AI Candidate Screening & Matching

Most applicants for a typical role don't meet the basic requirements, yet someone still has to open every resume. Manual review is slow, inconsistent between recruiters, and checks each person against only the one job they picked.

Speed is only half the problem. A score alone doesn't tell a hiring manager why a candidate fits, what's missing, or what to ask next. Talenteria's AI candidate screening software does both jobs: it ranks every applicant, then explains each one.

A number alone doesn't help a hiring manager decide. Talenteria reads your job description and writes the screening criteria for you, each with a definition of the evidence it looks for. You edit any of them and set how much each one counts.

Each applicant gets a fit percentage per criterion and an overall AI score out of 10, grouped as Perfect, Good, Minimal or No Match. Recruiters can filter the list by any criterion, for example only candidates at 80% or more on Spanish.

When a new job opens, Talenteria searches your talent pools, past applicants and past hires, and recommends the people who fit, often before you post the job.

Talenteria's own AI Search understands plain-language queries, so you can describe the person you need the way you'd brief a recruiter, like "support people who know Zendesk and speak fluent Spanish". Every match comes with a score and an AI profile, so you know why they were suggested.

Talenteria connects to 40+ ATS and HR platforms, including Workday, Greenhouse, iCIMS, Lever, SmartRecruiters, Bullhorn and Oracle Recruiting Cloud. Data flows both ways, so recruiters stay in the system they already use.

Set rules based on the AI score to act automatically: tag strong candidates, raise their priority, or move the top fits straight to the hiring manager's shortlist.