CVault

CVault is a platform designed to support evidence-backed hiring by transforming resume data into source-linked, reviewable intelligence for hiring teams. It addresses the challenge of making hiring decisions based on unstructured resume piles by parsing permitted candidate files and linking each claim to its original source context. This approach enables teams to audit shortlist decisions and keep a transparent record of reviewer actions throughout the hiring process.

The tool guides users through a workflow that begins with uploading resumes for candidates associated with a live role. CVault parses these files, normalizing candidate fields while maintaining visibility into the confidence and source of each fact. It provides scoring capabilities that help teams compare candidates against role requirements, highlight gaps, and attach reviewer notes, all without obscuring the underlying evidence. Every role-critical claim can be traced back to the specific resume text, parser state, and review context, ensuring that evidence remains central to the decision-making process.

CVault features a candidate workspace where parsed fields, role fit assessments, candidate history, and reviewer actions are consolidated in a single operational view. Its review-first ranking system is designed to prioritize human evaluation, rather than relying solely on automated scoring. The platform supports exporting data to formats such as PDF and DOCX and offers ATS export capabilities. Teams can start with a reviewed pilot involving a limited set of resumes and clear evidence outputs before considering broader adoption.

This tool is positioned for review-focused hiring teams seeking auditable, source-linked candidate intelligence. It is organized around the needs of recruitment agencies, enterprise talent acquisition teams, and those integrating with ATS platforms.