Imagine you want to prove you are over 18 or have a degree without showing your whole ID card or diploma. This project builds a digital vault where you control exactly which pieces of information you share. It also lets companies train AI on private data without actually seeing the raw files, like looking at a blurred photo to find a pattern without knowing who is in the picture.
Identity theft and data leakages prevent companies from sharing sensitive personal data. This stops the growth of the data economy and prevents AI from analyzing siloed datasets.
A self-sovereign identity management system and a federated learning service using privacy-enhancing technologies (PETs).
If you are a clinical partner dealing with siloed patient records — this project developed a trustworthy federated learning service that allows AI-powered studies of datasets with privacy guarantees. This means you can find disease causes without moving sensitive data from its original source.
If you are a provider dealing with identity theft and leakages — this project developed a self-sovereign identity management service with ZKP-based selective disclosure. This allows citizens to share specific identity attributes in a privacy-preserving way.
If you are an institution dealing with the slow verification of diplomas across borders — this project developed AI-based document validation and electronic attestation. This enables students to quickly participate in education activities across Europe.
Based on available project data, no pricing or cost information is provided.
Yes, the project aims to develop highly scalable and reliable services for personal data within data spaces, following the EDC and Gaia-X specifications.
Based on available project data, specific licensing and IP terms are not listed.
The project is designed to provide privacy guarantees that exceed the requirements of GDPR, eIDASv2, and the EUDI wallet.
The project period runs from 2024-10-01 to 2027-09-30, suggesting availability toward the end of this window.
The consortium is well-balanced for commercialization, consisting of 10 partners. With 4 SMEs and 4 research organizations, there is a strong mix of academic innovation and business agility. The inclusion of 2 large entities and a clinical partner ensures the technology is tested against real-world enterprise and medical requirements.
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