Rippleshot operates as a customer-first, fraud-fighting company. The company helps financial institutions identify data breaches, high-risk merchants, and compromised cards. It uses artificial intelligence (AI) and machine learning to predict risk, pinpoint threats, and protect financial institutions by reducing card fraud losses. The company was founded in 2013 and is based in Chicago, Illinois.
Rippleshot's Products & Differentiators
Machine Learning Card Fraud Analytics Platform
Expert Collections containing Rippleshot
Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.
Rippleshot is included in 6 Expert Collections, including Regtech.
Technology that addresses regulatory challenges and facilitates the delivery of compliance requirements. Regulatory technology helps companies and regulators address challenges ranging from compliance (e.g. AML/KYC) automation and improved risk management.
Credit Union Tech
Companies developing artificial intelligence solutions, including cross-industry applications, industry-specific products, and AI infrastructure solutions.
These companies protect organizations from digital threats.
Companies and startups in this collection provide technology to streamline, improve, and transform financial services, products, and operations for individuals and businesses.
Latest Rippleshot News
Oct 17, 2022
October 17, 2022 07:02 AM Eastern Daylight Time CHICAGO--( BUSINESS WIRE )-- Rippleshot , a provider of proactive fraud detection and prevention solutions to financial institutions and their customers, announced the addition of Veronica Milenkiy as Senior Data Scientist, and Gregory Lenihan as Product Specialist, to support increased execution and strategy in response to growing market demand for its fraud solutions Milenkiy is an established data scientist who holds both a Master of Science degree in Applied Mathematics and a Ph.D. in Geophysics from Harvard University, has authored a number of peer-reviewed publications and has 14 issued U.S. patents. She has extensive experience in big data and has proven expertise in the field through her work with leading organizations including NinthDecimal/InMarket, SunBasket and Kinsa, among others. Lenihan brings more than 15 years of financial services industry experience to his new role at Rippleshot, most recently with Fiserv, where he contributed to modernizing the rule systems, developing new rules strategies, and expanding and leading a team of rule writing professionals. He holds a bachelor’s degree in Political Science from Portland State University. “Our ability to be an industry leader in helping our clients manage fraud risk is driven by our talented team of risk analysts, data scientists and technologists, and we are excited to add experienced professionals like Veronica and Gregory to our staff,” said Canh Tran, Co-founder and CEO, Rippleshot. “We have experienced tremendous growth as an organization this year, and we look forward to continuing on that trajectory as we prepare for 2023.” About Rippleshot Rippleshot helps financial institutions become strategically resilient to fraud through AI/ML and data-based decision rules to predict risk, pinpoint threats and reduce card fraud losses. Leveraging a data consortium of 4,500+ FIs, Rippleshot’s fraud detection and prevention solutions position banks and credit unions to proactively transform fraud operations. For more information, visit www.rippleshot.com . Contacts
Rippleshot Frequently Asked Questions (FAQ)
When was Rippleshot founded?
Rippleshot was founded in 2013.
Where is Rippleshot's headquarters?
Rippleshot's headquarters is located at 222 West Merchandise Mart Plaza , Chicago.
What is Rippleshot's latest funding round?
Rippleshot's latest funding round is Loan.
How much did Rippleshot raise?
Rippleshot raised a total of $5.71M.
Who are the investors of Rippleshot?
Investors of Rippleshot include Paycheck Protection Program, CMFG Ventures, Method Capital, MasterCard Start Path, UMB Financial and 6 more.
Who are Rippleshot's competitors?
Competitors of Rippleshot include Effectiv and 7 more.
What products does Rippleshot offer?
Rippleshot's products include Sonar 2.0.
Compare Rippleshot to Competitors
Fraudio is a company that specializes in the financial technology sector, with a high-level focus on payment fraud detection and anti-money laundering solutions. The company offers a range of services including card payment fraud detection, merchant initiated fraud detection, and anti-money laundering solutions, all of which are designed to prevent, detect, and combat fraudulent activities in real-time using artificial intelligence. Fraudio primarily sells to sectors such as merchants, payment service providers or acquirers, and issuers or banks. It was founded in 2019 and is based in Amsterdam, Netherlands.
Ravelin provides fraud and payment authentication solutions for businesses. The company offers solutions such as online payment fraud, account security, policy abuse, marketplace fraud, and more. It was founded in 2014 and is based in London, United Kingdom.
Forter focuses on fraud prevention and protection in the digital commerce industry. The company offers services such as fraud management, payment optimization, chargeback recovery, identity protection, and abuse prevention, all aimed at increasing revenue, reducing losses, and enhancing the customer experience. It primarily serves the digital commerce industry. It was founded in 2013 and is based in New York, New York.
Feedzai focuses on financial crime prevention, operating within the financial technology and artificial intelligence (AI) sectors. The company offers a suite of solutions that use advanced machine learning to detect and prevent financial fraud, manage financial risk, and ensure compliance with regulatory requirements. Its primary customers are large financial organizations, including retail and corporate banks, fintech companies, and payment service providers. It was founded in 2011 and is based in San Mateo, California.
Sift provides real-time machine learning fraud prevention solutions for online businesses. Its machine-learning software automatically learns and detects fraudulent behavioral patterns and alerts businesses before they or their customers are defrauded. It provides its services in a wide range of industries such as financial technology, retail, payment service providers, and more. It was formerly known as Sift Science. It was founded in 2011 and is based in San Francisco, California.
Shield is a software-as-a-service (SaaS)-based self-learning fraud prevention solution for e-commerce. It combines latest fraud detection technology with machine learning, predictive analytics, and big data that runs on an optimized risk algorithm to compute the decision for accepting or rejecting each transaction. It was formerly known as CashShield. It was founded in 2008 and is based in Singapore, Singapore.