QUICK FACTS

HEAD OFFICE

1875 South Grant Street
Suite 710
San Mateo 94402
United States

COUNTRIES SUPPORTED

Portugal, United States

LANGUAGES OFFERED

English, Portuguese

category

CATEGORIES

Big Data Analytics, Machine learning

INDUSTRIES

Consumer goods, E-commerce, Financial Services, Media and entertainment, Retail, Travel, leisure and hospitality

PRICING

Subscription

High, per transaction basis

SIZE OF CUSTOMERS

Large, Small, Medium

 
Founders:
 
Year founded:March 2010
Funding received: $ 4.5 million
Investors:
 
#Employees:34 employees
Awards won:Gartner Cool Vendor Award
 

Overview

FeedZai is a European Big Data Startup that uses machine learning and artificial intelligence to detect and combat fraud in commerce transactions in real time. With the many data breaches that have occurred recently, where vast amounts of credit card details have been stolen, FeedZai targets an area that costs organisations a lot of money. In the omni-channel world that we live in, where consumers seamlessly buy products across digital and physical channels using different technologies, it has become difficult for organisations to detect fraudulent actions.

FeedZai claims that they are capable of detecting fraud 10 days earlier than other solutions, with more accuracy and lower false rates. Using a combination of predictive models and analysing consumer behaviour, they create profiles for customer, location, merchant and POS devices, including a three-year history of all data and updating all profiles after each transaction. Using such profiles they want to understand how consumers behave, online and offline, in order to protect them from fraud. Next to that they help service providers with continuous merchant underwriting using these profiles and can better predict unfunded chargebacks or merchant insolvency.

FeedZai was founded in 2010 by Nuno Sebastião, a former product manager for the ESA, Pedro Bizarro, a former adjunct visiting professor at Carnegie Mellon University, and Paulo Marques, also a former adjunct professor at Carnegie Mellon University. Currently they have received $ 4.5 million in funding, from some well-known investors like, among others, SAP Ventures, Data Collective and Novabase Capital. Gartner awarded them the Cool

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