SciTransfer
FAME · Project

Decentralized Data Marketplace for Secure and Energy-Efficient Embedded Finance Trading

digitalPilotedTRL 6

Imagine a digital farmers' market, but instead of vegetables, people trade financial data and AI models. Instead of one big company owning the market, it's spread across many secure locations so no one person has total control. It also uses a smart system to make sure the computers don't waste electricity while processing the data.

By the numbers
1000+
data assets in catalog
12
interconnected data marketplaces
7
implemented pilots
37
total partners
The business problem

What needed solving

Centralized cloud marketplaces limit the data economy due to security risks and lack of trust. Companies struggle to trade financial data securely while complying with strict regulations and managing high energy costs for AI.

The solution

What was built

A federated data marketplace including a blockchain-based trading system with NFT support, energy-efficient AI analytics tools, and regulatory compliance mechanisms.

Audience

Who needs this

Fintech startupsInvestment banksCloud infrastructure providersAI-driven financial analytics firms
Business applications

Who can put this to work

Fintech
SME
Target: Digital Lending Platform

If you are a digital lending platform dealing with fragmented credit data — this project developed a federated data marketplace that allows you to trade and price data assets using blockchain and NFTs. This ensures secure, regulatory compliant exchange across multiple cloud providers.

Banking
enterprise
Target: Retail Bank

If you are a retail bank dealing with high energy costs for AI analytics — this project developed energy-efficient analytics and Explainable AI. This allows you to run trusted financial models with lower power consumption and clearer results.

Cloud Services
mid-size
Target: Cloud Infrastructure Provider

If you are a cloud provider dealing with data silos and strict EU regulations — this project developed a federated cloud management infrastructure. This enables interoperable data exchange in line with GAIA-X standards.

Frequently asked

Quick answers

How is the data priced and traded?

The project implements decentralized trading and pricing schemes using blockchain tokenization, including support for NFTs to track data asset value. Based on available project data, these are managed via smart contracts.

Can this be scaled to a large number of assets?

Yes, the project aims to populate the marketplace catalog with a critical mass of 1000+ data assets. It is designed to interconnect with more than 12 existing data marketplaces.

Who owns the intellectual property or licensing?

Based on available project data, the specific licensing terms are not listed, but the project involves 37 partners including 28 industry entities and 14 SMEs who contribute to the development.

How does it handle financial regulations?

The project includes specific deliverables for regulatory compliance tools and mechanisms to ensure secure, interoperable data exchange aligned with European initiatives like GAIA-X.

When will the system be ready for use?

The project period runs from 2023-01-01 to 2025-12-31, with final versions of the integrated marketplace and prototypes expected by the end of this term.

How does it integrate with existing cloud setups?

It uses a federated cloud management infrastructure and a Federated Data Access Control (FDAC) to work across multiple cloud-based data providers.

Consortium

Who built it

The consortium is heavily industry-driven, with 28 industrial partners (76% ratio) and 14 SMEs, indicating a strong focus on commercial viability. With 37 partners across 15 countries, the project has a broad European and international reach, combining the academic rigor of 4 universities and 4 research centers with practical market expertise.

How to reach the team

Contact GFT ITALIA SRL for technical inquiries regarding the FAME platform.

Next steps

Talk to the team behind this work.

Contact us to explore how to integrate FAME's energy-efficient analytics into your fintech stack.