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In development

AI CV Screening Software for Faster, Smarter Hiring

Pepit is AI CV Screening Software for HR teams. It analyzes CVs, ranks candidates, and prepares interviews without replacing existing HR tools. V1 relies on Google Drive.

0-100 score, summary, strengths, weaknesses, reservations, and generated interview questions.
CV Report0-100 score, summary, strengths, weaknesses, reservations, and generated interview questions.

AI Scoring

A score is only useful if it explains its reasoning.

Pepit displays the score, but also the reasons: job fit, strong signals, identified reservations, and questions to ask during the interview.

  • 0-100 score with documented criteria
  • Detailed strengths and weaknesses
  • 7 to 10 generated interview questions
Pepit displays the score, but also the reasons: job fit, strong signals, identified reservations, and questions to ask during the interview.
AI Scoring · 86/1000-100 score, summary, strengths, weaknesses, reservations, and generated interview questions.

Observation

CVs can come from anywhere. The decision, however, must remain traceable.

The real problem in recruitment isn't the lack of candidates. It's the time spent reading before you can compare.

  1. 01

    Scattered sources

    Drive, email, upload, ATS, LinkedIn. CVs don't always follow the same path, and recruiters manually rebuild each file.

  2. 02

    Repetitive sorting

    The same reading before every comparison. Pepit produces a structured report upon receipt so human effort goes into the decision, not the sorting.

  3. 03

    Unequal interviews

    Questions change based on available time and the recruiter's memory. Pepit generates a consistent interview guide for every profile.

Pepit Pipeline

From submission to shortlist, in five steps.

  1. 01

    Submission

    Google Drive today. Direct upload and ATS integration on the V2 roadmap.

  2. 02

    Extraction

    PDF reading, contact details, experiences, skills, and education extracted automatically.

  3. 03

    AI Scoring

    0-100 score with reasoning, criteria, and strong signals per job description.

  4. 04

    Report

    Summary, strengths, weaknesses, reservations, and personalized interview guide.

  5. 05

    Notification

    Shortlist sent by email with ranked profiles and their reports.

Current State

A first foundation centered on CV analysis.

CV Analysis

AI CV Review automatically reads CVs and extracts contact details, experience, skills, and other relevant information from each resume..

To go further, discover how AI-powered CV analysis works, from information extraction to candidate ranking.

Explained Candidate Scoring

Candidate Scoring provides a 0-100 score with documented reasoning, transparent criteria, and identified strong signals..

For more detail, discover how candidate scoring is calculated and which signals contribute to the final score.

Candidate Report

Concise summary, strengths, weaknesses, reservations, and points to check in interview.

Interview Guide

7 to 10 automatically generated questions, adapted to the profile and the job description.

Email Notification

The best profiles bubble up without manual sorting. The shortlist arrives directly in your inbox.

Top candidates with score, status, strengths, and quick actions available.
Ranked Candidate ListTop candidates with score, status, strengths, and quick actions available.

Ranking

The shortlist without manual reading.

Candidates bubble up sorted by score. The recruiter directly opens profiles that match the job description, with the AI reasoning already visible next to it.

Vision & Roadmap

HR Tools for Candidates and Recruitment Teams

Pepit is evolving into a complete solution that supports candidates in their progression and helps companies identify, qualify, and track talent with more context..

See how AI CV screening can support HR teams, where it saves time, and where human judgment still matters.

From Drive to integrated ATS, in three steps.

V1. Google Drive

Usable now

The CV folder is analyzed in the background by BullMQ. The best profiles bubble up with a score and a structured report. No manual action required between submission and report.

V2. Email / upload

Less preparation

The recruiter no longer needs to reorganize files before analyzing applications. A forwarded email or an upload is enough to trigger the analysis.

V3. ATS Integration

Non-invasive AI layer

Greenhouse, Lever, or Workable remain the pipeline source. Pepit enriches existing profiles with scoring and interview guides without replacing the HR tool.

Learn how ATS integration can automate the first screening pass while keeping your existing recruitment system as the main source of candidate data.

Candidate side · Company and HR side

Candidate side

Understand your profile, prepare, and progress.

  • CV review with concrete recommendations
  • Suggestions for improvement and learning paths
  • Mock interview simulations
  • Preparation by target company type
  • Progression tracking and history

Company and HR side

Publish, match, qualify, and track.

  • Job posting and description submission
  • Automatic matching with candidate profiles
  • Shortlist with scores and reports
  • History of interactions and interviews
  • Full traceability of recommendations and decisions
An architecture designed for reliability and scalability.

Node / React

Robust Express API and modern React interface for a smooth recruiter experience.

PostgreSQL / Redis

Structured data and asynchronous jobs with BullMQ for background analysis.

OpenAI models

CV analysis, scoring, and generation of interview questions via a structured prompt.

Google Drive

V1 entry point: reading CV folders, automatic trigger of analysis.

GDPR

Candidate data retention and deletion to be framed for each SaaS deployment.

ATS Integration

Product direction: enrich Greenhouse, Lever, or Workable with Pepit scoring.

Created by MONARK IT

Pepit leverages MONARK IT's experience in AI, SaaS, and business automation.

MONARK IT builds reliable digital products for startups, SMEs, and large companies. Pepit extends this expertise to recruitment: AI analysis, asynchronous workflow, Drive integration today, multi-channel trajectory tomorrow.

  • OpenAI models for scoring and questions
  • BullMQ async jobs

FAQ

Everything you may want to know before contacting us.

How does AI CV Review work in Pepit?

AI CV Review extracts relevant information from a resume and compares it with the requirements of a specific job to help recruiters assess the profile.

What does CV Analysis include?

CV Analysis covers experience, skills, education, and other relevant information, turning an unstructured resume into data that can be reviewed more consistently.

How does Candidate Scoring work?

Candidate Scoring compares the CV with the job requirements and generates a score with documented reasoning, strengths, and points that may need further review.

Can Pepit work with existing HR Tools?

Yes. Pepit is designed to complement existing HR Tools by adding AI-powered CV analysis, scoring, and interview preparation without forcing teams to replace their current workflow.

Does Pepit replace an ATS?

No. Pepit is designed as an AI layer around the recruitment process rather than a replacement for the ATS.

Does Pepit support ATS Integration?

ATS Integration is part of the product roadmap. The goal is to enrich profiles from existing systems with Pepit scoring and interview guidance.

Can Pepit generate interview questions from a CV?

Yes. Pepit can generate interview questions based on the candidate profile and the job description to help recruiters prepare more structured interviews.

Does AI make the final hiring decision?

No. Pepit provides analysis, scoring, and recommendations, while recruiters remain responsible for the shortlist and final hiring decision.

Bring a job description. Test the scoring.

A good Pepit demo compares several CVs against a real job description and shows the generated interview questions for each profile. Twenty minutes, concrete results.

See candidate scoring