German software giant SAP has agreed to acquire Belgian AI startup TechWolf, bringing workforce intelligence technology deeper into its enterprise software stack as companies try to understand which jobs and skills are changing because of artificial intelligence.
SAP said TechWolf provides a continuously updated view of the work their people do and the skills they have, using a proprietary data model called the Context Graph for Work. The transaction is expected to close in the fourth quarter of 2026, subject to customary conditions and regulatory approval. Financial terms were not disclosed.
Reuters separately reported that SAP is buying TechWolf to strengthen its workforce data and human-resources technology as organizations reorganize around AI and need better information about the capabilities they already have.
TechWolf grew out of a university project
TechWolf was officially founded in 2018 by computer science students Andreas De Neve, Jeroen Van Hautte and Mikaël Wornoo after an earlier university project in Ghent. The company says its technology evolved from matching students to jobs into helping enterprises understand skills, tasks and workforce capabilities.
The startup has also expanded quickly.
CEO Andreas De Neve said TechWolf’s U.S. annual recurring revenue grew from $1 million to $15 million in the last 18 months, while its models are used across dozens of large companies and by millions of workers.
Tech.eu reported that TechWolf employs more than 120 people and has raised more than $50 million, with investors including Felix Capital, Notion Capital, 20VC, SAP, ServiceNow and Workday.
SAP wants a data layer for AI-driven workforce decisions
The strategic value lies in the information TechWolf collects from existing business systems.
SAP says the Context Graph models three layers: the work employees perform, the skills they possess and developments in the external labor market. That data can then support decisions around reskilling, hiring, internal mobility and role redesign.
Manoj Swaminathan, president and chief product officer for SAP Autonomous Suite, said TechWolf’s context graph provides a grounding layer for AI agents dealing with work and skills planning and can help reduce token usage and deployment costs.
TechWolf is expected to continue operating independently from Ghent, with offices in London, New York and a planned San Francisco location.
Enterprise AI is becoming a data problem
The acquisition says something broader about enterprise AI.
Companies can deploy assistants and agents quickly, but those systems still need reliable context about how an organization actually works. Job titles and HR records rarely capture every task employees perform or every capability a company has.
That makes workforce data itself increasingly strategic.
SAP is effectively betting that the companies building AI agents for HR and workforce planning will need a detailed map of who can do what, how work is changing and where skills gaps are emerging.
For European startups, TechWolf also provides a notable exit path: specialized AI companies may become valuable not only for their models, but for the proprietary data structures that help much larger enterprise platforms understand the organizations they already serve.
