Feedzai Poised to Cross $800 Million in Daily Payments Volume in 2015

September 30, 2014

Feedzai Poised to Cross $800 Million in Daily Payments Volume in 2015

San Mateo, Calif. – Sept. 30, 2015 – Feedzai, a data science company that uses realtime, machine-based learning to analyze big data and minimize risk in the financial industry, announces that its algorithms are poised this year to analyze $800 million in purchases in real-time each day. Feedzai’s technology gets even smarter with each transaction it evaluates, helping merchants, banks, payment processors and acquirers to reduce the risk of fraud in omni-channel commerce. The company celebrates additional growth milestones simultaneously; bringing on two executive hires, and opening an office in New York City dedicated to customer support.

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“Most of the world’s data has been created in the last two years, yet remains untapped. Feedzai’s solution gives financial institutions the tools they need to transform risk management into real-time data science, and our machine learning algorithms are hard at work processing millions in purchases to ensure that customers’ data and transactions are safe,” said Nuno Sebastiao, CEO of Feedzai. “As with any startup’s growth, we’re ensuring that our technology continues to mitigate risk and losses associated with fraud on a greater scale, while growing our team with the industry’s best talent, and supporting our customers at any time. We’re excited to enter Q4 and tackle 2016 and beyond.”

Feedzai, headquartered in San Mateo, Calif., with additional technology development offices in Europe, has also opened an office in New York to house its East Coast customer support team. To ensure Feedzai’s worldwide customers have support around the clock, no matter the time zone, the company has customer support teams lined up around the globe. Feedzai is hiring in the New York City area; to see the job postings, click here.

With accelerating growth over the past two years since its launch in the U.S. market, Feedzai has bulked up its team to help extend the reach of its evolving platform both domestically and worldwide. Phong Q. Rock joins Feedzai as senior vice president of global business development and strategic alliances. With more than two decades of experience collaborating and innovating alongside leading banks, financial services companies and high-tech enterprises on priority initiatives, Rock and his team will work closely with partners and strategic clients across the payments ecosystem to enable the Feedzai solution platform and new use cases to downstream customers and end users. Before joining, he was vice president of strategic clients and innovation at 2 Experian. Earlier he led Accenture’s Digital practice in Silicon Valley where he drove growth initiatives in mobility, decision analytics and big data for Financial Services and High-Tech. Additionally, he served as head of global markets for mPayments pioneer Obopay, spearheading the company’s expansion into Europe, Africa and Latin America. His career also includes senior roles at Visa, Wells Fargo Bank and JP Morgan Chase. Every year, billions of dollars are lost to fraud in the e-commerce world.

To accelerate Feedzai’s expansion into the Cloud and SaaS ecommerce market, Sandeep Grover is joining as the senior vice president of global e-commerce . Prior to Feedzai, Grover was the head of GoDaddy’s site building businesses where he led the launch of a new ecommerce platform from grounds up for small and medium businesses. Earlier in his career, Grover spent several years at Amazon.com where he led the trust and safety teams; his key initiatives included taking a machine learning based fraud detection product to market, and helping build Amazon’s reputation as one of the safest and trusted places to shop online.

Recently, the company also announced updates to its software platform, providing improved risk management and fraud prevention solutions beyond transaction authorization, and a partnership with Socure, the industry leader in real-time online identity verification solutions. For more information, visit www.feedzai.com.

 

About Feedzai:
Feedzai is the world’s first RiskOps platform, protecting people and payments with a comprehensive suite of AI-based solutions designed to stop fraud and financial crime. Feedzai is trusted by leading financial institutions to manage critical risk and compliance processes, safeguarding trillions of dollars of transactions while improving the customer experience and protecting the privacy of everyday users. For more information, visit feedzai.com.

Media Contacts:
Feedzai [email protected]


Feedzai Honored as Silver Stevie® Award Winner in 2014 American Business Awards

September 22, 2014

Feedzai Honored as Silver Stevie® Award Winner in 2014 American Business Awards

San Mateo, CA – September 22, 2014 – Feedzai, a company that uses data science and behavioral analysis to prevent fraud in omnichannel commerce, was presented with a Silver Stevie® Award in the Most Innovative Company of the Year category in The 12th Annual American Business Awards on September 12.

The American Business Awards are the nation’s premier business awards program. All organizations operating in the U.S.A. are eligible to submit nominations – public and private, for-profit and non-profit, large and small. Nicknamed the Stevies for the Greek word for “crowned,” the trophies were presented to winners during a gala banquet on Friday, September 12, at the Palace Hotel in San Francisco. More than 250 nominees and their guests attended for the presentation of new product awards, website awards, app awards, and more.

More than 3,300 nominations from organizations of all sizes and in virtually every industry were submitted this year for consideration in a wide range of categories, including Most Innovative Company of the Year, Management Team of the Year, Best New Product or Service of the Year, Corporate Social Responsibility Program of the Year, and Executive of the Year, among others. Feedzai won Silver in the Most Innovative Company of the Year category for companies with 100 employees or less.

“We are honored to win a Stevie Award for innovation, as we’ve built our platform from scratch using modern technology and focused it on the age-old problem of fraud management, which has plagued the industry from the beginning of commerce,” said Nuno Sebastiao, CEO of Feedzai. “We congratulate all of the winners and nominees in both our category and the awards program overall.”

Feedzai Fraud Prevention That Learns™ technology fuses big data and machine learning to allow analysts to predict and prevent electronic payment loss in real time based on behavioral analysis and understanding of the way consumers behave when they make purchases online, in-store, or from mobile devices. The software uses big data, including mobile and social data streams, to create deep learning profiles for each customer, merchant, location or POS device, with up to a three-year history of data behind it, helping to mitigate risk, guard every transaction and preserve the customer experience.

Stevie Award winners were selected by more than 240 executives nationwide who participated in the judging process.

“We’re delighted to recognize so many innovative companies, new products, technical achievements, and technology executives this year,” said Michael Gallagher, president and founder of the Stevie Awards. “We congratulate all of the Stevie Award winners, and thank them for the inspiration their achievements have stimulated.”

Details about The American Business Awards and the lists of Stevie Award winners who were announced on September 12 are available at www.StevieAwards.com/ABA.

 

About the Stevie Awards

Stevie Awards are conferred in six programs: The American Business Awards, the German Stevie Awards, The International Business Awards, the Stevie Awards for Women in Business, the Stevie Awards for Sales & Customer Service, and the Asia- Pacific Stevie Awards. Honoring organizations of all types and sizes and the people behind them, the Stevies recognize outstanding performances in the workplace worldwide. Learn more about the Stevie Awards at www.StevieAwards.com.

About Feedzai:
Feedzai is the world’s first RiskOps platform, protecting people and payments with a comprehensive suite of AI-based solutions designed to stop fraud and financial crime. Feedzai is trusted by leading financial institutions to manage critical risk and compliance processes, safeguarding trillions of dollars of transactions while improving the customer experience and protecting the privacy of everyday users. For more information, visit feedzai.com.

Media Contacts:
Feedzai [email protected]


Feedzai Partners with Azul Systems: Zing to Enable Faster Processing of Massive Data Sets to Ensure Delivery of Fraud Analysis and Protection in Real-Time

September 10, 2014

Feedzai Partners with Azul Systems: Zing to Enable Faster Processing of Massive Data Sets to Ensure Delivery of Fraud Analysis and Protection in Real-Time

Cassandra Summit 2014 and San Mateo/Sunnyvale, Calif. – September 10, 2014 Feedzai, a data science company that uses real-time, machine-based learning to analyze big data to make commerce safe, and Azul Systems Inc. (Azul), the award- winning leader in Java runtime solutions, today announced a commercial partnership under which Feedzai is now an Azul Certified ISV partner. Through the partnership, Feedzai will use Zing®, Azul’s innovative Java Virtual Machine (JVM) as part of its Feedzai Fraud Prevention That Learn s™ software to provide ultra-fast processing of big data.

“The real-time analysis of data to prevent fraud in the financial industry is key to predicting and preventing fraud,” said Nuno Sebastiao, Chief Executive Officer of Feedzai. “It’s almost impossible to have ultra-low latencies—in the range of 5-10 milliseconds with a standard JVM—and our customers demand that. Azul powers the largest banks in the world and with peak load demands of up to 50,000 transactions per second, Zing will help ensure that we can deliver the best that artificially intelligent machines can offer.”

Zing is designed for enterprise applications and workloads that require any combination of large memory, high transaction rates, low latency, consistent response times and high sustained throughput. It is the only JVM that eliminates Java Garbage Collection (GC) pauses and is used by many of the world’s largest financial services institutions.

“We are happy to welcome Feedzai into our ISV partner program, and know that Zing will be a great fit for them as they continue to work with large and growing amounts of big data,” said Scott Sellers, CEO of Azul Systems. “With Zing, big data solutions can deliver consistent low-latency performance even with massive data sets, meeting the needs of ecommerce and a broad array of other payment solutions.”

Feedzai Fraud Prevention That Learns™ technology fuses big data and machine learning to allow analysts to predict and prevent electronic payment loss in real time based on behavioral analysis and understanding of the way consumers behave when they make purchases, online, in-store or from mobile devices. The software uses big data, including mobile and social data streams, to create deep learning profiles for each customer, merchant, location or POS device, product, with up to a three-year history of data behind it. This data helps acquirers, issuers and retailers mitigate risk, guard every transaction and preserve the customer experience.

To learn more about Feedzai, visit www.feedzai.com. To request a free evaluation of Zing, visit http://www.azul.com/trial.

 

About Azul Systems

Azul Systems, the industry’s only company exclusively focused on Java and the Java Virtual Machine (JVM), builds fully supported, standards-compliant Java runtime solutions that help enable the real time business. Zing is a JVM designed for enterprise Java applications and workloads that require any combination of low latency, high transaction rates, large working memory, and/or consistent response times. Zulu is Azul’s freely available open source JVM based on OpenJDK, and Azul provides high-quality commercial support options with its Zulu Enterprise offering. For additional information, visit: www.azul.com.

Azul Systems, the Azul Systems logo, Zing, and Zulu are registered trademarks, and ReadyNow! is a trademarks of Azul Systems Inc. Java and OpenJDK are trademarks of Oracle Corporation and/or its affiliated companies in the United States and other countries. All other trademarks are the property of their respective holders.

About Feedzai:
Feedzai is the world’s first RiskOps platform, protecting people and payments with a comprehensive suite of AI-based solutions designed to stop fraud and financial crime. Feedzai is trusted by leading financial institutions to manage critical risk and compliance processes, safeguarding trillions of dollars of transactions while improving the customer experience and protecting the privacy of everyday users. For more information, visit feedzai.com.

Media Contacts:
Feedzai [email protected]

For Azul Systems
Howard Green VP Marketing
+1 (0) 650 230 6616
[email protected]
Twitter: @azulsystems

Darren Cottom Global PR Azul
+44 (0) 1295 713172
+44 (0) 7713 652216
[email protected]
Twitter: @darrencottom


Feedzai Named a Startup to Watch in Big Data 50 Report

August 26, 2014

Feedzai Named a Startup to Watch in Big Data 50 Report

San Mateo, Calif. – August 26, 2014 – Feedzai, a data science company that uses real-time, machine-based learning to analyze big data to prevent fraud, today announced that it was named to the Big Data 50 report, put out by Sandstorm Media. Feedzai, which was founded by aerospace engineers and data scientists, analyzes big data in real-to detect patterns in behaviors and financial transactions to anticipate and detect fraud on any shopping channel earlier than other solutions in the marketplace.

“It is an honor to be a part of the Big Data 50 report,” says Nuno Sebastiao, chief executive officer of Feedzai. “Big data is driving businesses and the economy, and advances will continue over the next several years. Feedzai is staying ahead of the curve with these technological advancements, helping retailers and financial institutions fight fraud using big data.”

“The digital security status quo is far too reactive. As soon as security providers figure out how to stop one type of attack, the bad guys switch up their tactics, and we’re right back where we started,” said Jeff Vance, editor of Startup50.com and author of the Big Data 50. “I’ve been waiting for a startup to apply machine learning and data-driven insights to the security process, and Feedzai is doing just that. Finally.”

To access the full report, visit http://info.feedzai.com/feedzai-big-data- 50.

Feedzai Fraud Prevention That Learns™ technology fuses big data and machine learning to allow analysts to predict and prevent electronic payment loss in real time based on behavioral analysis and understanding of the way consumers behave when they make purchases, online, in-store or from mobile devices. The software uses big data, including mobile and social data streams, to create deep learning profiles for each customer, merchant, location or POS device, product, with up to a three-year history of data behind it. This data helps acquirers, issuers and retailers mitigate risk, guard every transaction and preserve the customer experience.

To learn more about Feedzai, visit www.feedzai.com

 

About Feedzai:
Feedzai is the world’s first RiskOps platform, protecting people and payments with a comprehensive suite of AI-based solutions designed to stop fraud and financial crime. Feedzai is trusted by leading financial institutions to manage critical risk and compliance processes, safeguarding trillions of dollars of transactions while improving the customer experience and protecting the privacy of everyday users. For more information, visit feedzai.com.

Media Contacts:
Feedzai [email protected]


Feedzai Hires Todd Clark As New Head of Global Sales and Relationship Management

August 12, 2014

Feedzai Hires Todd Clark As New Head of Global Sales and Relationship Management

San Mateo, Calif. – August 12, 2014 – Feedzai, a data science company that uses real- time, machine-based learning to analyze big data to prevent fraud, today announced that C. Todd Clark has joined its executive team as head of global sales and relationship management. With more than 20 years of sales and client relations experience in the financial sector, Clark is prepared to build out and lead Feedzai’s North American sales team and will be instrumental in continuing to grow the business in this region.

“We are happy to welcome Todd to Feedzai, where he will lead our rapid expansion into the retail and financial institutions market here in North America,” said Nuno Sebastiao, CEO of Feedzai. “Todd’s vast experience in sales and management, coupled with his passion for working with emerging startups is a perfect match with our customers who also desire innovation and disruption of the status quo.”

Clark most recently served as senior executive vice president, sales and relationship management, at Cardtronics, where he was responsible for managing the retail and financial institution customer base, including 7-Eleven, CVS, Chase, and Bank of America. Prior to Cardtronics, Clark served as Senior Vice President/General Manager, Strategic Clients for First Data Corporation, a provider of e-commerce and payment solutions. Clark began his career as a principal at Core Data Resources, then growing the business from less than 100 ATMs in 1996 to over 35,000 in 2002. There, Clark led the company to the rank of second largest ATM processor in the U.S. Clark is a graduate of The University of Texas at Austin with a Bachelor of Arts in Economics, Minor in Math.

Feedzai Fraud Prevention That Learns™ technology fuses big data and machine learning to allow analysts to predict and prevent electronic payment loss in real time based on behavioral analysis and understanding of the way consumers behave when they make purchases, online, in-store or from mobile devices. The software uses big data, including mobile and social data streams, to create deep learning profiles for each customer, merchant, location or POS device, with up to a three-year history of data behind it. This data helps acquirers, issuers and retailers mitigate risk, guard every transaction and preserve the customer experience no matter the channel.

Feedzai started in Europe, and is also available in North and South America, Europe, and Africa. The company has been working with a number of customers, including Coca- Cola, Logica, Vodafone, Ericsson, Horizon Wind Energy, Servebase Credit Card Solutions,

Securenet and Yoco. The company is backed by SAP Ventures, big data investment firm Data Collective, and other international investors for a total of $4.3 million.

To learn more about Feedzai, visit www.feedzai.com

 

About Feedzai:
Feedzai is the world’s first RiskOps platform, protecting people and payments with a comprehensive suite of AI-based solutions designed to stop fraud and financial crime. Feedzai is trusted by leading financial institutions to manage critical risk and compliance processes, safeguarding trillions of dollars of transactions while improving the customer experience and protecting the privacy of everyday users. For more information, visit feedzai.com.

Media Contacts:
Feedzai [email protected]


Feedzai Launches App on Shopify and Bigcommerce Platforms

August 5, 2014

Feedzai Launches App on Shopify and Bigcommerce Platforms

San Mateo, Calif. – August 5, 2014 – Feedzai, a data science company that uses real- time, machine-based learning to analyze big data to prevent fraud, today announced that it has developed ecommerce apps for the Shopify and Bigcommerce platforms. The only fraud prevention solution available for true omnichannel commerce, Feedzai’s fraud prevention software is now available on two leading ecommerce platforms in order to help online retailers identify potentially fraudulent transactions.

The Feedzai apps on Shopify and Bigcommerce provide online retailers with real- time information to determine the legitimacy of an order. Users of the app see transactions flagged for suspected fraud. Users can dive deeper to see a list of reasons to block or allow the transaction, allowing the retailer to decide which transactions to accept or decline. Retailers have access to the same bank-grade risk engine used by payment networks and financial institutions.

“Fraud is crossing channels where data breached from stores is then used to exploit ecommerce channels and vice versa,” said Nuno Sebastiao, chief executive officer from Feedzai. “We see that 68% of cross-channel fraud starts online before migrating instore, so want to give all ecommerce retailers access to the tools necessary to help them protect their business. The growth of ecommerce fraud is disrupting the status quo for everyone, on or offline.”

The new Feedzai apps feature the following:

  • Behavioral analysis, IP geo-location, device ID recognition, disposable emails, among other criteria, to determine the risk associated with each sales order
  • Simple user interface scores each order in real-time
  • List of human-friendly reasons to block or allow a transaction, helping retailers to decide to accept or reject an order
  • Street level maps that shows the location of the IP address from which the transaction was created, which is cross-checked with the shipping address
  • Email reports that detail the transaction summary for a set time period (day, week, etc.)
  • Ease of installation; retailers are up and running just by installing the Feedzai app

Feedzai Fraud Prevention That Learns™ technology fuses big data and machine learning to allow analysts to predict and prevent electronic payment loss in real time based on behavioral analysis and understanding of the way consumers behave when they make purchases, online, in-store or from mobile devices. The software uses big data, including mobile and social data streams, to create deep learning profiles for each customer, merchant, location or POS device, product, with up to a three-year history of data behind it. This data helps acquirers, issuers and retailers mitigate risk, guard every transaction and preserve the customer experience.

Feedzai started in Europe, and is also available in North and South America, Europe, and Africa. The company has been working with a number of customers, including Coca-Cola, Logica, Vodafone, Ericsson, Horizon Wind Energy, Servebase Credit Card Solutions and Yoco. The company is backed by SAP Ventures, big data investment firm Data Collective, and other international investors for a total of $4.3 million.

To learn more about Feedzai, visit www.feedzai.com

 

About Feedzai:
Feedzai is the world’s first RiskOps platform, protecting people and payments with a comprehensive suite of AI-based solutions designed to stop fraud and financial crime. Feedzai is trusted by leading financial institutions to manage critical risk and compliance processes, safeguarding trillions of dollars of transactions while improving the customer experience and protecting the privacy of everyday users. For more information, visit feedzai.com.

Media Contacts:
Feedzai [email protected]


Feedzai and Azul Systems Deploy Real-Time Fraud Detection Solution At Global Leader In Payment Technology

June 24, 2014

Feedzai and Azul Systems Deploy Real-Time Fraud Detection Solution At Global Leader In Payment Technology

San Mateo and Sunnyvale, California, June 23, 2015Feedzai, a big data science company that uses real-time, machine based learning to prevent fraud, and Azul Systems, the award-winning leader in Java runtime solutions, today announced their first joint customer win in the financial services sector following their recent commercial engagement.

News highlights:

  • Feedzai and Azul Systems announce first joint customer win with leading payment technology solutions provider
  • Integrated solution provides the payment and ecommerce sectors with ultra-fast real-time fraud detection processing

The solution deployed at one of the world’s leading providers of payment technologies combines Zing®, Azul’s Java Virtual Machine (JVM) designed for systems that require consistent low latency and high scalability, and Feedzai’s Fraud Prevention That Learns™ software. When integrated, the two technologies provide the customer with a fraud prevention solution for omnichannel commerce with ultra-fast processing of big data and dramatic reductions in transactional latencies.

Feedzai Fraud Prevention That Learns™ software fuses big data and machine learning to allow analysts to predict and prevent electronic payment loss in real time based on behavioral analysis and understanding of the way consumers behave when they make financial transactions, in person, online or from mobile devices. Azul Zing provides consistent low-latency with high throughput and supports large in-memory datasets without performance penalties. It eliminates the operational interruptions and response time outliers often experienced by Java-based trading, risk and compliance applications in financial markets.

“The global financial marketplace is evolving at a rapid pace and institutions are focusing investment on technologies which provide immediate commercial advantage,” said Scott Sellers, CEO and President of Azul Systems. “Zing is a great fit for ecommerce and payment technology providers running high volume, mission critical systems – it is the only JVM designed to deliver high sustained throughput combined with consistent low latency.”

“Ultra low latencies are of paramount importance to many of our customers, which is almost impossible to achieve if you use a standard JVM,” said Nuno Sebastiao, Chief Executive Officer of Feedzai. “Fraud Prevention That Learns™ combined with Azul Zing can handle peak load demands of up to 50,000 transactions per second, which guarantees that we can deliver the best that artificially intelligent machines can offer.”

Request a free evaluation copy of Zing at www.azul.com/trial. To learn more about Feedzai, visit www.feedzai.com.

# # # #

About Azul Systems

@azulsystems

Azul Systems, the industry’s only company exclusively focused on Java and the Java Virtual Machine (JVM), builds fully supported, certified standards-compliant Java runtime solutions that help enable the real time business. Zing is a JVM designed for enterprise Java applications and workloads that require any combination of low latency, high transaction rates, large working memory, and/or consistent response times. Zulu is Azul’s certified, freely available open source build of OpenJDK with a variety of flexible support options, available in configurations for the enterprise as well as custom and embedded systems. For additional information, visit: www.azulsystems.com.

About Feedzai

Every day, the modern world produces petabytes of data, and Feedzai enables businesses to accurately analyze this information to keep their customers’ data and transactions safe at any place or moment in time. Feedzai’s machine learning platform transforms the management of risk and fraud into a realtime decision science to help payment providers, banks and retailers prevent fraud in omnichannel commerce. Customers use Feedzai’s Fraud Prevention That Learns™ software to predict and prevent payment loss when shopping in store, online or via mobile devices. For additional information, visit https://feedzai.com.

Azul Systems, the Azul Systems logo, Zulu and Zing are registered trademarks, and ReadyNow! is a trademark of Azul Systems Inc. Java and OpenJDK are trademarks of Oracle Corporation and/or its affiliated companies in the United States and other countries. All other trademarks are the property of their respective holders.

 

About Feedzai:
Feedzai is the world’s first RiskOps platform, protecting people and payments with a comprehensive suite of AI-based solutions designed to stop fraud and financial crime. Feedzai is trusted by leading financial institutions to manage critical risk and compliance processes, safeguarding trillions of dollars of transactions while improving the customer experience and protecting the privacy of everyday users. For more information, visit feedzai.com.

Media Contacts:
Feedzai [email protected]


Feedzai Launches Fraud Prevention Platform in U.S.

January 29, 2014

Feedzai Launches Fraud Prevention Platform in U.S.

San Mateo, Calif. – Jan. 29, 2014 – Feedzai, a data science company that uses real-time, machine-based learning to prevent fraud, today announced it is now available in the U.S. market. The only fraud prevention solution available for omnichannel commerce, Feedzai was founded by aerospace engineers and data scientists who have found a way to analyze and use big data to anticipate and earlier detect fraud.

“As the 2013 retail season just closed, the discussion of fraud in omnichannel commerce bubbled to the surface due to a number of data breaches. Consumers are buying across physical and digital channels and it is important for fraud prevention systems to work across all technologies, from legacy systems to new mobile card readers,” said Nuno Sebastiao, CEO of Feedzai. “Online sales are still hovering around six percent of all retail sales, and recent events have shown that fraud is not just an online problem. Our software has the ability to analyze data from any platform to detect breaches by as much as ten days earlier than other solutions and expose more fraud cases, all with lower false alarms.”

Feedzai started in Europe, and is also available in South America, Europe, and Africa. With its foray into the U.S. market, Feedzai will begin selling to payment networks, banks and retailers to prevent fraud in omnichannel commerce. The company has recently signed on two new customers, including Yoco, a financial technology venture developing mobile driven solutions to help small businesses grow, and Nigeria’s national processing network.

Feedzai Fraud Prevention That Learns™ technology fuses machine learning and lets any analysts predict and prevent electronic payment loss in real time based on behavioral analysis and understanding of the way consumers behave when they make purchases, online or in-store. The software uses massive data, including mobile and social data streams, to create deep learning profiles for each customer, merchant, location or POS device, with up to a three-year history of data behind it.

This data helps acquirers, issuers and retailers mitigate risk, guard every transaction and preserve the customer experience.

Feedzai Risk & Fraud software also offers:

  • Payment providers the ability to manage ri
  • Issuers one-to-one behavioral profiling for every cardholder and reduces having to block good card transactions, keeping customers l
  • Acquirers the ability to perform continuous merchant underwriting by predicting merchant insolvency or unfunded chargebacks earlier, before the damage occurs.
  • Retailers the ability to reduce order review and rejection rates during checkout, as well as the ability to score orders taken from any channel wherever the consumer is shopping.

Feedzai has been working with a number of customers to fight fraud, including Coca-Cola, Logica, Vodafone, Ericsson, SIBs Payment Solutions, Horizon Wind Energy, and Servebase Credit Card Solutions. The company is backed by SAP Ventures, big data investment firm Data Collective, and other international investors for a total of $4.3 million.

 

About Feedzai:
Feedzai is the world’s first RiskOps platform, protecting people and payments with a comprehensive suite of AI-based solutions designed to stop fraud and financial crime. Feedzai is trusted by leading financial institutions to manage critical risk and compliance processes, safeguarding trillions of dollars of transactions while improving the customer experience and protecting the privacy of everyday users. For more information, visit feedzai.com.

Media Contacts:
Feedzai [email protected]