CV Analysis
Automatic reading of PDFs, extraction of contact details, experiences, and skills.
In development
AI CV Review for Recruiters: Score, Rank, Prepare Interviews
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.
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
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.
- 01
Scattered sources
Drive, email, upload, ATS, LinkedIn. CVs don't always follow the same path, and recruiters manually rebuild each file.
- 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.
- 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.
- 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.
Current State
A first foundation centered on CV analysis.
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.
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
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.
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.
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
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.