AI Resume Screening That Goes Beyond Keywords
Stop losing great candidates to keyword matching. Screenr's AI resume scanner understands context, verifies claims, and ranks candidates by actual fit — not formatting.
Why keyword matching fails
Traditional resume screening tools were built for a different era. They match keywords, not candidates.
Keywords miss context
A candidate writes 'React.js' instead of 'React' and gets filtered out. Keyword matchers don't understand that they're the same skill.
Manual review doesn't scale
Reviewing 200 resumes at 5 minutes each takes 16+ hours. Most recruiters give up after the first 50.
Great candidates get lost
Up to 75% of qualified candidates are rejected by ATS keyword filters before a human ever sees their resume.
Screenr's multi-layer AI approach
Our AI resume screening goes through four layers of analysis to produce scores you can trust.
- Contextual skill extraction — understands React.js, ReactJS, and React are the same
- Career trajectory analysis — evaluates growth, not just current title
- Cross-platform verification — checks LinkedIn, GitHub, and portfolios
- Fraud detection — flags inflated claims and inconsistencies
- Explainable scores — see exactly why each candidate ranked where they did
Sarah Chen
5 yrs exp · San Francisco
94%
Match
10x
Faster screening
94%
Accuracy rate
70%
Less recruiter burnout
5 min
Per 100 resumes
Who uses AI resume screening?
From 5-person startups to enterprise recruiting teams.
Startup hiring 50 developers
A Series A startup received 2,000+ applications for 50 engineering roles. Screenr screened all candidates in under an hour, identifying the top 150 for interviews.
2,000+
Applications
120 hrs
Time saved
Enterprise screening 1,000+ resumes
A Fortune 500 company used Screenr to replace their manual screening process. The AI identified candidates that keyword filters had been missing for years.
1,000+
Resumes screened
3x more
Qualified found
Recruiting agency batch processing
A staffing agency uses Screenr to process multiple client roles simultaneously, delivering shortlists to clients within 24 hours instead of 2 weeks.
25+
Roles per week
24 hrs
Delivery time
Campus hiring at scale
A tech company screened 5,000 campus applicants using Screenr's AI, fairly evaluating graduates with limited work history based on skills and potential.
5,000
Applicants
2 hrs
Screened in
Frequently Asked Questions
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