Purpose
How Exterview handles personal data across the evaluation lifecycle, with consent, minimization, and your control over where data lives and how long it stays.Privacy principles
Consent
Candidates are informed, and consent is captured where required.
Data minimization
Only what’s needed for the evaluation is collected and processed.
Retention
Data isn’t kept indefinitely. Upcoming: governance settings for retention by
data type.
Deletion
A candidate’s records can be deleted on request, one at a time or in bulk.
Upcoming: governance retention settings that apply deletion by policy.
Residency
Regional hosting options support data-residency requirements.
Purpose limitation
Data is used for evaluation, not sold, and not pooled into a shared model.
Residency regions are set in your configuration. Upcoming: configurable
retention windows; see below. Exterview does not claim certification against
any data-protection regime; see Compliance FAQs.
Models and sub-processors
Exterview’s agents and Smaya run on a mix of frontier and open-source models, and specific platform capabilities are delivered through third-party sub-processors. Both lists have dedicated pages, kept current and dated: see Models We Use and Sub-processors. Your candidate and configuration data is never sold or used to train shared or third-party models.FAQs
How long is data kept?
How long is data kept?
It isn’t kept indefinitely. Upcoming: governance settings for a configurable
retention period by data type. Until then, ask your Customer Success contact
about how retention is handled for your organization.
Can a candidate's data be deleted?
Can a candidate's data be deleted?
Yes. A candidate’s records can be deleted on request, one at a time or in bulk. Upcoming: governance retention settings that apply deletion consistently across all data types.
Where is our data stored?
Where is our data stored?
In the region you select during setup, to support residency requirements.
Related
- Security. How access, encryption, and isolation are enforced.
- Responsible AI. How candidate data is scored, and never used for biometrics.

