Find Top Talent with AI

Automatically match candidates with job openings based on skills, experience, and potential fit.

The challenge

When roles are high-priority and pipelines move fast, finding the right candidates becomes less about volume and more about signal. But in most recruitment teams, the signal is scattered across CVs, interview notes, inbox threads, ATS fields, LinkedIn profiles, and hiring manager feedback.

That’s how great candidates get missed, shortlists get inconsistent, and recruiters spend hours doing manual matching that still feels subjective.

How cognipeer helps

cognipeer gives you AI agents tailored to your recruitment workflow, so you can automatically match candidates to open roles using structured and unstructured signals, not just keyword overlap.

Instead of relying on basic ATS filters, you get a consistent, explainable “fit view” that compares skills, experience, seniority, domain exposure, and role-specific requirements, while flagging gaps and risks early.

What you can do with this use case

AI matching that goes beyond keywords

  • Extract skills and experience from CVs, portfolios, GitHub, LinkedIn profiles, and interview notes

  • Normalise synonyms (e.g., “Golang” vs “Go”, “customer success” vs “CSM”)

  • Score candidates against must-haves, nice-to-haves, and role context

Fit, potential, and transferability signals

  • Identify adjacent experience (industry, product type, regulated environments, scale)

  • Highlight transferable skills and learning curves

  • Flag role-fit risks (e.g., seniority mismatch, missing core requirement, location constraints)

Shortlists you can defend

  • Generate a ranked shortlist with clear reasons why each candidate matches

  • Produce a concise “evidence summary” for hiring managers

  • Keep evaluation consistent across recruiters and regions

Always-on talent rediscovery

  • Re-match new roles against your existing database automatically

  • Surface “previously screened” candidates who now fit better

  • Reduce time-to-shortlist without lowering the bar

How it works (in practice)

  1. Connect your systems: ATS + calendars + email + recruitment sources

  2. Define matching criteria: what “good” looks like per role (skills, domain, seniority, constraints)

  3. AI agent evaluates candidates: scores, explains, flags risks, suggests next steps

  4. Recruiter stays in control: adjust weighting, add guidance, approve shortlists, track decisions

Tools you can integrate with

cognipeer can sit on top of your existing stack and work with the tools you already use, including:

  • ATS/HR systems: Greenhouse, Lever, Workday Recruiting, SAP SuccessFactors, SmartRecruiters, iCIMS, Oracle Taleo

  • Sourcing: LinkedIn Recruiter

  • Productivity: email, calendars, Slack/Teams, docs, internal knowledge bases

  • Custom integrations via API

Outcomes you should expect

  • Faster shortlists with fewer manual screening hours

  • More consistent matching and less recruiter-to-recruiter variance

  • Better hiring manager alignment through clear, evidence-based summaries

  • Higher quality pipelines by rediscovering candidates already in your database