Seeker
Seeker is an AI-powered candidate screening platform that automatically reviews resumes and matches applicants to job descriptions based on skills, location, and language proficiency. The platform natively integrates with Greenhouse and Workable, tagging candidates and uploading CV screening scorecards directly into existing ATS workflows. Seeker processes applications in real time, triggering AI analysis the moment a candidate applies.
- HR Technology
- Artificial Intelligence
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Recruiters face a high volume of applications, making manual CV screening time-consuming and prone to inconsistencies across roles and seniority levels. Existing applicant tracking systems (ATS) capture applications but lack intelligent screening capabilities, forcing recruiters to leave their workflow, review each resume manually, and mentally assess candidate fit against job descriptions.
Solution
Seeker provides an AI-powered candidate screening platform that automatically reviews resumes and matches applicants to job descriptions based on skills, location, and language proficiency. The platform detects must-have and nice-to-have skills from job descriptions and matches them against candidate work history, supports on-site, hybrid, and remote roles, and determines candidate languages from their CV content. Once analysis is complete, Seeker tags candidates directly inside the ATS and uploads a CV screening scorecard, eliminating the need to learn new tools. The system processes applications in real time, triggering AI analysis immediately upon application submission.
Target Audience
Primary users are recruiters, talent acquisition teams, and hiring managers at companies who need to efficiently screen large volumes of applications across diverse roles and seniority levels.
Features
- AI skill matching that detects must-have and nice-to-have skills from job descriptions and matches them against candidate work history
- AI location matching that identifies whether candidates are suitable for on-site, hybrid, or remote roles, including flagging those unwilling to relocate
- AI language matching that infers candidate languages from skills sections, work history, and educational background
- Native ATS integration with Greenhouse and Workable, tagging candidates and uploading screening scorecards directly into existing workflows
- Real-time application processing that starts AI analysis the moment a candidate applies
- Support for all roles and seniority levels, from developers to C-level executives