On January 28, during the National Privacy Conference of ECP and Privacy First, the annual Dutch Privacy Awards will be presented. These Awards provide a podium for organizations that see privacy as an opportunity to distinguish themselves positively and make privacy-friendly business and innovation the norm.
This year, a large number of organizations again applied with high-quality entries to participate in the Dutch Privacy Awards. After recent pitches and Q&A sessions, the independent expert jury determined the following nominees, in no particular order:
Product: registervanverwerkings.com
By no means all government and semi-government organizations publish their register of processing operations on the Internet. And if they do, it is often in a poorly accessible and difficult to search form. With Registervanverwerkings.nl, Publiosa shows that it can be done better. Publiosa will not be deterred, and continues to work for transparency about personal data processing. The jury of the Dutch Privacy Awards therefore nominates Publiosa for the Privacy Awards.
Product: artificial (synthetic) data from BlueGen.ai
The National Register of Orthopedic Interventions (LROI) wants to make its data on various orthopedic treatments available for scientific research in a privacy-friendly way. The LROI therefore cooperates with Bluegen.ai, which converts the pseudonymized data in the registration into synthetic data. This makes the personal data used even less traceable, without compromising the validity of the research. The jury of the Dutch Privacy Awards appreciates the responsibility the LROI feels for the personal data in its care and the course it has chosen. The jury therefore nominates the Landelijke Registratie Orthopedische Interventies and Bluegen.ai for the Privacy Awards.
Product: Stimulansz Privacy Quartet
Stimulansz offers municipalities expertise in the social domain with practical training and advice. For its privacy awareness trainings, it has developed the Privacy Quartet. This super-simple intervention makes privacy literally tangible for participants, and the game format ensures that initial resistance disappears and participants are more open to dealing seriously with privacy and the AVG. The jury of the Dutch Privacy Awards therefore nominates Stimulansz for the Privacy Awards.
Product: NSK data workshop
The NSK (National Signaling Tool for Child Maltreatment) data workshop offers a privacy by design solution to an urgent societal challenge: early detection of child maltreatment. By processing sensitive patient data only in encrypted form with advanced cryptographic techniques, the data workshop enables hospitals to learn together and improve the quality of care without infringing on the privacy of children and families. The solution reinforces trust in data-driven care improvement by putting purpose limitation, consent and full control at the heart of the solution for participating institutions.
In addition, the NSK data workshop is distinguished by its innovative, scalable and sustainable nature. Roseman Labs ' technology enables in-depth analysis without access to traceable data, and connects seamlessly to existing research environments such as the Digital Research Environment (DRE). This allows healthcare institutions to independently collaborate and create comparable data workspaces within months. The application convincingly demonstrates that privacy protection and societal impact can reinforce each other and provides an inspiring example for secure and responsible data exchange within the future European Health Data Space.
The jury appreciates the combination of technical innovation, social relevance, practical applicability and exemplary value for other sectors working with highly sensitive data. The jury of the Dutch Privacy Awards therefore nominates the NSK data workshop for the Privacy Awards.
Product: Hallmark Ride Registration Systems
The Quality Mark for Trip Recording Systems offers business drivers (approx. 250,000 out of a total of 1.12 million) an independent and reliable trip administration system for the 500km statement. The foundation certifies about 80% of all suppliers on the market that meet the requirements of the tax authorities and guarantee privacy protection. Private trip data can only be viewed by the employee via a "digital safe", which means that employers cannot view private trips made with a company car.
The jury appreciates the practical implementation of privacy protection in a complex situation where employer and employee have to balance interests. Companies (automakers or car suppliers) can also benefit from the hallmark and thus link a balanced privacy protection for consumers/users as a USP to their product. The jury of the Dutch Privacy Awards therefore nominates Stichting Keurmerk Ritregistratiesystemen for the Privacy Awards.
Product: GPT-NL
GPT-NLis the first Dutch Large Language Model (LLM), developed with government funding byTNOin collaboration with the Netherlands Forensic Institute (NFI) and SURF. The model is trained on original, high-quality Dutch texts from government agencies, libraries, and publishers, rather than on data randomly scraped from the internet. GPT-NL is the first LLM worldwide that demonstrably complies with the GDPR through radicalprivacy by design: all personal data of non-public individuals is systematically removed or anonymized in advance. In addition, GPT-NL is fully transparent (as the only provider worldwide) about training sources, respects copyrights, and has safeguards in place on its output to ensure privacy rights. With its equally unique licensing model, in which content providers are fairly compensated, GPT-NL is not only a figurehead forprivacy by design, but also for respectful and legally correct handling of copyrights and the intellectual property of content providers. The model is suitable fortrust-criticalapplications in government, education, and healthcare sectors.
GPT-NL was the first to achieve a successful partnership with all publishers for LLM training data. GPT-NL's global impact is substantial at the crossroads where Europe must choose between Big Tech dependence or digital sovereignty and sovereign AIs. GPT-NL demonstrates that responsible, AVG-compliant, copyright-correct and transparent LLM development is indeed possible. In its "Apply AI Strategy" (October 2025), the European Commission identifies sovereign generative AI models as a fundamental production factor for Europe. Here GPT-NL acts as a blueprint for all of Europe and the world. The degree of complete transparency of all relevant data enables other organizations to adopt this approach. In doing so, GPT-NL sets a new international standard for ethical, correct, transparent and compliant AI development.
The jury of the Dutch Privacy Awards therefore nominates GPT-NL for the Privacy Awards.
The Awards jury consists of independent privacy experts from various industries, in their personal capacity:
During the National Privacy Conference on Jan. 28 (the European Privacy Day), all nominated projects will be presented to the public by the entrants. Then the Dutch Privacy Awards can be awarded in the following categories: 1) Technology (from companies for consumers), 2) Application (within an organization or business-to-business) and 3) Awareness (government, healthcare and education). There is also the possibility of an Incentive Award.
Privacy First Foundation organizes the Dutch Privacy Awards in collaboration with ECP, with support from The DPO Centre. Media partner is PONT Data & Privacy. Would you also like to become a sponsor of the Dutch Privacy Awards? Then contact Privacy First!
