London-based Veremark secures €22 million to expand AI-driven background screening tools

February 3, 2026 at 09:13 AM UTC
EU-Startups
Original: EN
London-based Veremark secures €22 million to expand AI-driven background screening tools

**Veremark Secures Major Funding for AI-Driven Workplace Trust Solutions** London-based Veremark has announced a substantial €22 million Series B funding round, underscoring significant investor confidence in AI-driven solutions for workplace trust and background screening. This investment signifies a notable trend in the European HR technology sector, with a particular focus on leveraging artificial intelligence to enhance recruitment and ongoing employee conduct management. The funding aims to fuel new product development, bolster AI capabilities, and facilitate Veremark's global expansion. The company's innovative platform integrates background screening, whistleblowing, and credential verification into a unified system. Veremark assists businesses in reducing hiring risks by thoroughly vetting new candidates and also supports ongoing employee integrity through rescreening and credential management via its "Verepass" career passport. This approach addresses the increasing complexity and risk associated with verifying individuals at scale in today's dynamic work environment. This substantial funding follows a strong period of growth for Veremark, including a 300% revenue run rate increase in 2025 and a strategic acquisition of Agenda Screening Services. The investment highlights a broader European market trend towards AI-enabled HR infrastructure, with companies like Kiku and Orbio also securing significant funding for their respective AI-powered recruitment and human capital management systems. Veremark's significant Series B round positions it as a key player in scaling these critical workplace trust solutions internationally.

Curated and translated by Europe Digital for our multilingual European audience.

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Publication: EU-Startups
Published: February 3, 2026 at 09:13 AM UTC
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