Company Database - Feedzai

Fraud Prevention with Machine Learning

Feedzai is the market leader in fighting financial crime with AI. We’re coding the future of commerce with today’s most advanced risk management platform powered by big data and machine learning. Founded and developed by data scientists and aerospace engineers, Feedzai has one mission: to make banking and commerce safe. The world’s largest banks, processors, and retailers use Feedzai’s fraud prevention and anti-money laundering products to manage risk while improving customer experience.

Active since

Service provider type 

How it works
Feedzai's intelligent platform ingests and transforms multiple data streams and insights across any channel, then enriches the data to create hyper granular profiles. Feedzai's machine learning then works to process events and transactions in milliseconds and delivers explainable AI by adding a human-readable semantic layer to the underlying machine logic.

What problem does the company solve
Feedzai solves tomorrow's problems today. We bring cutting-edge Artificial Intelligence and Machine Learning technology to fight financial crime. Using highly scalable distributed technology, we safeguard trillions of dollars every single day while stopping criminals in their tracks. The product team is building next-generation visualisation, AI, big-data, and self-learning tech to solve this problem.

Industries/target markets
retail banks, issuing banks, acquiring banks, payment service providers, merchants

Business model/pricing
For more details, contact our sales team at

Nuno Sebastião, Pedro Bizarro, and Paulo Marques

Funding rounds and investors
series C funded by established VC companies such as Sapphire Ventures and Oak HC/FT, private stategic investments from major banks like Citi

Geographical coverage (operational areal)

on-premise, cloud, and hybrid

Software language
Our software is primarily written in Java. For our open APIs for machine learning, we support Python, R as well.

Software developement tools
To develop models, clients can use our Pulse software or an off-the-shelf tool such as JuypterLab, H2O or DataRobot.

When was the core technology developed

key partners include: Azul Systems, BioCatch, Capgemini, Cloudera, Credorax, Data Robot, Datastax, Deloitte, Emailage, Eversheds, First Data, Protiviti, Socure, Whitepages Pro, Zooz

Customers / Case studies
key customers include: Lloyds Bank, Citibank, Credorax, Cuscal, North American Bancard, PicPay, Raiffeisen Bank, Varo, First Data.
References are available upon request.

Datamation: Top 15 Machine Learning Companies 2018
Forbes: Forces Fintech 50 2018
Silicon Valley Bank: Most Innovative AI Startup 2017
Gartner: Representative Vendor in Gartner's Market Guide for Online Fraud Detection 2016 & 2018
Aite: Best in Class in Fraud Prevention and AML, Machine Learning Platform Vendors 2019
Forrester: One of the Most Significant Providers in the Forrester Wave: Enterprise Fraud Management 2016