TechWolf
Founded in 2018 by Andreas De Neve, Jeroen Van Hautte, and Mikael Wornoo, TechWolf builds what it calls an AI-powered Skills Intelligence platform. The core product ingests job descriptions, performance data, and HR records to produce a structured, continuously updated skills graph for an organization's workforce.
The company raised a EUR 40M Series B in June 2023, led by Smartfin with participation from Fortino Capital. This brought total funding to EUR 43M and positioned TechWolf among Belgium's fastest-growing HR Tech companies. Headquartered at Wintercircus in Ghent, the team sits at the intersection of Enterprise AI and workforce planning.
TechWolf competes in the global skills intelligence category alongside players like Eightfold and Beamery, with a differentiated focus on structured ontology building rather than generic AI matching.
Funding History
2023-06: Series B, EUR 40M, led by Smartfin, with Fortino Capital
Stated facts & numbers
- First angel investment in TechWolf in 2020. (0:46:30, The Harbour 2025-05-01)
- TechWolf has about 90 employees. (0:09:21, SuperNova 2025-09-10)
- TechWolf opened its New York office in September, following a Series B fundraise closed in June. (0:09:21, SuperNova 2025-09-10)
- TechWolf received a ~€400k non-dilutive grant from the Flemish government early on, enabling its first two hires without dilution. (0:13:27, SuperNova 2025-09-10)
- TechWolf's product now supports more than 50 languages, having launched with Dutch, French and English. (0:14:30, SuperNova 2025-09-10)
- HSBC made a strategic investment in TechWolf after being a long-time customer. (0:10:23, SuperNova 2025-09-10)
- TechWolf has five company values, embedded in hiring, office design, performance management, and even equity grants for value champions. (0:27:19, SuperNova 2025-09-10)
- Techwolf started as students in a Birdhouse program, and Catalina worked with them in New York last year on US scaling. (0:30:46, SuperNova 2025-08-13)
Who works here34
In the media3
Artificial Intelligence in HR (talk at InnoEnergy DEAP event)Jeroen Van Hautte discusses how artificial intelligence can process large amounts of data and recognize patterns that humans cannot efficiently handle manually, enabling more personalized services when human judgment is combined with AI capabilities. He explains that AI learns from context similar to how humans do, using Netflix recommendations and self-driving cars as examples of current applications, and describes an Energy 3.0 project that aims to use AI to assess skill gaps and help individuals understand their position in their industry and growth opportunities.
- EP32: AI-Driven Talent Management: A Conversation with Tech Wolf's Co-Founder Jeroen Van Hautte
Jeroen Van Hautte discusses how Tech Wolf started as a student project to help match workers to jobs suited to their skills, then pivoted to solving enterprise talent management by enabling companies to identify skilled employees within their existing workforce rather than just screening external candidates. He explains that Tech Wolf combines multiple data sources including HR records, work history, and business tools like Jira and Confluence to infer skills, and describes how the company has evolved its product development approach to be more data-driven as it gained more customers.
- EP32: AI-Driven Talent Management: A Conversation with Tech Wolf's Co-Founder Jeroen Van Hautte
Jeroen Van Hautte discusses how Tech Wolf started by helping computer science students find work matching their skill sets, then expanded into enterprise talent management by using multiple data sources beyond CVs and LinkedIn, including HR data and business tools like Jira and Confluence to infer employee skills. He explains that Tech Wolf's technology identifies skilled workers within large organizations for internal job matching and describes how the company has evolved toward data-driven product prioritization as it reached around 30 enterprise customers.