Imagine a digital farmers' market where instead of vegetables, people trade data. Instead of one big company owning the whole market and taking all the control, everyone keeps their own data in their own 'stall' and only shares it when they agree. It uses a digital ledger to make sure every trade is honest and a smart cleaning system to ensure the data isn't 'spoiled' before it's sold.
Current data marketplaces are too centralized, creating trust issues and privacy risks. Most data-sharing projects fail financially because they lack sustainable revenue models and high-quality, interoperable data.
A decentralized data marketplace platform including a distributed registry, Green AI tools for data cleaning, and a trust layer using blockchain and decentralized identities.
If you are a city agency dealing with fragmented urban traffic data — this project developed a Mobility Digital Twin that allows secure, decentralized sharing of traffic flows. This ensures data stays local while providing insights for better city planning.
If you are an AI developer dealing with high energy costs and poor data quality — this project developed Green AI techniques that reduce energy consumption by 20–30%. This allows you to train distributed models without degrading performance.
If you are a data provider dealing with the fact that only 15% of sharing initiatives have viable revenue models — this project developed a decentralized registry and trust system. This enables a more sustainable business model by ensuring data sovereignty and quality.
Based on available project data, specific pricing for the platform is not mentioned, but the project notes that most current initiatives fail because only 15% have viable revenue models, which SEDIMARK aims to improve.
Yes, the project was validated through four operational pilots and reached TRL-8, indicating it is ready for industrial-scale application.
Based on available project data, the specific licensing terms are not provided, but the project emphasizes the use of open source and decentralized governance via Distributed Ledger Technology.
The system is designed to align with the Data Governance Act, Data Act, and AI Act, using privacy-by-design, anonymization, and purpose limitation.
It uses semantic interoperability based on common ontologies, Smart Data Models, and NGSI-LD to allow seamless linking of heterogeneous data from multiple sources.
The consortium is heavily industry-weighted with 6 industrial partners (46% ratio), including 2 SMEs, which suggests a strong focus on commercial viability. Led by Atos IT Solutions and Services Iberia, the group spans 8 countries and combines 3 universities and 2 research centers to bridge the gap between academic AI research and industrial data deployment.
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Contact us to explore licensing the SEDIMARK decentralized registry for your data ecosystem.
