01 How import works
Several ways to feed Jemmo
ATS connectors, AI resume parsing, structured profiles. All your candidates ready to match.
Smart resume parsing
Automatic extraction of skills, experience, education and contact details from your resumes.
ATS connection
Connect your ATS (Teamtailor, Flatchr, Spott or Jarvi) to sync your candidates and roles.
Automatic enrichment
Imported profiles are automatically enriched with signals and metadata to make searches easier.
The tool sorts, scores and justifies. The consultant qualifies and recommends.
02 How it works
A simple process to feed Jemmo.
Import or connect.
Import your resumes, a CSV file or LinkedIn URLs, or connect your ATS for automatic synchronisation.
All your sources in one place: resumes, LinkedIn URLs, CSV files, or straight from your ATS.
Extraction and AI enrichment.
Our AI engine analyses every document, extracts structured information (skills, experience, contacts) and enriches the profiles.
Every imported profile joins your pool, structured and ready to be searched like the others.
Ready to match.
Profiles are immediately available for matching. Your forgotten talent surfaces on every role they match.
A candidate rejected in 2024 for one role but relevant in 2025 for another — they surface on their own in the right shortlist.
03 Use cases
Which pools is it built for?
When your internal pool is asleep, import and ATS connection wake it up.
Archive folders
10 years of applications in Drive folders. Bulk import structures them all, matching surfaces them.
Candidates never re-contacted
ATS connected, but candidates never re-contacted. Every new role surfaces them when they match.
Bulk URLs
Paste 100 LinkedIn URLs pulled from an event. AI parsing creates the profiles, matching evaluates them immediately.
04 Comparison
vs a standard ATS with no AI.
05 Go further
Related features.
AI Matching
One prompt — Jemmo extracts your criteria and returns a reasoned shortlist.
Learn more →FeaturePublic base +25M
25 million enriched public profiles on top of your pool, in the same search.
Learn more →FeatureOrganization rules
Inclusion, exclusion, boost and penalty. Your rules, applied to every search.
Learn more →