Riminder is the first artificial intelligence solution capable of identifying talents based on the analysis of millions of career paths around the world. Riminder uses state-of-the-art Deep Learning technology to evaluate and classify each aspect of the candidate's profile: experience, projects, training, known skills, career changes and even hidden skills. This solution lets the user identify three times as many talents and interview four times fewer candidates. With Riminder, recruitment managers can focus on relations with the candidates and the composition of the teams.
This international team comprises members from four different countries, and graduates from the world’s most prestigious higher education institutions, from the École Polytechnique to Stanford. It is currently supported by numerous entrepreneurs in the new technology sector.
4 questions to Riminder
Where did you get the idea for this startup?
Interview with Mouhidine Seiv, founder of Riminder. With the problems faced by recruitment managers in mind, my aim has always been to reveal the hidden potential of candidates. To do this, a technological solution had to be developed to help recruiters manage the wide variety of career paths and keep pace with the fast-changing employment market. Riminder is the first artificial intelligence solution to identify talents based on the analysis of millions of career paths around the world. Our solution lets the user identify three times as many talents and interview four times fewer candidates. Recruitment managers can therefore focus on relations with the candidates and the composition of the teams.
Any recent good news?
In April, we were one of eight entrepreneurs, selected from among more than 400, to participate in an event organised by the Leade.rs platform in Paris. In May, we were one of two non-American startups selected by Techcrunch, allowing us to launch the public beta version there. .
What is the most unexpected thing that your startup has made you do?
I launched Riminder while studying at Ecole Centrale Paris, then at Ecole Normale Supérieure, where I specialised in artificial intelligence. As the person behind the project, I had many roles to fill: provide the vision, collect capital, acquire expertise, manage legal matters, build a new team based around a shared culture, mobilise additional funds and manage the project. At Riminder, I learnt everything: from Legal Affairs, Marketing and Sales, including Adobe Illustrator and CSS, through to roll-out and backend infrastructure difficulties. It’s a real advantage, as it means I can communicate with all of the company's departments. Furthermore, as a foreigner it is extremely difficult to set up a company in France: just as difficult as it is for a French person who wishes to set up a company in the United States. In my case, it took two years of visits to the prefecture before I got my entrepreneur's visa. The procedure was finally sped up thanks to the intervention of Business France four days before my student residence permit expired. Lastly, we needed to resolve the lack of capital. Student entrepreneurship is characterised by low funding. I funded the start of the business with the 12 hours of private classes I gave every weekend. To hire my first trainee, I needed to make a major compromise: save the money I’d been using to pay the rent, and spend my nights hidden away in the business incubator of Ecole Centrale Paris. That lasted from September 2015 until July 2016, when the company’s financial situation improved. I followed the famous advice of Jack Ma, founder of AliBaba: “To be successful, learn how to solve problems without money”. To survive, I needed to be creative.
In what way does your project revolutionise your category?
In 2017, recruiters still use multi-criteria search engines to pre-classify candidate profiles. However, these tools accentuate human bias and encourage a cloning process among companies. The keywords used are often limited to prestigious schools or known companies. This approach favours the prestige rather than the actual potential of the candidates. Furthermore, these tools are not intelligent enough to draw on the great diversity of experience among candidates and convert them into opportunities for different career paths. Riminder evaluates and classifies each aspect of the candidate's profile: experience, projects, training, known skills, career changes and even hidden skills. Our unique technology is based on state-of-the-art Deep Learning algorithms. These machine-learning techniques let us achieve results whose accuracy is unrivalled.