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TechWolf

AI · Ghent, Belgium · Founded 2018

TechWolf is a talent intelligence software developer that provides an AI-driven data layer to help large enterprises manage workforce transformation. The company was founded in 2018 in Ghent, Belgium, by Andreas De Neve (CEO), Jeroen Van Hautte (CTO), and Mikaël Wornoo (President), who met as computer science engineering students at Ghent University and Cambridge University. The initial idea stemmed from observing their peers taking hospitality jobs instead of roles that utilized their specific skills, which led them to develop a solution for a much broader economic problem: matching people with the right skill requirements. TechWolf's core offering is a skills intelligence platform that functions as an API-first data infrastructure layer. It integrates with a company's existing HR and business systems—such as Workday, SAP, Microsoft Teams, and Jira—to analyze unstructured data from daily work activities like projects and presentations. Using proprietary AI and language models, the platform infers employee skills automatically, creating an always-on, up-to-date inventory of workforce capabilities. This eliminates the need for manual self-assessments and provides companies with a clear view of the skills they have, the skills they need, and the gaps in between. The platform is designed to be invisible and interfaceless, activating skill data within the existing HR tech stack to support strategic workforce planning, internal mobility, and skills-based hiring and learning. The company targets large enterprises and has secured clients such as GSK, HSBC, United Airlines, MetLife, and Workday. Its business model is centered on providing this intelligence layer to enhance, rather than replace, existing HR systems, positioning itself as a partner to major HR platforms. This strategy was validated when SAP, ServiceNow, and Workday jointly invested in the company's Series B round, a first for the tech giants. TechWolf has experienced rapid growth, reporting a 12x revenue increase in the two years following its Series A round. As of June 2024, the company had raised a total of over $53 million in funding. A significant portion of this investment is dedicated to its U.S. expansion, with plans to open a New York City office, and continued R&D in artificial intelligence. Keywords: talent intelligence, skills intelligence, workforce transformation, AI-driven HR, skill gap analysis, workforce planning, internal mobility, skills-based hiring, reskilling, upskilling, HR analytics, talent management, skills data, HR tech, workforce agility, API-first, skills-based organization, talent optimization, employee skills mapping, AI infrastructure for skills