The right candidate is already in your archive. Let AI find them.
Moneko turns thousands of resumes into a searchable talent pool. Paste a vacancy — AI ranks the best-matching people from your database and shows how each one measures up against every requirement.
Works with PDF, DOC and DOCX · Team workspaces · REST API · EU data hosting
From a folder of resumes to a shortlist in three steps
Moneko does the reading. You make the call.
Step 1
Upload resumes
Drag and drop PDF, DOC and DOCX files — hundreds at a time — or push candidates from your ATS through the REST API. AI reads each resume and extracts the job title, name, location, contacts, keywords and a short summary.
Step 2
Paste the vacancy
Copy the entire job description, or just describe who you need. Moneko turns it into a short list of concrete requirements and a title for the search — no boolean strings, no filters.
Step 3
Get a ranked, explained shortlist
Semantic search pulls the closest candidates from your database; AI compares them head-to-head and ranks them. Each person is scored Good / Fair / Poor on every requirement, with a one-line reason.
Everything a recruiter needs to work an existing database
Moneko is not another ATS. It is the search layer for the resumes you already have — whether they live in folders, an old ATS or your inbox.
Search by pasting the vacancy
No boolean strings, no filters to configure. Paste the whole job description, or describe the person you need in plain language.
Factor-by-factor match assessment
Every candidate in the results is scored Good / Fair / Poor against each requirement — with a one-sentence justification grounded in their resume.
Semantic and keyword search, together
Vector search finds people who match the meaning of the vacancy; keyword search with synonyms, highlights and did-you-mean finds the exact term you typed.
Automatic resume parsing
Drop in PDF, DOC and DOCX files. AI extracts the job title, name, location, contact details, keywords and a two-sentence summary — no templates required.
A candidate database you control
Browse, tag and bulk-edit candidates. Filter any search by tag. Every field is editable, and the change log shows who changed what — including the AI.
Curate the shortlist
Pin the people you want to keep, hide the ones you don’t, and load more when you need a bigger pool. The search remembers your decisions.
Keep your ATS. Add Moneko search to it.
One endpoint to push candidates in. Moneko parses, indexes and keeps them in sync — re-sending unchanged text costs nothing, changed text triggers a fresh parse.
REST API with per-dataspace keys
- Send up to 100 candidates per request with your own IDs — Moneko creates new candidates or updates existing ones.
- Plain resume text is enough; files can still be attached later in the app.
- Keys are created, disabled and revoked by dataspace admins; every change made through a key is attributed to it in the candidate log.
- Idempotent by design: identical text and date are skipped, so nightly syncs are safe.
Need a different shape — webhooks, bulk export, a specific ATS? Tell us at hi@moneko.ai.
POST /api/v1/candidates
curl -X POST https://moneko.app/api/v1/candidates \
-H "Authorization: Bearer <your-api-key>" \
-H "Content-Type: application/json" \
-d '{
"candidates": [
{
"id": "ats-1042",
"resume": {
"text": "Daniela Ruiz — Senior Backend Engineer ...",
"date": "2026-08-01T09:30:00Z"
}
}
]
}'Bring your resumes. Moneko does the reading.
Start with a free dataspace, upload a batch of resumes and run your first AI search in minutes. Questions first? We answer email personally.
hi@moneko.ai