One Data will fuel its global expansion with a recently closed €32M Series B extension
Germany-based data management company One Data has secured €32 million in Series B extension funding to expand its AI-powered Data Product Builder platform, with plans to grow internationally and strengthen its position as a leader in data product management.
One Data, a Germany-based data management company, recently announced it raised €32 million in a Series B extension round co-led by Vsquared Ventures, Molten Ventures, and HV Capital, all leading deep-tech and software European investors. One Data boasts a significant portfolio of clients across the DACH (Germany, Austria, Switzerland) region, including notable names such as BioNTech, ThyssenKrupp, and SCHOTT. The company plans to use the investment to strengthen its status as an industry leader in data product management, grow its presence in international markets, and boost its strategic partnerships to widen its reach and expand its customer base.
One Data's flagship product is the AI-powered Data Product Builder, a platform that allows businesses to build, manage, and share data products while saving them time and resources. The Data Product Building leverages the power of AI to gather, analyze, and associate data points to generate high-quality insights to support the operations of businesses across a wide range of industries, from retail and manufacturing to pharmaceutical and automotive.
Dr. Andreas Böhm, Founder and CEO of One Data, remarked on the importance of investor trust, support, and deep tech and software experience, which will undoubtedly boost the company's journey towards enabling as many businesses as possible to derive substantial value from their data. One Data's investors remarked on One Data's huge potential for expansion, given its solid customer portfolio, its experience solving data-related challenges, and the growing demand for data management solutions.
Ellie Ramirez-Camara is the News Editor at Data Phoenix, where she writes the daily AI newsdesk — covering model releases, research, funding rounds, and policy across the AI and machine-learning industry. She tracks announcements from labs and startups alike and distills them into clear, source-linked reporting for practitioners.
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