Feedzai Techblog

A method that uses GenAI to create synthetic money laundering behaviour and trains a ML detection model without requiring labelled data.

By Sérgio Jesus, Inês Silva, Pedro Saleiro, Hugo Ferreira, Pedro Bizarro

In the world of financial services, the bank or financial institution’s relationship with the customer relies on digital trust, which is…

Introducing Explainable AI: how we make complex AI understandable and transparent, to help decision-makers understand and trust AI models.

We introduce LaundroGraph, a self-supervised system based on graph-neural networks to assist experts during anti money laundering…

Learn how to create screen reader accessible charts with our Data Visualization team using AutoVizuA11y

Learn how our UX team redesigned our rules experience, one of the key mechanisms to fight financial crime.

Do you want to understand how to unify multiple, complex products into a single UI? Then you found the right post!

In the second blog post about Feature Investigation, find out more about our visualizations to help data scientists analyze data drifts.

In this first blog post about Feature Investigation, learn about our highly efficient method for data drift detection and monitoring.

Find out about Altair themes and a new Python package for Data Visualization with Altair.

A story on how I became a UX Designer Intern and spent my summer working on rewarding projects. Learn about my journey from start to…

Learn all about Payment Service Providers and how they can manage the risk they take.

Data scientists and engineers frequently run their work in non-scalable environments. How does auto scaling improves efficiency?