Recruitment AI⚠ Potentially High Risk9/10

Harver

AI pre-employment assessment platform covering cognitive ability, situational judgement, personality, and role-fit scoring. Acquired Pymetrics psychometric AI capability. Fully automated candidate scoring for volume hiring.

⚠ EU AI Act Risk Classification

Indicative classification: Potentially High Risk

Legal reference: Annex III, Category 4 — automated pre-employment screening and assessment

Important: This is an indicative assessment based on typical deployment patterns. Your actual risk classification depends on your specific use case, configuration, and context. Register in Aeqora to get a precise classification using the EU AI Act decision tree.

Your obligations as a Deployer

→Full Article 26 deployer compliance required
→Candidate notification of AI psychometric assessment
→Human review before exclusion from process
→FRIA if used in public sector recruitment
→Audit log of assessment scores and outcomes

How this score was derived

Methodology →

Scores 9/10: Automated psychometric and cognitive screening that directly determines candidate progression is among the highest-burden Annex III Category 4 applications. No EU Declaration of Conformity published as of the index date. Score reflects fully autonomous scoring with direct employment decision impact and the absence of provider compliance documentation.

Provider EU AI Act documentation

Harver has not yet published dedicated EU AI Act compliance documentation. Contact them directly to request instructions of use and ask about their compliance roadmap.

What to do next

01

Register in Aeqora

Add Harver to your AI system inventory and run the classification wizard for your specific deployment.

02

Request vendor docs

Ask Harver for their EU AI Act instructions of use and technical documentation.

03

Generate compliance pack

Generate your Article 26 Deployer Compliance Evidence Pack once classification is complete.

Aeqora. "Harver — EU AI Act Risk Assessment." Aeqora Vendor AI Risk Index. Verified 2026-06-14. https://aeqora.eu/vendors/harver

Scores are methodology-derived and citable under CC BY. View methodology →

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