Qneiform has raised €3 million in seed funding as the Budapest-based employee intelligence platform looks to scale its HR technology offering beyond financial services and accelerate international expansion.
The funding round was led by PROfounders Capital and Day1 Capital, with participation from existing investors Keen Ventures and DFF Ventures, formerly Dutch Founders Fund. The company said the capital would be used to strengthen its proprietary data models and broaden the platform’s sector reach.
Founded in 2022, Qneiform provides recruiters — initially focused on the financial services industry — with data-driven insights into talent movement, hiring trends and competitive positioning. The platform combines proprietary datasets with expert research to offer what it describes as a comprehensive view of talent pools.
The new funding will support product development and geographic expansion, as the company seeks to position itself as a broader enterprise solution for organisations adopting data-led talent acquisition strategies.
Qneiform already operates offices in London and Amsterdam in addition to its Budapest base, underscoring its early international footprint. The company said it aims to extend its capabilities into additional industries where hiring competition and workforce analytics are becoming increasingly central to strategic decision-making.
The investment comes amid sustained investor interest in HR technology platforms that promise greater efficiency and intelligence in recruitment. As companies grapple with skills shortages and tighter labour markets, demand has grown for tools that offer predictive insights and faster candidate mapping.
Qneiform’s leadership said the focus remains on building scalable data infrastructure and enhancing analytics capabilities to provide recruiters with deeper market visibility.
With fresh capital and backing from established European venture firms, the company now faces the challenge of translating niche financial-services traction into broader enterprise adoption in a competitive HR tech landscape increasingly defined by analytics, automation and AI-driven decision support.