JOB DESC ANALYSER
GenAI-powered editor to read and modify easily your job descriptions
Build your perfect job description to attract faster the best talents fitting in your organization
Unique value proposition
- Transforms static job descriptions
- Provides intelligent, dynamic editing
- Bridges skills taxonomy and recruitment needs
- Supports data-driven job design
How does Fribl enable dynamic job desc optimization?
Your job description is the strategic magnet for attracting ideal talent
Job desc optimizer
A powerful GenAI engine to read, analyze and compare your job ad with the standard identified requirements for the same role in your industry.
Enhancement
You’re in control. Edit, tweak, add. Compares the job description with our KG integrating the standard descriptions of occupations, skills, and qualifications to refine your requirements faster.
Refiner
Intuitive AI-powered editor letting you to refine your job description, adding must-have vs nice-to have criteria to immediately disqualify certain applicants. Tweak weights on the 4 main categories (soft and hard skills, experience, education). Build a greater job description for a reliable matching.
Open source LLMs
Leverage fine-tuned lightweight language models on open source that Fribl specially tailored for recruitment tasks, ensuring fast, and accurate data processing.
Standard skills referential
The thousands of occupational categories with +20k required traits (skills) have been integrated in our KG to build automatically the perfect job description.
Multilingual understanding
Streamlines multilingual data handling by managing original language translations directly in the ingestion of the CVs and matching process at scale.
They talk about it
better than we do
Straight from our clients
The integration of Fribl has transformed our approach to talent acquisition, introducing a level of efficiency and cost-effectiveness that was previously unattainable.
What used to be a time-intensive process of candidate selection now unfolds within mere minutes. This streamlined efficiency allows us to redirect our efforts towards cultivating meaningful connections with our chosen candidates.
The rapidity and precision afforded by GenAI have significantly enhanced our recruitment strategy, reaching unprecedented levels of seamlessness and satisfaction. It stands as a pivotal advancement in the realm of talent acquisition, serving as a true game-changer for our organization.
At Yees!, where we are deeply committed to mental health and holistic employee well-being, finding the right psychological support professionals is crucial. Fribl has been instrumental in helping us navigate the complex landscape of recruiting top-tier mental health experts. Their platform allows us to streamline our recruitment process, ensuring we can quickly identify professionals who not only meet our rigorous standards but also align with our comprehensive approach to employee support across professional, personal, and psychological dimensions.
Revolutionizing the fresh product ecosystem, we found that talent acquisition mirrors our core mission—precision, efficiency, and the perfect match. Fribl’s GenAI platform has been instrumental for Consentio, swiftly connecting us with the right professionals in an effective and timely manner. Just as we use technology to preserve food quality, Fribl helps us maintain the quality of our team—making hiring as fresh and reliable as our products.
Fribl’s GenAI solution has dramatically streamlined our talent acquisition at Gimar&Co. We’ve cut our hiring timeline in half while finding candidates who are both technically qualified and culturally aligned. The ROI has been immediate, both in recruitment costs and team performance.
Fribl’s GenAI technology has transformed how we deliver value to our clients. We now analyze, score, and match top sales talent with unprecedented precision and speed. This allows us to provide our clients with better-qualified sales professionals who drive immediate results. The efficiency gains have also strengthened our marketing services, as we can now connect businesses with talent that truly understands their market positioning. With Fribl, we’re not just filling positions – we’re building revenue-generating teams for our clients.
Our most frequently
asked questions
The essentials
What is Fribl Intelligent Matching API?
Fribl is an AI-powered Intelligent Matching API built for Staffing Agencies, HR Platforms and Talent Marketplaces. It tackles critical recruitment challenges through a single API connection, delivering 4 modules: Talent Search (candidate sourcing), In-depth Profile Analysis, Job Description Optimization, and Job Matching (scoring & ranking), with full analytics included.
How do Fribl's modules work together?
Each of the 4 modules can run independently or in combination, driven by our workflow agent, adapting to your use case and specific requirements. The automated workflow handles everything: indexing profiles from your Talent Pool into our Knowledge Graph (capturing both structured and unstructured data), analyzing new candidates sourced via Fribl and enriching your Talent Pool with their insights, optimizing Job Descriptions on the fly or in advance, and running Job Matching against selected candidates or your entire Talent Pool, all powered by our KG structure.
What is Fribl Talent Search?
Fribl Talent Search is our AI-powered sourcing module, giving Staffing Agencies, HR Platforms and Talent Marketplaces access to 800M+ candidate profiles through a single API. Recruiters can search in natural language directly from their ATS, build their own sourcing workflow, and retrieve rich profiles including work history, education, skills and contact information, that can be automatically sinced within their Talent Pool. Unlike keyword-based searches on LinkedIn, Fribl’s semantic search delivers significantly higher match rates, making it the most accurate candidate search engine on the market.
How does the token-based pricing work?
Tokens are shared across all 4 modules and consumed as follows:
-Talent Search: 1 Token
-Profile/CV Analysis (shared in the ATS/HR Platform): 1 Token
-Job Desc Optimization & Enrichment: 3 Tokens
-Job-Matching (scoring and ranking with all explanations shared in the ATS/Platform): 5 Tokens
How have companies traditionally pre-qualified their best candidates until now?
Companies have traditionally identified candidates through manual review, keyword-based systems, and more recently AI parsers, each with significant limitations in capturing candidate potential:
- Manual review: Time-consuming, costly, with potential biases
- Keywords based systems (in databases and ATS): Miss candidates using different terminology
- AI Parsers: Extract information, looks for keywords too and miss context and transferable skills. No AI Act compatibility, as uniquely based on generic LLMs: creating hallucinations, lack of transparency and no results explanations.
