AI-powered candidate ranking and shortlisting that reduces screening time by 80%. Upload a job description and let the system rank applicants by fit — instantly.
Resume Screener ingests your job description and applicant pool, then scores and ranks each candidate against the role's requirements. Recruiters see a prioritised shortlist — not a pile of unread PDFs.
Built for HR teams and staffing agencies that are drowning in volume, and for public-sector bodies that need defensible, bias-checked screening at scale.
Arjun Sharma
Priya Kumar
Rahul Nair
47 more candidates ranked below threshold
Automatically extracts must-have skills, experience levels, and qualifications from any job description — even unstructured ones.
Each candidate gets a percentage fit score with a breakdown by skill cluster. Recruiters see exactly why a candidate ranked where they did.
Names, gender, and demographic signals are masked during scoring. Decisions are based on competencies, not proxies.
Accepts PDF, Word, plain text, and LinkedIn exports. Handles varied resume formats without templates.
Connects to Workday, Greenhouse, Lever, and other ATS platforms. Rankings flow back into your existing workflow.
Candidate data never leaves your infrastructure. Fully deployable on your own servers for sensitive hiring contexts.
High-volume hiring teams processing hundreds of applications per role
Placement firms managing multiple clients and requisitions simultaneously
Government bodies needing transparent, auditable screening for civil service roles
Academic institutions hiring research staff and handling campus recruitment
We can have Resume Screener running on your job descriptions within a week. Let's set up a live demo with your own data.
Request a Demo