More transparent and fair financing system.

The Belender project brings greater transparency and equity to the financing system, with the goal of improving overall financial stability. This is essential in times of economic uncertainty, where opacity in financial data can generate risks and imbalances in the system.

Eurecat’s IT&OT Security Unit focuses on identifying the most promising blockchain technologies and existing SSI identity wallet solutions that can be adapted to the project’s needs. Additionally, it investigates critical aspects of cybersecurity related to the selected blockchain technology, such as the security of smart contracts and vulnerabilities of the wallets.

Another important area of work for Eurecat is the analysis of the performance and effectiveness of machine learning models for non-payment prediction, overseen by the Big Data & Data Science Unit. This includes the study of advanced techniques such as Gradient Boosted, deep neural networks, and Autoencoders.

Furthermore, Eurecat works on identifying explainable AI (xAI) techniques to interpret and explain black box models, increasing error control and establishing relationships between variables to improve the understanding of their results.

The collaboration between ALL4LEND and Eurecat in this project not only promises innovations in the field of digital financing but also a significant impact on long-term financial stability.

General details


Belender – Open data platform to optimize risk analysis

Project reference


Programme and call for tender

Project funded by the Spanish Ministry of Science, Innovation and Universities through the call “R&D&I Projects in Public-Private Collaboration”, State Program to Promote Scientific-Technical Research and its Transfer, of the State Plan for Scientific, Technical and Innovation Research 2021-2023, within the framework of the Recovery, Transformation and Resilience Plan

Related SDGs