Industry
Inside the growth of the top AI companies on Stripe
AI companies are rewriting the rules of growth. In our new report, Indexing the AI economy, we explore the latest trends and strategies in the AI space.
Product
Stripe Tax: An all-in-one global tax compliance solution
Stripe Tax is now an all-in-one global tax compliance solution, after adding international registration and filing to round out its tax calculation and collection features.
Product
Global Payouts: A new way to send money directly to third parties
Last month at Stripe Sessions, we announced Global Payouts, which allows you to easily and securely send money to third parties around the world. Global Payouts is part of our biggest-ever upgrade to Stripe to make it less expensive, complex, and time-consuming for you to fund, store, and pay out in multiple currencies.
Product
Introducing Stablecoin Financial Accounts in 101 countries
Earlier this month at Stripe Sessions, we announced Stablecoin Financial Accounts—our largest effort to date in expanding money management capabilities to businesses across the globe. Entrepreneurs and businesses in 101 countries can now easily access a dollar-denominated stablecoin balance to store and move money on crypto or established financial rails right from their Stripe Dashboard.
Product
Using AI to optimize payments performance with the Payments Intelligence Suite
Stripe has been using AI in our payments products for over a decade, and we’re continuing to expand how we put AI to use on your behalf. Last week at Stripe Sessions, we introduced our Payments Intelligence Suite, which uses AI to make hundreds of automated, real-time decisions to maximize your profits—with no effort required.
Product
Our top product updates from Sessions 2025
We announced the ability to manage multiple payment providers from within Stripe, two new extensibility primitives, support for turnkey consumer issuing programs, new money management capabilities, and a lot more.
Product
Radar now protects ACH and SEPA payments
Over the last year we’ve seen a 40% increase in the share of noncard payment volume on Stripe. To help you adapt your fraud prevention strategy to this changing set of payment method preferences, we’re extending Radar’s fraud protection to cover ACH and SEPA payments.
Industry
How we tested the conversion impact of global payment methods
Last week, we shared new data that helps businesses understand the conversion and revenue benefits of offering different payment methods. Now we want to share how we ran the experiment. As we explain in the rest of this post, we had to test millions of combinations of payment methods while ensuring that we maintained a consistent shopping experience for customers.
Industry
Testing the conversion impact of 50+ global payment methods
We have data that shows when at least one additional relevant payment method beyond cards is dynamically surfaced, businesses on average see a meaningful increase in conversion and revenue.
Product
Using AI to create dynamic, risk-based Radar rules
Last month, we improved our AI tooling to give you even more flexibility when combating fraud. Now, Radar’s new rules combine our machine learning models with the issuer’s CVC and postal code response in real time. This can help you minimize fraud while worrying less about accidentally blocking legitimate revenue.
Product
How Stripe is using AI to create personalized checkout experiences
The Optimized Checkout Suite uses AI to personalize the checkout experience—dynamically adjusting everything from payment method ordering to fraud interventions in order to maximize conversion and boost revenue.
Product
Atlas startups can now accept payments prior to receiving their EIN
Founders can now accept payments immediately after incorporation, while Atlas handles the IRS filings in the background.
Product
AI enhancements to Adaptive Acceptance
Recent AI upgrades to Adaptive Acceptance led to a record $6 billion in false declines recovered in 2024—a 60% year-over-year increase.
Product
Introducing credits for usage-based billing
With the rise of usage-based billing for AI services, the strategic importance of credits is growing. That’s why we’ve recently added a new credits feature to Stripe Billing.
Product
How we built it: Usage-based billing
We created a usage-based billing system with an accurate and highly available revenue ledger; real-time events processing with ultrahigh throughput billing; and the ability to support complex pricing models and accurate billing, even in the face of delayed events. Doing so required reimagining how to build a highly scaled, highly reliable event streaming platform.
Product
Using ML to detect and respond to performance degradations in slices of Stripe payments
With our slice monitoring program, we use machine learning to spot small pockets of performance declines amid the sea of global payments.
Product
How Stripe Radar responded to a new wave of card testing
While Radar’s models predict the likelihood of fraud or card testing, we needed a new way to recognize verification attacks that were causing higher-than-average authorization rates. Learn about our three-layered approach to combating this new fraud trend.
Product
What does the future hold for real-time payments?
In the third and final installment in our three-part series, we examine the most important questions for the future of real-time payments: will they ever take off in the US and the UK, and will they emerge as a truly global payment method?
Product
In a competitive landscape, RTPs move to stand out
To compete with other payment methods for consumer preference, real-time payments are expanding their “bundle” of services to include subscriptions, credit, and in-person transactions.
Product
The ML flywheel: How we continually improve our models to reduce card testing
Card testing is one of the most significant fraud threats to Stripe, its users, and the broader financial ecosystem. Stripe’s machine learning–based approach—based on rapid detection and retraining—has led to successful card testing attacks on Stripe decreasing by 80% over the last two years.