Mouhidine Seiv, the Mauritanian engineer building the global recruitment infrastructure with HrFlow.ai
Founder of HrFlow.ai, Mouhidine Seiv develops an artificial intelligence platform dedicated to the job market. With a $7 million funding round, his startup is accelerating its international expansion and aims to become a global infrastructure for HR data and intelligent recruitment. By the editorial team

At the intersection of artificial intelligence and the global job market, Mouhidine Seiv stands out as one of the most structuring profiles of the new generation of tech entrepreneurs from the African diaspora. An engineer by training and entrepreneur, he is the founder and CEO of HrFlow.ai, a startup specializing in AI applied to human resources.
An demanding academic background
The story of HrFlow.ai began in 2016, after two years of research and development in applied mathematics and artificial intelligence conducted in France, notably at the École Normale Supérieure and École Centrale Paris. It is in this demanding academic environment that Mouhidine Seiv developed a core conviction: the global job market has become too complex, fragmented, and fast-moving to be efficiently managed without artificial intelligence systems.
This intuition became the foundation of HrFlow.ai, initially launched under the name Riminder.net, before evolving into a full infrastructure dedicated to HR data. The company today positions itself as an “API-first” platform enabling the structuring, analysis, and automation of recruitment-related data at scale.
His vision: an AI capable of enhancing recruiters’ and companies’ decision-making power
The vision carried by Mouhidine Seiv is that of a “Hiring SuperIntelligence,” an artificial intelligence capable of enhancing the decision-making capacity of recruiters and companies. The company’s stated objective is ambitious: to fluidify the job market and reduce structural inefficiencies that hinder access to employment globally.
In its institutional presentation, HrFlow.ai states that it aims to “solve unemployment, advance the labor market, and humanity” by leveraging AI and massive recruitment data. The company also notes that the labor market has become “more liquid than ever” due to the rapid transformation of industries and skills ([HrFlow.ai][2]).
Mouhidine Seiv’s trajectory is also marked by a strong academic and scientific dimension. Trained in mathematics and artificial intelligence, he belongs to a generation of engineer-entrepreneurs seeking to transform global challenges into technological infrastructures. His work relies on the analysis of hundreds of millions of professional career paths and AI models dedicated to understanding recruitment at scale.
HrFlow.ai today claims more than 1,000 clients, including companies, HR platforms, and recruitment agencies, and processes millions of employment-related decisions through its artificial intelligence systems.
Conquering the world
The startup is reaching a new milestone with a $7 million funding round aimed at accelerating its expansion, particularly in the U.S. market. This operation is part of an international development strategy designed to position the company as a central player in the global AI-powered recruitment infrastructure.
Beyond technology, Mouhidine Seiv’s project raises a structural question: how to organize a global labor market where data, skills, and opportunities are distributed more efficiently and more equitably? His answer is based on a simple but ambitious idea: transforming recruitment into an algorithmic infrastructure capable of reducing friction between talent and companies.
In a context where employment systems are under strong pressure—automation, skills shortages, increased international mobility—HrFlow.ai positions itself as both an optimization tool and a driver of labor market transformation.
The impact sought goes beyond recruitment alone. By structuring employment data on a global scale, HrFlow.ai’s technology aims to become a foundational layer of the digital economy, on par with payment or cloud infrastructures.



