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HomeUse CasesCandidate rediscovery
Recruiting & Staffing

Candidate rediscovery and matching over your ATS

A matching system designed to score your own ATS history against a new requisition — resurfacing past candidates who fit before a recruiter re-posts the job board. It ranks and surfaces options for a human to decide, and never auto-rejects or makes a hiring call on its own.

An illustrative example of a system we can build — not a client engagement, and with no measured results.

Summarize with AI:ChatGPTClaudePerplexity
Redeploy, don't re-sourceFitting past candidates ranked for a recruiter

The challenge

The best candidates for a new role are often already in the ATS, sourced for a req that closed a year ago. But old records are impossible to search by fit, so recruiters re-post job boards and re-source from scratch — paying twice for people the agency already knows.

How we'd build it

  • We'd build a matching model that scores candidates in your own ATS against a new req's real requirements, ranked by fit
  • We'd learn from your placement history — which past matches worked — rather than keyword-matching a resume to a job title
  • We'd surface a ranked shortlist with the reasoning for each, so a recruiter reviews and decides who to actually reach out to
  • We'd keep a hard human-in-the-loop line: the system ranks and surfaces, it never auto-rejects or makes a hiring decision

What it's designed to deliver

  • Designed to resurface fitting candidates from your own history first, so recruiters redeploy instead of re-sourcing
  • Built to rank by real fit and past outcomes, not a brittle keyword match on a job title
  • Intended to assist judgment, not replace it — a recruiter always makes the call, which also keeps you on the right side of fairness
  • Handed over as models and code on your infrastructure — it acts on your candidate history, owned by you, no lock-in
Service: Forecasting & Machine LearningIndustry: Recruiting & Staffing

And like everything we build, you'd own it

Source code handed over, in full
Deployed on your infrastructure
Full documentation & handoff
Built to run without us
Questions

What to expect

No. This is an illustrative example of a system Plenaura can build — not a delivered client engagement, and it carries no measured client results. We're a pre-launch studio building our first projects, and we won't present invented case studies as real.

Yes. Like everything we build, you own 100% of the code, models, and infrastructure, deployed under your control — no vendor lock-in and no platform fees.

It's scoped per project on a timeline agreed in writing before any work starts. A single focused capability ships faster than a fully connected system; we lock scope and timeline up front so there's no open-ended drift.

More use cases

Read & verifyDocument intelligence (lending)Surface wasteOperational intelligenceResolve, not deflectCustomer intelligence
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Want a system like this? Let's scope it.

Tell us the problem. We'll map the system and scope it with you — or give an honest no.

Book a strategy callSee what we build
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AI automation, agents, computer vision, and forecasting — built to production for growing businesses and handed over in full: code, models, and documentation.

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