Recruiters waste hours building Boolean search strings. They fight with clunky ATS filters constantly. Candidate Search AI removes that hassle—you search your existing candidate database like you're talking to a coworker.
Type what you need in plain English. It figures out the rest.
There's almost no learning curve. Paste a job description or describe your ideal candidate conversationally. No syntax to memorize. The system indexes your ATS data automatically. It understands synonyms and related job titles without you spelling everything out. A hiring manager looking for a "frontend engineer with React experience" gets matches even when candidates listed "UI developer" or "JavaScript specialist" on their resumes.
The chat interface handles follow-up questions naturally. Ask to see candidates from fintech backgrounds. Narrow results to specific locations without starting over. Match scores appear alongside explanations for why each candidate fits. It also enriches profiles with public data from LinkedIn and GitHub—then generates summaries highlighting relevant skills.
Side-by-side comparison features let you evaluate multiple candidates with AI-generated insights about their backgrounds. Save search templates for recurring roles.
The early access phase means you might hit rough edges or missing integrations. Setup supposedly takes minutes (no technical help required). That matters when recruiting teams don't have dedicated IT support.
The whole point? Find people faster without becoming a search syntax expert first. You talk—it listens and delivers results that actually make sense.
