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Feature · 01 of 07

AI Matching, in natural language.

Describe your need like you would to a colleague. Jemmo understands intent, priorities and context — then returns a justified shortlist from the FRK pool and 25M enriched public profiles.

claude.ai · jemmo.matchlive
You
Find me a senior Lead Data in Paris who has already scaled a real-time pipeline, available within the month.
Claude
I'm calling jemmo.match with semantic context + availability filters.
Jemmo
5 profiles ranked by fit score. Justifications visible in the app.
What it does

Three capabilities. One single API.

AI Matching combines intent understanding, semantic search and exclusive signals — orchestrated by your AI.

a.

Intent understanding

No boolean, no ATS filters. The AI extracts stack, seniority, contractual constraints and urgency from your natural-language prompt.

b.

Semantic search

Embeddings over experience, missions, tech. Finds nearby profiles even when keywords differ — e.g. "React Native" surfaces "Expo" profiles.

c.

Automatic justification

Every profile in the shortlist arrives with its score and the reason for the match. No more black box, no more endless scroll.

How it works

Three steps. A few seconds.

01.

You speak. Jemmo understands.

Skills, seniority, location, contractual constraints, urgency — the AI extracts the brief and turns it into a structured query. No special syntax to learn.

You can refine, broaden or contradict at any time; the query updates in real time.

Your prompt"3 senior fullstack devs, Next.js + Postgres, open to the market, available within 2 weeks, Paris or remote FR."
1jemmo.parse · stack, séniorité, contraintes0.4s
2jemmo.match · vivier FRK + 25M publics2.1s
3jemmo.shortlist · justifiéeinstant
02.

The signals that break the tie.

Beyond technical fit, AI Matching weighs market openness, estimated availability, activity freshness and responsiveness. The profiles most likely to reply rise to the top.

Every signal is computed from public sources and the FRK pool — never intrusive scraping.

Semantic match
96
Market openness
92
Availability
88
Activity freshness
81
Estimated responsiveness
74
Contractual fit
69
03.

A justified shortlist, not a list.

Each profile arrives with a score, the reason for the match, the signals that mattered and the pool status — vetted FRK or enriched public.

You can broaden, exclude, or ask for profiles similar to the top candidate — without leaving your AI.

Jemmo replyClément M. · 93% — Profile updated 4 days ago, similar mission delivered at Qonto, high market openness. Vetted FRK.
Use cases

Which hires is it built for?

A few examples of prompts that work particularly well with AI Matching.

Senior tech

Urgent mission

When you need a rare profile available fast — market openness and availability break the tie.

"Lead SRE, production-grade Kubernetes, available within 10 days, 6-month mission."
Niche

Rare stack

Semantic search finds nearby profiles, even when keywords don't match exactly.

"Embedded Rust dev, automotive ASIL experience, FR or EU."
Volume

Squad hiring

Run several prompts in parallel and build a coherent team. Jemmo detects overlaps.

"Data squad: 1 lead, 2 engineers, 1 analytics — Paris, 4 months, starting in June."
Comparison

vs classic boolean search.

CriterionBoolean searchJemmo AI Matching
Intent understandingStrict keywordsSemantic + context
Finds profiles beyond keywordsNoYes
Estimated availabilityReal-time score
Match justificationFlat listScore + reason
Average time / shortlist45–90 min~3 min
Go further

Related features.

Your next shortlist is one prompt away.

Connect Jemmo to your AI in 2 minutes. 2-week free trial.