Jobandtalent, a London, UK- and Madrid, Spain-based recruitment platform which matches jobs to candidates through a linguistics-based algorithm, raised €2.5m in funding (approximately £2.2m/$3.3m).
Backers included Kibo Ventures, Félix Ruiz and existing shareholder Alfonso Villanueva.
The company intends to use the funds to continue to improve the accuracy of the matching algorithm, to develop native mobile apps, focus on boosting user-adoption in the United Kingdom, and prepare the platform for new markets.
Co-founded by Juan Urdiales and Felipe Navio, Jobandtalent has been testing different approaches within the recruitment industry since 2009, from career guides to a social media approach, pivoting into an algorithm-based platform in 2012, which matches candidates with jobs they might otherwise miss. Formulated in collaboration with HR and big data experts, and PhDs from the IULA (Research Institute for Applied Linguistics) of Universitat Pompeu Fabra, Barcelona, the algorithm operates as a virtual recruitment consultant or personal assistant, who identifies and recognize linguistic patterns within the structure and phrasing of both job adverts and CVs. These patterns are then converted into data points that match candidates with job opportunities, even if they do not match a candidate’s or recruiter’s specifications word for word. jobandtalent also allows users to import some relevant information from Facebook in order to identify existing 1st and 2nd degree connections at a company, as well as obtain referrals and references from contacts.
Over 200 European and global companies from multiple sectors such as Accenture, Morgan Stanley, Ericsson, Booking, L’Oréal, or Deloitte, rely on the company’s platform.
jobandtalent currently has 20 members of staff.