThese are product and documentation details, not a certification or a blanket statement of EU AI Act compliance. Your team should assess the obligations that apply to its deployment.