Datavillage

Datavillage provides a personal AI platform that enables organizations to use and combine consumers' personal data while ensuring privacy and user control. The company's core offering is a privacy-preserving personal data management solution that allows individuals to create and manage their own "digital twins" – virtual representations of their personal data stored in a Personal Data Store (PDS). These digital twins can be connected to private or public organizations, enabling companies to access valuable consumer insights while maintaining compliance with data privacy regulations.

The Datavillage platform consists of three main components: a privacy-preserving low-code data processing studio for organizations to test, deploy, and run algorithms; a personal data passport to integrate digital twins within different organizational channels; and a personal data cockpit that allows consumers to control access to their behavioral data and monitor its usage. The platform uses schema.org as the base ontology for data interoperability, complemented by other ontologies like musicontology for specific use cases.

By creating user-centric data ecosystems, Datavillage's approach helps companies reduce costs associated with GDPR compliance and data management. The platform enables organizations to process and access personal data without directly collecting it, allowing them to offer personalized services while maintaining user privacy. This method is particularly beneficial for local and regional players, as it allows them to combine their services and remain competitive against larger internet companies.

Key customers and partnerships

Datavillage has been working with media companies to implement its technology. The company has partnered with Radio-Télévision Belge de la Communauté Française (RTBF) and Vlaamse Radio- en Televisieomroeporganisatie (VRT) to validate the opportunity of using GDPR, data portability, and transparency as a means to increase the return on investment of their products and better serve their audiences. These collaborations aim to address the challenge of recommending niche quality content to individuals by leveraging user data in a privacy-preserving manner.