Rankid is a SaaS platform that provides AI-powered resume ranking with semantic scoring and detailed reasoning. It is designed for hiring teams who need to screen and shortlist candidates efficiently without relying on opaque keyword matching. The platform offers two main workflows: bulk analysis for ranking multiple resumes against a single job description concurrently, and individual candidate analysis for deep, one-on-one fit assessment. Additionally, Rankid includes a document Q&A feature that allows users to upload files and ask plain-English questions to extract specific information from resumes, contracts, or reports. The AI engine evaluates evidence-based skill coverage and experience fit, producing a ranked leaderboard with explanations for each ranking. Bulk analysis processes files in seconds (e.g., 47 resumes in 8.4 seconds) and supports PDF, DOCX, and TXT formats. Results can be sorted, filtered, and exported as CSV. A free tier is available with 50 resume analyses per month, and paid plans unlock higher volumes.
Solves
Traditional candidate screening is time-consuming and often relies on keyword-matching tools that produce opaque rankings. Rankid solves this by automating the scoring and reasoning process, enabling recruiters to quickly understand why a candidate is a good fit, reducing manual review time and improving hiring decision quality.