Stop keywords-based parsing. Start talent matching. Boost your productivity

Stop keywords-based parsing. Start talent matching. Boost your productivity

About us

Fribl revolutionizes the effectiveness and competitiveness in the field of talent acquisition

Our company

Recruitment has evolved far beyond its traditional HR function to become a strategic lever essential for business performance and growth.
With the increased digitalization of recruitment processes, immense volumes of data now flow through billions of resumes, shared on HR platforms and job-boards, then sent to company and recruitment agencies’ ATS (Applicant Tracking Systems) or HRIS.
Fribl leverages cutting-edge Generative AI technology integrated with specialized HR Knowledge Graphs (GraphRAG) that map both soft and hard skills across thousands of roles and occupations. This unique and powerful combination enables comprehensive analysis of enormous data volumes, delivering swift and remarkably precise talent matching decisions.
In just a few minutes, our solution identifies and recommends the most suitable talent, regardless of industry, role, or location (works in multiple languages).
This hybrid approach enables more relevant candidate recommendations, better understanding of complex career paths, and establishing more nuanced matches between skills and company needs.
A unique position at the intersection of advanced data science and human resources, seeking to make recruitment more intelligent and efficient through innovative technologies.

Our missions

Disrupt screening tactics by simplifying the complex, multidimensional analysis of applicant credentials at scale to surface the ideal talents that personify an organization’s ethos.
Corporate Social Responsability in the field of AI is crucial given societal and ethical implications.

Combining AI

  • AI predicts strong fits and provides insights
  • Humans make nuanced evaluations brackets (unconscious bias)
  • Ongoing model improvment from expert feedback
  • Provide transparency, auditing, and governance

Comprehensive ethical safeguards

  • Regular bias reviews on protected characteristics
  • Adversarial de-biasing, balanced data, audits
  • Ongoing model improvment from expert feedback
  • Align assessments with best practices

Mitigating bias in recruiting

  • Leverage AI consistency to counteract human biases
  • Actively measure and mitigate technical biases
  • Work closely with HR experts to identify process biases
  • Provide transparency, auditing and governance

Our team

François

Founder & CEO

Salah

CTO

Aled

Product Designer

Mohamed

NLP Dev & KG expert

Cyprien

Business Dev EU

Matthieu

Business Dev EU

Micaela

DevOps / Cloud Engineer

Sebastián

Full-Stack Dev

Our partners

We would love to hear from you

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