AI Talent Rediscovery
Rediscover Candidates Already in Your ATS & Talent Pool
Skima AI offers the best candidate rediscovery tool that searches your ATS and talent databases for qualified candidates, matches them to open roles, and automatically ranks them by fit, saving 67% sourcing time.
How Candidate Rediscovery Works
Skima AI integrates with your ATS, removes duplicate profiles, verifies candidate claims, then runs AI search across your entire database to rank and shortlist the best-fit candidates for any open role.
Connect Your ATS
Skima AI syncs with Greenhouse, BambooHR, Lever, Teamtailor, Workable, SmartRecruiters, and LinkedIn, pulling every candidate and job description into one searchable database without disrupting your existing hiring workflow.
Deduplicate Candidates
Skima AI automatically identifies and removes duplicate profiles by email, phone, LinkedIn URL, or matching name, location, and company. So recruiters merge records instead of screening the same candidate twice.
Detect Fraud & Enrich Profiles
Skima AI verifies claimed skills against real project history and job duties, detects AI-generated resumes, flags fraudulent or misrepresented profiles, and enriches each record by auto-filling missing fields and standardizing parsed resume data, keeping every candidate profile complete.
AI Search Surfaces Qualified Candidates
Skima AI scans your entire database against the job requirements, ranking every match by relevance so the strongest candidates surface first, before you source new applicants externally.
Review & Shortlist
Recruiters review ranked candidates with transparent match scores and reasons, then filter by industry, work mode, experience, location, notice period, or salary to shortlist the best fits fast.
Why Your Existing Database Is Your Best Talent Source
Recruiters spend the most sourcing budget searching for new candidates while qualified ones already stay inside their own ATS. Skima AI proves this database is often the fastest, cheapest source of the next hire.
Reduce Time-to-Hire & Sourcing Cost
Skima AI customers fill roles 67% faster by rediscovering candidates already in their database, reducing job board spends and shortening time-to-hire without posting a single new job ad.
Find Your "Silver Medalist" Candidates
Silver medalists are strong runner-up candidates from past roles who were never hired. Skima AI automatically re-evaluates them against every new opening, so highly qualified talent is never wasted.
One Candidate, Every Open Role
Skima AI's Reverse Search starts from one candidate profile and instantly matches them against every open role, so no strong applicant is limited to just one job.
Rediscovery Is a Different Category Than Screening
Screening evaluates new applicants against one job. Rediscovery searches your entire historical database against every open role, surfacing qualified candidates you already have before you screen anyone new.
| Factors | Candidate Rediscovery | Candidate Screening |
|---|---|---|
| Starting point | Your entire ATS & talent pool database | New applicants for one job |
| Goal | Resurface past candidates for new roles | Rank current applicants by fit |
| Data source | Historical database + talent pools + current employees | Live applications only |
| Sourcing cost | Zero external sourcing needed | Requires new job ads |
| Best for | Silver medalists & closed reqs | Active pipelines |
Where Talent Rediscovery Fits in Your Hiring Workflow
Talent Rediscovery happens first, before job ads go live. Skima AI automatically rediscovers candidates from your ATS database, matches them to the new role, and notifies recruiters. Sourcing starts only if no match is found.
Frequently Asked Questions
Everything you need to know about the product
What is candidate rediscovery?
Candidate rediscovery is the process of resurfacing previously screened, interviewed, or rejected candidates from your existing ATS and talent databases who match a new open role. Skima AI automates this process by ranking every existing profile against live requirements, so qualified candidates surface before you source externally.
How does AI recruiting software handle candidate rediscovery?
AI recruiting software like Skima AI handles candidate rediscovery by continuously comparing candidate profiles in your database against new job descriptions. It ranks matched candidates by relevance and skill fit, automatically resurfacing strong candidates without recruiters manually re-searching old records.
How can recruiters find hidden database talent?
Recruiters find hidden database talent by running Skima AI's Talent Rediscovery against any open role. It scans every uploaded resume across past jobs, surfacing overlooked candidates ranked by fit, so no strong profile stays buried in old records.
How to search across multiple talent databases API?
Skima AI searches across multiple talent databases through direct ATS integrations with Greenhouse, Ashby, Lever, Teamtailor, BambooHR, Workable, and SmartRecruiters. Candidate and job data sync automatically, letting recruiters search one unified pool instead of switching between separate systems.
How does AI talent rediscovery work within existing databases?
Within existing databases, Skima AI's talent rediscovery connects to your ATS, removes duplicates, verifies candidate claims, and then runs an AI search against a job's requirements. Matching candidates are ranked and shortlisted automatically, turning old records into an active talent pipeline.
What is a "silver medalist" candidate?
A silver medalist candidate is a strong runner-up who wasn't hired for a previous role but remains qualified. Skima AI automatically re-evaluates these candidates against every new opening, so highly capable talent isn't lost after one rejection.
Does Skima AI detect duplicate or fraudulent candidate profiles?
Yes, Skima AI detects duplicate candidate profiles by matching email, phone, LinkedIn URL, or name and company combinations. It also verifies claimed skills against real project history and job duties, flagging fraudulent or misrepresented profiles before they reach screening.
How much time and cost does candidate rediscovery save?
Candidate rediscovery with Skima AI helps teams fill roles 67% faster by resurfacing qualified candidates already in their database. Recruiters skip new job board spends entirely, since rediscovered candidates are sourced internally instead of through paid external channels.
How is candidate rediscovery different from candidate screening?
Candidate rediscovery searches your entire historical database against every open role, while screening only evaluates new applicants for one specific job. Skima AI runs rediscovery first, so qualified past candidates are considered before any new sourcing or screening begins.
Does candidate rediscovery run automatically, or do I have to search manually each time?
Candidate rediscovery can run automatically in Skima AI. Enabling this setting triggers a database scan the moment a new job is created, matching and ranking candidates without manual searching, though recruiters can also run rediscovery on demand anytime.