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Bulk CV parsing with AI candidate scoring that feeds an existing ATS
JobXRecruiter ingests large batches of CVs, pulls structured candidate data out of them and scores each applicant against the job, then hands the shortlist back through a dashboard or into the ATS a company already runs. The site advertises 1,500 CVs processed in minutes at 94% parsing accuracy and quotes a rate of about $0.49 per CV in its page metadata. Plans start at $99 a month for 100 parses and five open roles; $299 raises that to 500 parses, unlimited roles and API access, and an Enterprise tier adds custom models, SLAs and an on-premise option. Nobody is named behind it: no legal entity, address or founder appears anywhere on the site, only a contact address and a LinkedIn page.
Starter $99/month covers 100 CV parses and 5 active jobs. Professional $299/month covers 500 parses, unlimited jobs and API access. Enterprise is quote-only. Annual billing takes 20% off and there is a 14-day trial with no card. The $0.49-per-CV figure in the page metadata does not match either plan's parse allowance.
Use tool ↗A screening layer that sits in front of whatever ATS you already have and turns a pile of CVs into scored candidates, priced per parse rather than per seat. What you cannot check is who is running it: there is no company name, no address and no named team, which is awkward for a product you would be feeding other people's personal data into.
Watch out: You would be uploading candidate CVs — personal data with GDPR and equivalent obligations attached — to a vendor that publishes no legal entity or processing location.
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