Improve fraud detection with

The use of third-party Telco data improved Bank’s defaulter’s prediction model accuracy by 9% (€100M+ potential savings per year). allows Financial Institutions to improve fraud detection, credit risk assessments or generate new revenue streams. enables data collaborations with third-parties while preserving privacy as not data is shared. 

“The application of Artificial Intelligence through´s Privacy-Preserving platform will allow the prediction algorithm to improve the diagnosis without the need to share any patient data. This platform may enable testing of diagnosis and therapeutics for a group of diseases that are currently without specific treatment options.”

Juan María Nin

Former CEO of La Caixa and Banco Sabadell

Former General Manager of Banco Santander

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Improvement in the defaulter's predictive algorithm accuracy

0 M

Potential yearly financial impact in some of Spain's largests banks

Unlocking the Power of Collaboration in Insurance Branches 

Learn how empowers financial institutions to tap into the value of data scattered across diverse silos.

Elevate your Cross-Selling Capabilities with a Unique View of Clients 

Discover how you can supercharge your AI models by integrating data from various departments or companies and enhance cross-selling capabilities.

Predicting High-Value Customer Churn

Find out how to prevent the potential loss of high-value customers by training your AI models with

Real-Time Fraud Detection aids in real-time detection of fraudulent transactions to prevent losses and maintain customer trust.

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