AI-Powered Hiring Pattern Prediction
Predict whether a client will accept or reject your candidate — before you submit. VivyaScreen analyzes public hiring data from 8 sources, infers real patterns, detects rejection risks, and scores candidates against what companies actually hire, not just what the JD says.
8
Data sources scraped concurrently
5yr
Hiring trend analysis depth
2-pass
Chain-of-thought AI scoring
3
Boolean strings auto-generated
What Makes It Powerful
8-Source Data Collection
Scrapes Google X-Ray, Indeed, Naukri, Glassdoor, AmbitionBox, GitHub, career pages, and company news concurrently — building a 360° view of who the company actually hires.
5-Year Hiring Trend Analysis
Yearly breakdown of hiring volume, focus areas, key skills, top roles, salary ranges, and technology adoption — revealing how the company's hiring patterns have evolved.
Candidate Acceptance Prediction
AI scores any candidate against inferred hiring patterns — predicting acceptance or rejection with a breakdown of JD match vs. real pattern fit.
Rejection Pattern Detection
Identifies common reasons companies reject candidates — frequency-ranked (common/moderate/rare) with data-backed evidence, so you stop wasting submissions.
Requirement Intelligence
Deep skill-by-skill analysis — what each skill is, why the role needs it, criticality level, version sensitivity, aliases, and equivalent tools to search for.
AI Feedback Loop
Records accept/reject outcomes from past submissions. The AI learns from every decision, continuously improving prediction accuracy over time.
How It Works
Upload or Select a Job Description
Paste a JD or select one from your library. The AI auto-extracts the company name, job title, location, and required skills — analysis begins automatically.
AI Collects Public Hiring Data
8 data sources are scraped concurrently — job boards, career pages, employee profiles, Glassdoor reviews, GitHub activity, and company news. Full page content is enriched via trafilatura for deeper signal.
Pattern Inference & Trend Analysis
A multi-pass LLM pipeline infers preferred domains, common previous companies, experience sweet spots, education preferences, culture signals, and 5-year hiring velocity trends.
Score Candidates Against Patterns
Select any candidate — the AI runs a two-pass chain-of-thought analysis: first extracting CV facts, then scoring against patterns plus historical feedback. Get acceptance probability, mismatch warnings, and ATS-ready Boolean search strings.
Ready to Transform Your Hiring?
Join 1,000+ recruiters who screen 10,000 interviews daily with AI. Cut screening time by 90% and reduce cost-per-hire by 60%.