Customer fit

Built for teams that need candidate proof, not another black box.

CVault is a fit for teams that already handle candidate data and want clearer evidence, review state, and shortlist context.

Which teams should use CVault, and what proof should they expect first?

Customer fit

Good fit

teams with permitted candidate data and review bottlenecks

Bad fit

buyers looking for automated hiring decisions or fake certainty

Proof path

one role, bounded CV set, reviewer feedback

Where CVault fits first

Rediscover old candidate inventory and prepare client-ready shortlists with evidence attached.

Standardize high-volume review with role criteria, reviewer state, and auditable context.

Add parser, evidence, and workflow payloads while keeping the customer system of record intact.

Decision areaCVaultGeneric parsing

Best first proofOne scoped role and a bounded candidate set.Broad platform migration.

Buyer questionCan reviewers trust the evidence?Can AI claim a ranking?

Expansion pathAfter workflow quality and data handling are proven.Before operational fit is clear.

Reviewed rollout

The first CVault conversation should make scope, data handling, and review outcomes concrete.