AWS Startups Blog
Tag: Payments
Red Dot Payment Helps Increase Asian E-commerce Revenue
Red Dot Payment is a Singaporean startup that offers a platform for companies looking to accept digital payments. CTO Gian Carlo Val Ebao sat down to tell us more.
Expanding Credit Card Horizons with Extend
Fintech startup Extend is a digital credit card distribution platform and mobile app that allows enterprises to distribute virtual credit card numbers. Co-founder and CTO Danny Morrow and software architect Ian Enders sat down to explain.
Dwolla Headlines AWS-Sponsored Monetery Tech Conference
With help from community sponsor Amazon Web Services, Monetery continued to promote diversity in technology and extend its reach in the Midwest tech ecosystem.
Harnessing the Power of Payments on the Blockchain
As blockchain steadily advances and reaches mainstream acceptance, what can startups do to prepare for this financial revolution?
Fraugster Separates Credit-Card Fraudsters From Mere Frequent Fliers
We live in a golden age of travel, a time when it’s never been easier (or cheaper) to book a flight to a far-flung locale. It seems everyone is either planning a trip, on vacation, or sharing enviable photos from their latest jaunt. But according to Luke Shaughnessy, the operations manager of Fraugster, an anti-fraud startup, our credits cards haven’t been keeping pace.
How Coinbase Builds Its Blockchain Infrastructure
Coinbase is a marketplace to buy and sell digital currency. It’s one of the best-known portals for anyone hoping to approach the crypto-currency market, because it’s the “easiest and most trusted place to buy, sell, and manage your digital currency,” according to Jack Kearney, a software engineer at Coinbase working on infrastructure and security.
Warung Pintar Brings Tech-enabled Stalls to Street Vendors
Founded in 2017, Warung Pintar offers street vendors tech-enabled stalls that include internet connectivity for customers, a digital POS system, LCD displays, and more.
James CEO João Menano on Expanding Credit Opportunities with AI
Assigning credit risk to people who apply for business loans, credit cards, and home mortgages has mostly been done by weighing some 10 or 20 attributes. Take those attributes—and we’re all familiar with some of the things that make our credit scores rise and fall, including timeliness of payments, debt to income ratio, and defaults—and crank them through your favorite logistic regression model or scorecard. The result is your assigned credit risk, and depending on the number, you either get your loan or you don’t.
Three Internal Software Tools Every Startup Should Use
Guest post by Vanessa Kruze of Kruze Consulting