HrFlow.ai raises $7m pre-series A for its Hiring SuperIntelligence
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Whitepaper·AI & Fairness

Building a Human-level Matching Algorithm: Our Approach for AI & Fairness

Recruiting tech has been stuck on two technologies since the nineties: keyword Boolean search and a 1939 occupation taxonomy that miss cultural fit, soft skills, and growth potential, so HrFlow.ai trained Cerebro on 320 billion tokens across 43 languages, with bias-monitoring built in at training and after deployment.

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AI & Fairness

Trusted by Customers, Partners & the AI Ecosystem

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The framework behind production-grade recruiting AI

  • The 7 regulatory requirements for high-risk AI in hiring mapped to the right architecture.

  • Five biases, named and tracked: gender, ethnicity, stereotype, age, location, audited at both the data layer and the model layer.

  • The hiring funnel as a train line: a visual builder labels every stage positive, neutral, or negative, the conversion goal the model optimizes against.

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Trusted by fast-growing HR Tech and Global Enterprise

The hardest problem in the industry

Before HrFlow.ai

For 30 years, recruiting has leaned on keyword Boolean search and a 1939 occupation taxonomy, neither of which captures cultural fit, soft skills, or growth potential.

After HrFlow.ai

Building a human-level Matching algorithm is the most important & the most difficult challenge of the Recruiting and Human Capital software industry.

A hiring process is a train line

Before HrFlow.ai

Recruiting funnels are sequential, candidates can exit at any stage, and the work is helping each one progress to the next.

After HrFlow.ai

We've designed our visual builder with our philosophy that a hiring process or talent experience is akin to a train line. Candidates can exit at any stage, and the aim is to help each candidate progress as far along the journey as possible.

About Us

The definitive AI-Powered API for Human Resources

Extract, Enrich & Qualify HR Data. Connect your apps & automate workflows.

HrFlow.ai is building safe Hiring SuperIntelligence to help reduce unemployment at global scale. Founded in 2016, we are an API-first AI company building foundation models and agents for the labor market, trained on hundreds of millions of career paths and more than 1.2 billion hiring decisions. With over 100M profiles processed, we believe this capability shouldn't be locked inside a single product. Like critical infrastructure, it belongs to the entire HR ecosystem, and today over 1,000 customers build on our platform, backed by more than $10M from investors including BPI France, Amazon, Google, Microsoft, 115k, and Emerging Venture. We build AI for HR that is high-performing, explainable, and deployable at scale, designed to meet global AI compliance standards from GDPR to the EU AI Act and beyond.

The platform provides a complete and fully integrated suite of HR data processing products based on the analysis of hundreds of millions of career paths worldwide -- such as Parsing API, Tagging API, Embedding API, Searching API, Scoring API, and Upskilling API. It also offers a catalog of +200 connectors to build custom scenarios that can automate any business logic.

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