Use case

Rediscover candidates from old CVs for one live role.

CVault is not a generic AI recruiting suite. The public buyer loop is one vacancy, a bounded set of permitted past-candidate CVs, and a shortlist that shows why each candidate surfaced.

Step 1

Choose one live role

Start with a vacancy that matters now, not a platform migration project.

Step 2

Send a bounded CV set

Use up to 100 past-candidate CVs your team is allowed to process for this sample.

Step 3

Review the shortlist

CVault returns ranked candidates with CV evidence, visible gaps, and follow-up questions.

Good first use

  • Recruitment agencies with old ATS exports, folders, inbox attachments, or CRM records.
  • Recruiters who want to know whether existing CV inventory is worth revisiting before sourcing from scratch.
  • Teams that need an evidence-backed shortlist they can discuss internally without raw full CV dumps.

Not the promise

  • Replacing your ATS.
  • Automating hiring decisions.
  • Promising every old CV is useful.
  • Claiming compliance certifications before a real data-handling scope is agreed.

The useful question is simple: are there candidates already sitting in your database?

Run the synthetic demo first. If the workflow makes sense, request the 48-hour sample and agree the data handoff before any real CVs are shared.