Riskified Ltd., together with its subsidiaries, builds a next-generation AI-powered ecommerce risk intelligence platform that allows its customers online merchants to create trusted relationships with their consumers.
Leveraging machine learning that benefits from data from a global merchant network, the company's platform identifies the individual behind each online interaction, helping merchants, its customers, to eliminate risk and uncertainty from their business. The company's AI-powered ec...
Riskified Ltd., together with its subsidiaries, builds a next-generation AI-powered ecommerce risk intelligence platform that allows its customers online merchants to create trusted relationships with their consumers.
Leveraging machine learning that benefits from data from a global merchant network, the company's platform identifies the individual behind each online interaction, helping merchants, its customers, to eliminate risk and uncertainty from their business. The company's AI-powered ecommerce risk intelligence platform is built to solve these problems with proprietary machine learning models that drive an automated decisioning engine. The company has designed its platform to be fast, accurate, scalable, and cost-effective. The platform supports the company's core Chargeback Guarantee product—which optimizes merchant approval rates—as well as its other products that mitigate similar and adjacent ecommerce risks for those same merchants, including Policy Protect, Dispute Resolve, Account Secure, and PSD2 Optimize.
The company's core product, the Chargeback Guarantee, automatically approves or declines online orders with guaranteed performance levels that vary in accordance with its merchants’ priorities. The company's machine learning models analyze hundreds of attributes per transaction, generating decisions in real time. Simultaneously, the company provides contractual minimum approval rates for its Chargeback Guarantee merchants that are often higher than these merchants can achieve on their own.
The company accesses its merchants’ transaction data through deep integrations into their mission-critical infrastructure, including their ecommerce, order management, and customer relationship management systems. Collecting relevant data across its merchant network allows the company to identify complex transaction and behavior patterns that are not easily identifiable by merchants on their own. The company's ability to help its merchants stems from the fact that it continuously feeds this real-time training data into its sophisticated machine learning models.
The company services merchants of all sizes, from multi-billion-dollar global omnichannel retailers to small pure play merchants, including via partnership integrations with Shopify and other ecommerce platforms, such as Salesforce Commerce Cloud, Commercetools, Adobe Commerce, IXOPAY, and others. However, the company focuses on supporting enterprise merchants, which it defines as merchants generating over $75 million in online sales per year. The company's merchants include some of the largest ecommerce brands in the world, including Ring, Lastminute.com, SHEIN, and Macy’s. The company's merchants operate in a variety of verticals, including Payments, Money Transfer, Tickets & Travel, Electronics, Home, Fashion & Luxury Goods, General Retail, and Food.
The company charges merchants using its Chargeback Guarantee product a percentage of every dollar of GMV that it approves on their behalf, so it is incentivized to approve as many orders as the company safely can.
AI-powered Ecommerce Risk Intelligence Platform & Product
The company’s AI-powered ecommerce risk intelligence platform automates the complexities of ecommerce for merchants, and enables them to offer simple, frictionless consumer experiences.
Data Sources
The company deeply integrates into merchants’ systems that house and track transaction data and online interactions. Extrapolating this level of access across its global merchant base provides tremendous data resources that the company uses to train its machine learning models. The company can draw insights from billions of historical transactions executed on its merchant network, each of which contains hundreds of data attributes.
Analytics
Extensive and automated analysis of these attributes, both individually and as part of the aggregated global network, positions it to determine which consumers and transactions are legitimate or fraudulent. The company’s machine learning algorithms produce real-time insights that are trained for anomaly detection and pattern recognition based on the other transactions and interactions that has occurred, and are occurring, on its network.
Merchant Tools
The company's dashboards give merchants visibility into every decision that it makes. This empowers merchants to review, understand, and override decisions where the company is unwilling to guarantee a transaction. The dashboards also include up-to-date key performance metrics, including order approval rates, account challenges, order declines, and chargebacks.
Products
The company's AI-powered ecommerce risk intelligence platform consists of multiple products that are all powered by the same automated decisioning engine. Chargeback Guarantee is the company's core product that is used by substantially all its customers. Merchants typically use the company's other products, either individually or in combination with Chargeback Guarantee, to overcome ecommerce pain points that are similar or adjacent to chargeback fraud and abuse.
The company's Chargeback Guarantee product automatically approves or declines online orders with guaranteed performance levels that vary by merchant. The company's machine learning models analyze hundreds of attributes per transaction, generating accurate decisions instantaneously. Through its proprietary smart linking technology, the company strives to accurately match transactions that occur on its network with other similar transactions that has occurred on its network across hundreds of variables per transaction. The company guarantees the outcome of these decisions by assuming the cost of fraud associated with each transaction it approves. Simultaneously, the company provides contractual minimum approval rates for its Chargeback Guarantee merchants that are often higher than the approval rates that these merchants were able to achieve prior to commencing work with the company.
Building upon this foundation, Adaptive Checkout further optimizes conversions by dynamically adapting each checkout flow based on real-time assessments, leveraging one-time passwords, CVV checks, or 3D Secure routing to ensure more good customers are approved without taking on additional risk. In addition, the company has built a first-class Chargeback Management System, which is a key component of its Dispute Resolve product. This fully automated workflow product is designed to aid its merchants when they dispute chargebacks for which the company is not liable, through a process known as ‘representment’. With Dispute Resolve, the company is able to utilize its machine learning technology to automate key elements of the dispute process, such as compiling ‘compelling evidence’ submissions for fraud and non-fraud related chargeback abuse, which can occur when consumers knowingly take advantage of the chargeback process (commonly referred to as ‘liar buyer’ or ‘friendly fraud’). The visibility, automation, and speed that the company is able to provide in the chargeback ‘representment’ process augments its Chargeback Guarantee offering and is an important component of its comprehensive chargeback management solution.
The growth of the company's merchant network has enabled it to identify many other pain points that its decisioning engine can help solve for its merchants. The company is able to help solve these problems using the extensive information it collects from its merchants’ online storefronts and back-end systems, including but not limited to their order management, fulfillment, payments, refunds, returns, and other customer support systems.
The company’s Policy Protect product uses machine learning to detect and prevent refund and returns policy abuse in real-time whenever consumers may be taking advantage of a merchant’s Terms and Conditions. The company is powered by a proprietary engine that forms identity clusters from billions of historical transactions, hundreds of billions of data attributes, and repeat interaction histories for hundreds of millions of consumers, across a global merchant network, broadening the view of customer identity beyond their singular profile with a merchant. Policy Protect helps merchants balance generous policies while protecting their bottom line. With Policy Protect, the company enables merchants to offer lenient refund and returns policies, attractive promotions and loyalty programs, and launch limited edition items to their loyal customers while reducing losses associated with return abuse, reseller abuse and other forms of online policy abuse with high levels of accuracy. Merchants can leverage the power of Policy Protect in Decision Studio, a powerful suite of tools that provides AI-powered self-service capabilities for the creation, simulation, and management of customer-facing policies. Through a seamless blend of enriched data points with dynamic AI-powered logic based on Riskified's identity and risk models, Decision Studio is designed to give merchants the power to achieve a delicate balance between human expertise and AI-based automation. This provides merchants with more control over their refund, return, promo and resale policies.
The company’s Account Secure product cross-checks every login attempt against the account owner’s behavior across its entire merchant network and provides precise real-time actions on compromised accounts, such as notification to the true account owner or multi-factor authentication (MFA). Account Secure provides good customers with a better experience by reducing friction while preventing fraudsters and other bad actors from compromising the accounts. The company’s PSD2 Optimize product helps merchants avoid bank authorization failures and abandoned shopping carts resulting from the Strong Customer Authentication (SCA) process mandated by the European Payment Directives for certain European orders. Merchants use PSD2 Optimize to provide superior consumer experiences, increase profitable revenues, and decrease costs, just like they do with Chargeback Guarantee.
The company continuously evaluates its product suite to ensure that it is investing in and allocating resources to those products that deliver the highest return on investment for its merchants and its shareholders.
Merchants
The company’s AI-powered ecommerce risk intelligence platform is explicitly designed and engineered to integrate with a wide range of merchants. The company can accommodate and grow with the world’s largest merchants:
Scale: The company serves merchants with multiple regional store fronts and large global presences. The company’s largest merchants generate tens of billions of dollars in online sales each year.
Industry: The company’s merchants represent diversified online sellers in various industries, such as Payments, Money Transfer, Tickets & Travel, Electronics, Home and Fashion & Luxury Goods. The company categorizes general retail merchants and food merchants within its ‘General’ category.
Merchant Profile: The company’s merchants range from direct-to-consumer brands, online-only retailers, omnichannel retailers, online marketplaces, and ecommerce service providers that bear the liability for disputed transactions.
Geography: The company’s merchants are located in approximately 40 countries based on the location of the merchant’s headquarters. Approximately 61% of the company’s Billings for the year ended December 31, 2024, were derived from US-based accounts. The company’s Billings in Asia-Pacific increased by more than 33% year-over-year in 2024.
The company’s network is made up of hundreds of retailers including some of the largest ecommerce brands in the world, such as Ring, Lastminute.com, SHEIN, and Macy’s.
Go-to-Market Strategy
The company markets its AI-powered ecommerce risk intelligence platform directly to online merchants primarily through its enterprise sales team, with a strong focus on long-term customer value. The company's seasoned direct sales team is highly skilled in identifying online merchant pain points, demonstrating its value-add, and providing dedicated support to address the online merchants’ needs.
Some merchants prefer the flexibility to start their relationship with the company by submitting only a portion of their order volumes. The company welcomes this approach and has successfully implemented a ‘Land and Expand’ strategy, where it creates long-term partnerships that result in strong retention and revenue that is likely to recur. As the company gains its merchants' trust, it is generally able to increase the GMV they submit and the value it provides. In addition, the company's multi-product platform, consists of Chargeback Guarantee, Policy Protect, Dispute Resolve, Account Secure, and PSD2 Optimize, provides its sales teams with multiple entry points into the ecommerce market, which is designed to create a continuous sales motion and increased merchant coverage.
Seasonality
The company experiences seasonal fluctuations in its revenue because of consumer spending patterns. Historically, the company’s revenue has been strongest during the fourth quarter of its fiscal year due to increases in retail commerce during the holiday season (year ended December 31, 2024).
Intellectual Property
As of December 31, 2024, the company held four registered trademarks in the United States and thirty-two registered trademarks in foreign jurisdictions, including registrations of RISKIFIED, eConfidence and the Riskified logos. As of December 31, 2024, the company had applied for one additional trademark registration in foreign jurisdictions.
Government Regulation
The company is subject to the Israeli Privacy Protection Authority (PPL), and the more recent Data Security Regulations, which imposes obligations on how personal data is processed, maintained, transferred, disclosed, accessed and secured.
In the European Economic Area’s (EEA) and UK, the company is also subject to the General Data Protection Regulation 2016/679 (EU GDPR) and the UK Data Protection Act 2018 and the UK General Data Protection Regulation (UK GDPR), as well as national legislation supplementing the GDPR and the UK GDPR.
The company is also subject to evolving EU and UK privacy laws on cookies, tracking technologies and e-marketing.
The company is also subject to Lei Geral de Proteção de Dados, which imposes similar requirements to the GDPR on the collection and processing of data of Brazilian residents.
Additionally, in China, the company is subject to the China’s Cybersecurity Law (CSL), China’s Data Security Law (DSL), China’s Personal Information Protection Law (PIPL) and other data-related regulations, such as the Cybersecurity Review Measures.
The company is subject to laws and regulations of the jurisdictions in which it operates, including the United States, United Kingdom, European Union, and Israel, that govern or restrict its business and activities in certain countries and with certain persons. This includes the economic and financial sanctions and trade embargo regulations administered by the U.S. Treasury Department’s Office of Foreign Assets Control, as well as the export control laws administered by the U.S. Commerce Department’s Bureau of Industry and Security.
History
Riskified Ltd. was founded in 2012. The company was incorporated under the laws of the state of Israel in 2012.