This is a central theme for consulting firms, digital firms, and design offices: “Recruitment” – understanding the process of hiring employees on various corporate projects – has a direct impact on the latter’s performance. Only, it is sometimes complicated to get an overview of the skills available to you and your concrete needs in the field.
This is where Whoz intends to help client companies. Created in 2016, the company offers them a SaaS platform capable of creating complete maps of internal skills and external needs, by discovering trends and deficits the company may suffer in the future. Thanks to artificial intelligence, the startup was able to improve its recruitment and training plans by taking advantage of a clear view of the situation and qualifying its teams. A service that also allows for the best possible “match” between consultants and clients regarding their preferred specialties and areas.
Founded by Philippe Couturier, a consultant who worked at Capgemini and former founder of the consulting firm InovenAltenor, and since its sale to Orange Business Services, the startup has already been working to digitize talent management at companies such as Devoteam, Engie and Thales. Whoz announced Thursday, May 12, 2022, that it has raised €25 million in PSG stock – to which €5 million has been added in bank loans – to support its growth.
Promote research and development
The acquisition of Growth Equity Fund will allow Whoz to draw not only on PSG’s expertise in B2B software, but also and above all on its international network to accelerate its presence in the French market and expand into new geographies. targeted? USA, Germany, UK and India.
” We are very proud to welcome PSG as a strategic partner, which will accelerate our ambition to become a global reference in digital recruitment, Jean-Philippe Quatrez, CEO and co-founder of Whoz, rejoices in a press release. We believe their support will be a great asset in advancing our AI technologies, enhancing our offering and furthering our development. »
In addition to opening up to new markets, the startup also plans to allocate a portion of the funds raised to boost research and development, in particular by hiring world-class specialists in “natural language processing”, a specific branch of machine learning. language; Here to better define the skills and needs of companies.
To achieve its goals, the company, which already has 30,000 active users in more than 50 countries, plans to double its workforce to 110 employees by the end of 2022. This is, in particular, in the marketing and sales teams as well as customer support.