Nymiz, an emerging privacy-tech scaleup founded in 2020 by Óscar Villanueva Cañizares, secured €2 million in a Series A funding round led by cybersecurity-focused TIN Capital, alongside Swanlaab Venture Factory, Auriga Cyber Ventures, SWG Cyber & Defence Fund, and CDTI.
Nymiz’s AI-driven platform specialises in automating data anonymisation and pseudonymisation for unstructured documents, databases, and various data formats. This capability helps over 70 enterprise customers across finance, healthcare, legal, and public administration sectors use sensitive data securely while maintaining compliance with global privacy laws such as GDPR and HIPAA.
The technology replaces personal information in 102 languages with synthetic data or tokens, enabling organisations to unlock valuable insights without compromising privacy.
Óscar Villanueva, with prior innovation leadership experience in the energy sector at companies like Repsol, co-founded Nymiz to tackle the growing gap between data utility and privacy protection. “Our platform not only meets increasing regulatory demands but also anticipates the risks introduced by the growing use of generative AI,” he said.
Competitors in this space include companies like Privitar, BigID, and Privacera, yet Nymiz differentiates itself through a strong focus on unstructured data and AI-powered automation at scale. With this new investment, the startup aims to strengthen its operational foundation and accelerate international expansion in Europe, Latin America, and the U.S. by 2026.
TIN Capital, which recently launched its European Cyber Tech Fund V targeting cybersecurity Series A and B rounds, views Nymiz as a promising leader to watch. Bart Houlleberghs, a partner at TIN Capital, noted, “Nymiz’s deep tech and clear product-market fit align perfectly with our mission to empower Europe’s cybersecurity and privacy innovators.”
With privacy becoming a critical business enabler in the age of AI, Nymiz’s vision of embedding “Privacy as Infrastructure” could set new standards in responsible data use globally.
