Imagine a digital vault where you keep your data, but you can let others use it without ever giving away the key. It uses a smart system that recognizes you by how you behave, not just a password, to keep hackers out. Plus, it's designed to run on very little electricity so it doesn't hurt the planet.
Companies struggle to share data across sectors due to a lack of trust, fear of losing data ownership, and high energy costs associated with AI and blockchain.
An integrated platform featuring a web and mobile app, a self-sovereign identity solution, and energy-efficient AI models for data analytics.
If you are a digital banking provider dealing with strict privacy laws and identity theft — this project developed a self-sovereign identity and behavioral authentication system that ensures only the real owner accesses sensitive financial data.
If you are a logistics fleet operator dealing with inefficient data silos across partners — this project developed a cross-sector data sharing platform that improves productivity while keeping data ownership secure.
If you are an online marketplace dealing with high energy costs for AI operations — this project developed energy-efficient AI model training and execution to reduce the carbon footprint of data analytics.
Based on available project data, no specific pricing or cost models are mentioned; the project was funded by an EU contribution of EUR 10,444,121.
Yes, the project aims for a TRL-6 level and involves 25 industry partners, indicating a design intended for industrial scale across six diverse use cases.
Based on available project data, the specific licensing terms are not listed, but the project focuses on maintaining data ownership through self-encryption and smart contracts.
Yes, the platform is designed to be compliant, transparent, and accountable, specifically utilizing privacy-preserving protocols and eIDAS-based onboarding.
Based on available project data, the integration timeline is not specified, but it is designed to work within the GAIA-X and EOSC ecosystems.
The consortium is heavily industry-driven, with 25 industrial partners (60% of the group) and 10 SMEs, suggesting a strong focus on commercial viability. With 42 partners across 15 countries, the project has significant cross-border reach and a high capacity for testing in real-world business environments.
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