Manual Resume Screening Takes Days and Misses Talent
Recruiters spend 10-20 hours screening 100+ resumes per opening, reading for keywords and experience. Unconscious bias affects decisions. Great candidates get overlooked due to non-traditional backgrounds or resume formatting. Hiring managers receive unvetted candidates.
Unbiased Resume Screening at Scale
AI resume screener that reads job description and candidate resumes, scores each candidate on: skills match, experience level, education, achievements, ranks candidates by overall fit, flags bias in screening criteria, and generates shortlist with justifications--reducing 15 hours to 30 minutes.
Upload job description and bulk resume files (PDF, Word, LinkedIn)
AI extracts: skills, experience, education, certifications, achievements
Scores candidates 0-100 on job fit across multiple criteria
Ranks candidates: Top 10%, Qualified, Potential, Not a fit
Explains scoring: "Strong Python skills, lacks cloud experience"
Exports shortlist to ATS or spreadsheet with candidate summaries
From Resume Pile to Shortlist
Upload JD & Resumes
HR uploads job description and 100+ candidate resumes. System processes in parallel.
AI Extraction
Claude reads each resume, extracts structured data: skills, experience, education, projects.
Scoring & Ranking
AI scores candidates against JD requirements. Ranks by total score and critical must-haves.
Shortlist Review
Recruiter reviews top 20 candidates with AI explanations. Selects 5-10 for interviews.
Key Features
Skills Extraction
Identifies technical and soft skills even without keyword matching. "Led team of 5" → leadership skill.
Bias Mitigation
Redacts names, photos, graduation years during screening. Surfaces only relevant qualifications.
Non-Traditional Paths
Values bootcamp grads, career changers, self-taught learners. Not just 4-year degree filters.
Knockout Questions
Set must-have criteria: "5+ years Python, remote work eligible." Auto-filters unqualified.
Resume Screening Stack
Who Benefits?
High-Volume Hiring
Screen 500+ resumes for customer service roles in hours. Identify best candidates objectively.
Technical Recruiting
Assess developer candidates on 20+ technical skills. Rank by experience with required stack.
Diversity Hiring
Remove bias from screening. Surface qualified candidates from underrepresented backgrounds.