Screen resumes against the JD
Compare extracted CV signals with the job description, role skills, experience expectations, and hiring context.
AI CV Screening Software
Screen resumes faster with AI CV Screening
LYMS helps recruiters upload resumes against a job, extract relevant candidate data, score fit against the job description, and prioritize stronger candidates faster.
AI Resume Screening
Candidate fit results
Rank candidates by fit
Review score, skills, experience, and culture fit so the strongest CVs are easier to prioritize.
Protect resume privacy
Use CVs for screening and store structured candidate data, rather than keeping raw resumes unnecessarily.
Scoring model
Score CVs by skills, experience, and fit
LYMS CV screening is designed to make recruiter review faster, not blind. Each result can show what the system found and why the candidate may be worth reviewing.
Skills
Skill overlap, required technologies, and role-critical capabilities.
Experience
Years, seniority, role history, and relevance to the job description.
Culture fit
Role intent, working preferences, communication signals, and domain alignment.
Privacy-aware workflow
Extract useful signals without keeping every raw CV
Resume files can contain sensitive personal information. LYMS focuses on extracting relevant structured candidate data for screening so hiring teams can reduce storage risk while still reviewing meaningful fit signals.
Upload resumes against a selected job
Extract text and structured candidate signals
Score against the job description and saved role context
Sort candidates by fit and shortlist manually
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Read guideReady to screen CVs faster?
Use LYMS to compare resumes against real job context and make shortlist review clearer.