Every day, vast amounts of digital data is being generated on the Internet. This trend is increasing exponentially. A large amount of this data contains personal information and is publicly accessible. This data is generally distributed among many different data repositories (Social Media, Blogs, News Articles, etc.). Having access to a single repository does usually not provide any useful information, however combining all those data sources for one unique individual allows to create a public digital profile that includes commercially exploitable information. The AI-based technology that will be tested during this project allows to reliably match various public data-sources for any given person to compute a comprehensible digital profile. There are multiple approaches on how such a technology can be commercialized. A market study has been conducted as part of a Pathfinder project. The outcome suggests to start with a Business to Business (B2B) model as many companies are relying on personal data to provide new services. In this project we will therefore closely collaborate with a local insurance company, that would like to rely on digital profiles to propose a new kind of cyber-insurance to their customers.