Fribl provides an AI‑driven talent matching platform that lets recruiters search, analyze, and rank candidates across 800 M+ global profiles using natural‑language queries and a proprietary HR knowledge graph. The service integrates via a single API with any ATS, offering semantic search, CV skill extraction, job‑description optimization, and explainable matching on a token‑based pay‑as‑you‑go model.
Funding
Funding not disclosed
Founders
Product
Problem
Recruiters spend extensive time manually parsing resumes and keywords, leading to slow hiring cycles, high cost‑per‑hire, and suboptimal candidate matches.
Solution
Fribl offers an AI‑driven talent matching platform that scores and ranks candidates on hard skills, soft skills, experience, and education. The system integrates with ATSs via a single API, providing access to over 800 million global profiles and enabling semantic search, CV analysis, job‑description optimization, and automated matching. Generative AI combined with a proprietary HR knowledge graph delivers rapid, transparent recommendations and detailed explanations, allowing recruiters to identify the best fits in minutes rather than days. The platform supports token‑based pricing, letting users consume resources across modules as needed while maintaining full auditability and bias‑mitigation safeguards.
Target Audience
Primary customers are staffing agencies, HR platforms, talent marketplaces, and enterprise recruiting teams that need fast, data‑driven candidate sourcing and screening.
Features
- Semantic Talent Search across 800 M+ profiles with natural‑language queries
- AI‑powered CV engine that extracts hard and soft skills, experience, and education
- Job description analyzer that enriches requirements and aligns them with the skills taxonomy
- Job‑matching module that scores and ranks candidates, providing explainable results
- Unified API that connects to any ATS or HR platform for seamless workflow automation
- Token‑based consumption model shared across all four modules (search, analysis, optimization, matching)
- Built‑in bias reviews, adversarial de‑biasing, and audit logs for ethical compliance