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Arcade Alliance

Live demo · AI tool · HR teams & recruitment agencies

Every CV read. The best ones first.

All 500 applications are read against the same must-haves, scored with reasons you can check, and ranked — so the recruiter spends the morning talking to candidates, not sorting files.

Try it live Make it yours

The problem

“We get 500 CVs for one opening and read only the first fifty.”
The problem this demo is built to solveLive demo · sample data

What is AI resume screening?

AI resume screening reads every CV for an opening — PDF or Word — pulls out experience, skills, location and education, checks the job’s must-haves and ranks candidates with the reasons for each score. Recruiters review the ranked list and decide; nobody is rejected by the AI alone.

Built around your workflow: this demo is a starting point — screens, fields, rules and integrations are made to fit your business.

CVs read for an opening

Before: The first fiftyWith the system: All of them, ranked

How the system works · how we measured

The system reads every CV it receives against the same must-haves; in the demo, all six are read, scored with reasons and ranked.

01 · The problem

What problem does it solve?

A growing company posts an opening for an inside sales executive and gets hundreds of CVs from job portals, email and referrals in a week. The recruiter has time to read the first fifty properly.

Good candidates who applied on day four are never opened, shortlists depend on who did the reading that day, and hiring managers can’t see why one CV made it and another didn’t.

  • Unread applications

    Late applicants are never seen.

  • Inconsistent shortlists

    Different readers, different standards.

  • Slow hiring

    Days of sorting before the first interview.

  • No explanation

    Managers can’t see why a CV was chosen.

02 · The solution

How does AI Resume Screening fix it?

  1. 01

    Read every CV the same way

    Each CV is parsed into experience, skills, languages, location and education, whatever its layout.

  2. 02

    Must-haves first

    The job’s non-negotiables are checked on every CV and shown as pass or miss, with a note.

  3. 03

    Scores you can question

    Each score comes with plain reasons, so a recruiter can agree, disagree and adjust.

  4. 04

    People decide

    The AI ranks and explains; recruiters shortlist. Settings keep protected details like age and gender out of the score.

03 · The result

What changes?

CVs read for an opening

Before: The first fiftyWith the system: All of them, ranked

How the system works · how we measured

The system reads every CV it receives against the same must-haves; in the demo, all six are read, scored with reasons and ranked.

CVs in the demo
6
For every score
Reasons
Checked on every CV
Must-haves
Make the decision
People

Live demo

Try it live.

A scripted demo with sample data, so it behaves the same for everyone. Nothing you do here is saved or sent anywhere.
  1. 1Press “Read and rank 6 CVs” and watch each one being read.
  2. 2Open the top candidate to see the extracted fields and the reasons.
  3. 3Shortlist two and send the shortlist.
Make it yours
Loading the demo…

Before & after

The same day, two ways.

Watch each task move from the way it’s done today to the way it runs on the system — or drag the slider yourself.
Today
With the system
  • CVs readToday: The first fiftyWith the system: Every one
  • Must-havesToday: Checked by eyeWith the system: Pass or miss on every CV
  • RankingToday: Order of arrivalWith the system: Best match first, with reasons
  • Shortlist to managerToday: A folder of CVsWith the system: Ranked list with the AI’s notes

Your numbers

What could it save you?

Put in your own volume and timing. It’s your estimate, worked out in your browser — not a promise from us.
min
min

Our estimate for the same task — change it if you like.

₹ / hr

Your estimate

58 hours a month

About 7.3 working days back every month.

1,299 CVs a month × 2.7 minutes saved each. Your numbers stay in this browser.

Make it yours

Built around your business.

Choose what your version of AI Resume Screening needs. Your brief builds itself — send it, and we reply with a plan.

Often asked for by businesses like yours

  • Your must-haves per role
  • How experience is counted
  • What must never affect the score
  • Shortlist size per opening
  • Who sees the AI’s notes
Always included
  • CV parsing
  • Must-have checks
  • Match score with reasons
  • Shortlist
Add modules
Connect to the tools you use
Runs on
Languages
Hosting
Team size

Under the hood

How is it built?

Where the data comes from, what the system does with it, and what comes out.

Inputs

  • CVs from portals, email & referrals
  • Job description & must-haves
  • Recruiter feedback

The engine

  • CV parsing
  • Must-have checks & match scoring
  • Fairness settings

Outputs

  • Ranked candidate list
  • Reasons per candidate
  • Shortlist to the hiring manager

Modules

  • CV parsing
  • Match score with reasons
  • Must-have checks
  • Shortlist & export
  • Fairness settings
  • ATS sync

Connects to

  • Naukri / LinkedIn / email intake
  • Your ATS or HRMS
  • Google / Microsoft calendars
  • WhatsApp Business API
  • Google Sheets
  • Slack or Teams

Stack

  • Claude / GPT / Gemini
  • CV parsing & OCR
  • Python
  • PostgreSQL
  • Job portal & email intake
  • Your ATS or HRMS

Proof, the honest way

What would you measure?

This is a demo, so we don’t claim client results. In a real roll-out, these are the numbers we track from week one — before and after.

  • Time to shortlist

    From job posted to first interviews.

  • CVs reviewed

    Share of applications actually read.

  • Agreement rate

    How often recruiters agree with the ranking.

  • Interview-to-offer

    Quality of the shortlist.

FAQ

AI Resume Screening FAQ

All questions →
What is AI resume screening?

AI resume screening reads every CV for an opening — PDF or Word — pulls out experience, skills, location and education, checks the job’s must-haves and ranks candidates with the reasons for each score. Recruiters review the ranked list and decide; nobody is rejected by the AI alone.

Does the AI reject candidates on its own?

No. It reads, checks and ranks; a recruiter reviews the list and decides. Low-scoring CVs stay visible, with the reasons.

How do you keep the screening fair?

The score uses only job-related information you choose. Name, age, gender, religion and photos are excluded from scoring, and rankings are reviewed against recruiters’ decisions.

Can it read CVs in any format?

Yes — PDF, Word and scanned CVs. Odd layouts or poor scans are flagged with a lower confidence for a person to check.

Does it work with Naukri or LinkedIn applications?

Yes. Applications can come in from job portals, email and referral forms into one list for each opening.

Is candidate data kept private?

CVs are stored on infrastructure you choose, deleted on the schedule you set, and processed by AI providers whose business APIs do not train on your data.

Built around you

Every demo is a starting point.

Nothing here is sold as-is. Each one is rebuilt around your business — these are the things we tailor on every project.

  • Your workflow

    Steps, approvals and statuses the way your team works today.

  • Roles & permissions

    Who sees and changes what — by branch, team or person.

  • Fields & forms

    Your terms, your fields, your numbering and units.

  • Reports

    The numbers you check every day, in your format.

  • Integrations

    Tally, WhatsApp, payments, couriers and the tools you already use.

  • Your brand

    Your name, logo and colours on every screen and document.

  • Language

    English, Hindi or a regional language for staff and customers.

  • Hosting

    Our cloud, your cloud account or your own server.

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Updated 29 Oct 2026 · Arcade Alliance Network is a web, app, software and AI development company in Lucknow, India, building custom software for businesses in India and worldwide.

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