Meet Verix

    Your Autonomous AI Hiring Agent

    Verix is Screenr's agentic AI that autonomously handles your entire hiring pipeline. From the moment a candidate applies to the final ranked shortlist — Verix does it all.

    What is Verix?

    Verix is an agentic AI system — not a simple chatbot or keyword matcher. It autonomously executes multi-step hiring workflows: parsing resumes, verifying external profiles, generating custom assessments, engaging with candidates in the background, and producing ranked candidate lists with explainable scores. It operates 24/7, handles hundreds of candidates simultaneously, and learns from your hiring patterns.

    THE VERIX PIPELINE

    How Verix Works End-to-End

    A fully autonomous pipeline that transforms how you hire — from application to offer-ready shortlist.

    STEP 01

    Candidates Apply Through Your Link

    Create a job posting and share the unique application link. Candidates submit their resume, LinkedIn, GitHub, and portfolio links. Verix automatically begins processing the moment they apply.

    • Unique link per job posting
    • Collects resume + profile links
    • Processing starts instantly
    • Candidates get confirmation
    screenr.co/apply/sr-fullstack-dev

    Applications received

    248

    Live

    12

    Today

    89

    This Week

    45

    Screened

    STEP 02

    Deep Resume Analysis & Fraud Detection

    Verix doesn't just scan for keywords. It understands the full context of each resume — analyzing experience depth, career progression, skill relevance, and flagging inflated or inconsistent claims.

    • Multi-dimensional skill extraction
    • Career trajectory analysis
    • Inconsistency & fraud detection
    • Experience depth scoring
    SC

    Sarah Chen

    5 yrs exp · San Francisco

    94%

    Match

    Skills Match95%
    Experience92%
    Education88%
    ReactNode.jsTypeScriptAWSPostgreSQL
    No red flags detected
    STEP 03

    External Profile Verification

    Verix automatically verifies every link and profile the candidate provides. It cross-references LinkedIn employment history, analyzes GitHub contribution patterns, and validates portfolio projects.

    • LinkedIn employment verification
    • GitHub commit & contribution analysis
    • Portfolio project validation
    • Cross-reference consistency checks

    VERIFICATION RESULTS

    LinkedIn Profile

    Employment history matches resume

    Verified

    GitHub Activity

    847 contributions in last year

    Active

    Portfolio Site

    3 projects verified & live

    Valid

    Consistency Check

    No discrepancies found

    Passed
    STEP 04

    Verix Sends Custom Screening Forms

    Based on the job requirements and each candidate's profile, Verix automatically generates tailored screening questions and sends them to shortlisted candidates. The forms test real technical ability, not just trivia.

    • AI-generated role-specific questions
    • Automatically sent to shortlisted candidates
    • Evaluates technical depth & problem-solving
    • Responses scored by AI in real-time

    Verix Auto-Sent Assessment

    Sent

    To: Sarah Chen

    Role: Senior Full-Stack Developer

    Q1: System Design

    Design a real-time collaboration feature for a document editor...

    Q2: Code Review

    Review this React hook implementation and identify the memory leak...

    Q3: Architecture

    How would you migrate a monolith to microservices while maintaining...

    Sent to 12 candidates · 8 completed
    STEP 05

    Verix Engages in the Background

    Verix works behind the scenes — following up with candidates, collecting assessment responses, sending reminders, and scoring everything automatically. You focus on your work while Verix handles candidate engagement.

    • Automatic follow-ups & reminders
    • Collects and scores assessment responses
    • Tracks candidate engagement & responsiveness
    • Standardized scoring across all candidates

    Verix Engagement Log

    Assessment Sent

    2 hours ago

    Sent 3-question technical assessment to Sarah Chen

    Response Received

    45 min ago

    Sarah Chen completed assessment — scoring in progress

    Reminder Sent

    30 min ago

    Gentle reminder sent to Alex Rivera — assessment pending

    12

    Sent

    8

    Completed

    4

    Pending

    STEP 06

    Ranked Results with Full Transparency

    Verix delivers a final ranked list of candidates with composite scores that combine all evaluation layers. Every score is explainable — you can see exactly why each candidate ranked where they did.

    • Composite score from all 4 evaluation layers
    • Explainable AI — see why candidates ranked
    • Verification status for every candidate
    • One-click shortlist and next steps

    FINAL RANKINGS — Senior Full-Stack Dev

    248 → 8 candidates
    #1
    SC

    Sarah Chen

    94%Strong
    #2
    AR

    Alex Rivera

    87%Good
    #3
    JP

    Jordan Park

    79%Good
    #4
    ML

    Morgan Lee

    74%Moderate
    #5
    SW

    Sam Wilson

    71%Moderate

    Verix Capabilities

    24/7 Operation

    Screens candidates around the clock without breaks

    Learns & Adapts

    Gets smarter with every hiring cycle and your feedback

    100s Simultaneously

    Handles hundreds of candidates at the same time

    Fraud Detection

    Catches inflated resumes and inconsistent claims

    Candidate Engagement

    Sends forms, assessments, and follow-ups automatically

    Explainable Scores

    Every ranking decision is transparent and auditable

    Deploy Verix Today

    Ready to Automate Your Hiring?

    Let Verix handle the heavy lifting. Deploy your AI hiring agent in minutes and start receiving ranked candidate shortlists.

    Free tier available • No credit card required • Verix deployed in 2 minutes