CandidateSearch adds an AI-driven, natural‑language search layer to existing applicant tracking systems, letting recruiters query the full candidate pool with plain English or job descriptions. The platform interprets intent, ranks matches, and offers conversational filtering and similarity scores, enabling faster, more precise talent sourcing.
Funding
Funding not disclosed
Founders
Product
Problem
Recruiters and talent sourcers often rely on keyword or Boolean searches within applicant tracking systems, which can miss qualified candidates whose profiles use different terminology or lack exact keyword matches. This leads to inefficient sourcing, longer time-to-fill, and underutilization of existing candidate databases.
Solution
CandidateSearch offers an AI-powered search layer that connects directly to a company's ATS and enables natural language queries over the entire candidate pool. Users can describe the ideal hire in plain English or paste a job description, and the system interprets intent, role, and context to rank matching profiles. The interface supports conversational follow‑up questions, dynamic filtering on custom fields, and similarity suggestions with clear match scores, allowing recruiters to refine results on the fly. Saved search collections let teams reuse high‑performing query templates across pipelines, turning the ATS into an intuitive, intent‑driven talent discovery engine.
Target Audience
Primary customers are corporate recruiting teams, staffing agencies, and talent acquisition professionals who need faster, more accurate sourcing from their current ATS candidate repositories.
Features
- Natural language search that understands intent, role requirements, and contextual cues without needing Boolean strings
- Direct integration with existing ATS platforms for real‑time access to the full candidate database
- Conversational UI that lets users ask follow‑up questions and iteratively refine searches
- Precision filtering on skills, experience, industry, location, and custom ATS fields combined with AI ranking
- Similar‑candidate recommendations with transparent match scores to expand talent pools
- Saved search collections for reusable, role‑specific query templates