MONARK

Recruitment starts before sorting.

Pepit analyzes CVs, ranks candidates, and prepares interviews without replacing your HR tools. V1 relies on Google Drive. The product trajectory aims for a multi-channel intelligence layer for both candidates and companies.

Monark Pepit
CV Report

CV Report

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

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
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PEPIT

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.

Scattered sources

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

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.

Unequal interviews

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

From submission to shortlist, in five steps.

01

Submission

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

02

Extraction

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

03

AI Scoring

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

04

Report

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

05

Notification

Shortlist sent by email with ranked profiles and their reports.

A first foundation centered on CV analysis.

CV Analysis

Automatic reading of PDFs, extraction of contact details, experiences, and skills.

Explained AI Scoring

0-100 score with documented reasoning, transparent criteria, and identified strong signals.

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.

Monark Pepit
Ranked Candidate List

Ranked Candidate List

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

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.

From Drive to integrated ATS, in three steps.

V1. Google Drive

Usable now

A simple, demonstrable flow, already in active development.

Drive remains the simple and demonstrable entry point for V1.

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 CV arrives in any format. Pepit reads it.

Email and direct upload reduce friction for the recruiter.

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

Supplement rather than replace. The ATS keeps its role.

The ATS stays in place. Pepit adds intelligence on top of it.

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

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.

A platform for career and recruitment.

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

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

Data and Responsibility

AI assists, it does not automate the final decision. The recruiter retains control over the shortlist and choice of candidates. Every recommendation is tracked and justified.

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

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.