Learn more about AWS and Financial Services
  • Aircel Case Study

    Using AWS, Aircel reduced development time for its Aircel Backup app by 60%, and ensured its Aircel e-money platform delivered the security and reliability to maintain high levels of customer satisfaction. Aircel offers a range of voice and data services and is the fastest-growing telecommunications provider in India. Today, the company runs its Aircel e-money platform and Aircel Backup app on AWS, using Amazon EC2 instances for web and databases services, and relies on Amazon S3 for storage and CloudWatch services for real-time alert configuration. 

  • Aon Case Study

    Aon Securities Inc. (ASI), a financial services provider, needed high-powered computing to run financial simulations to value and manage insurance retirement products. The company turned to AWS to run its financial simulation platform to reduce simulation time by leveraging GPU optimized instances. As a result, ASI has been able to lower the calculation and total reporting process time from 10 days to 10 minutes.

  • Ascension and PokitDok Case Study

    Using AWS, Ascension and partner PokitDok provide customers with real-time cost estimates for their healthcare needs, and were able to create and deploy the application within a matter of weeks. Ascension is a nonprofit healthcare organization in the United States, providing more than $1.8 billion for care of persons living in poverty and other community-benefit programs. PokitDok is a cloud-based healthcare API platform. Together, both companies rely on AWS to quickly launch new products and bring them to scale without the worry of downtime.

  • AWS Case Study: 2C2P

    Founded in 2003, 2C2P is the leading payments company in Southeast Asia, providing a number of comprehensive, technology-driven, and omnichannel payment services for Asian and international businesses. 2C2P is running its payment systems, database and associated compliance, and other systems in AWS. This has enabled 2C2P to improve availability to 99.999 percent, while supporting tens of thousands of transactions per day.

  • AWS Case Study: 8 Securities

    8 Securities accomplishes its mission of reinventing investing in Hong Kong by providing a Trading Portal where users have access to resources that enable them to learn from and exchange ideas with like-minded investors. To maintain a cost-effective, reliable, scalable, flexible computing platform, the company uses several services from AWS, including Amazon EC2 with Elastic IP Addresses, Amazon EBS, Amazon VPC, and Elastic Load Balancing.

  • AWS Case Study: Aire

    Aire provides an alternative to traditional methods of credit scoring for people who have little or no credit history, or are incorrectly classified. The company runs its Aire API web application, as well as analysis and business reporting capabilities, on AWS. Using AWS, Aire took its app to market fast, while ensuring it had the security and availability to get people access to fair credit in a cost-effective way.

  • AWS Case Study: AmInvest

    AmInvest, a Malaysia-based funds management service, applies analytical and statistical modeling to identify and exploit market opportunities on behalf of its clients. The company uses AWS to run its analytical and statistical financial modeling platform and analyze more than a terabyte of data. By moving to AWS, AmInvest will lower the cost to run analytics by 50% over a five-year period and reduce the average time required to complete client scenarios in half.

  • AWS Case Study: B!Cash

    Brazilian company B!cash migrated its online money transfer platform from a traditional data center to AWS after experiencing scalability issues on Black Friday 2012. The company uses AWS to process payments between buyers and sellers on a PCI-compliant platform, scaling to support more than 40,000 merchants and 7 million active users.

  • AWS Case Study: Bankinter

    Bankinter, a leading provider of online banking services in Spain, uses AWS as an integral part of their credit-risk simulation application. The application uses complex algorithms to perform 5,000,000 simulations. Using AWS, Bankinter was able to reduce the average time-to-solution from 23 hours to 20 minutes.

  • AWS Case Study: BuildFax & Amazon Machine Learning

    BuildFax provides insurers, building inspectors, and economists with information about commercial and residential structures across the United States. The company uses Amazon Machine Learning to create predictive models used for tasks such as estimating the age of roofs in a particular region so insurers can establish policies based on probable replacement costs. By using Amazon Machine Learning, BuildFax needs just a few weeks to create models that took six months or more in the past to build, and can offer new analytics services to its customers.

  • AWS Case Study: Coinbase

    Coinbase is the world's most popular bitcoin wallet, facilitating bitcoin transactions in 190 countries. The organization runs its global bitcoin exchanges, wallets, and an analytical insight pipeline on AWS. Using AWS, Coinbase has grown to support 3 million global bitcoin users and processes and can analyze 1 TB of data each day for better insight into its business.

  • AWS Case Study: ESuperfund

    ESUPERFUND is one of the largest self-managed retirement funds service provider in Australia. To prepare and scale for a period of rapid expansion, the company migrated its website infrastructure and client database to the AWS Cloud. The ESUPERFUND site now performs three times faster than before and the company has reduced operating costs by 40%.

  • AWS Case Study: Federal Home Loan Bank of Chicago

    The Federal Home Loan Bank of Chicago was chartered in 1932 to improve capital availability in the real estate market by loaning money to other banks. The company migrated all of its internal production workloads to AWS including its analytics platform, disaster recovery solution, and other internal applications. By moving to AWS, the organization reduced its overall IT infrastructure costs by 30 percent.

  • AWS Case Study: Intuit's Cloud Migration

    Intuit provides financial and tax preparation software for small businesses, accountants, and individuals worldwide. The company began using AWS to host TurboTax AnswerXchange, an application that was only active during tax season, reducing its cost by a factor of six. Today, Intuit runs 33 applications on AWS and plans to move the rest of them the cloud in the coming years. Using AWS enables Intuit to reach new markets, speed development, and better serve its customers.

  • AWS Case Study: Lenddo

    Lenddo enables businesses to simply and securely evaluate the risk of extending credit to low- or no-credit individuals using alternative data and predictive algorithms. Prompted by continued growth, the company rearchitected its long-term data storage and credit modeling solution on AWS using Amazon DynamoDB and Amazon S3. As a result, Lenddo can scale to support routine calculations involving millions of social data points in minutes while reducing monthly IT spend by 40 percent.

  • AWS Case Study: MAPFRE

    MAPFRE is the largest insurance seller in Spain and Latin America. The company saved €1.3 million in infrastructure costs and reduced development time from weeks to days by switching to Amazon Web Services from an on-premises solution.

  • AWS Case Study: Matchmove

    Matchmove is a platform-as-a-service company that provides Matchmove Wallet, an online mobile payment service. The startup worked with AWS Advanced Technology Partner Trend Micro to create, deploy, and manage Matchmove Wallet on AWS. By using AWS, Matchmove was able to launch its product while minimizing infrastructure time and money expenditures, and can meet stringent PCI requirements for its product.

  • AWS Case Study: ME Bank

    AWS provided the agile infrastructure platform that allowed Australia’s ME Bank to reduce development and testing environment costs by 75%. As a result, the bank was able to refresh its key technology systems on schedule and on budget.

  • AWS Case Study: msg global solutions

    The 600 consultants at msg global solutions deliver expertise to clients worldwide in the insurance industry. Having reached the performance limits of its on-premises infrastructure, the company chose AWS to run SAP for Insurance solutions. Processes are now optimized, services are delivered faster, and the company anticipates it will save $500,000 over the next five years.

  • AWS Case Study: NASDAQ OMX

    NASDAQ OMX is the largest exchange company in the world and currently owns and operates 24 markets, three clearing houses and five central securities spanning six continents. Their technology powers 70 exchanges in 50 countries. The company’s Global Data Products division uses Amazon S3 to store data used by its Market Replay and Data-On-Demand products, applications that allows customers to quickly access historical stock price information through a front end application and raw files.

  • AWS Case Study: Nubank

    NuBank, a Brazilian financial services startup, offers its customers a no-fee, low-interest credit card service. The company is using AWS to host its mobile application and credit card processing platform. By using AWS, NuBank reduced its time to market and is now able to launch customer-facing features with ease.

  • AWS Case Study: Ohpen

    Financial software-as-a-service provider Ohpen created a platform that banks can use to administer retail mutual funds and savings accounts for their customers. The company’s founders chose to deploy their banking-products platform using the AWS cloud. With AWS, Ohpen can rapidly deliver new features and estimates it can help its institutional customers cut their costs by up to 80 percent.

  • AWS Case Study: Omise

    Omise provides payment gateway services to merchants, including application programming interfaces and developer resources. The company runs its payment gateway services in an Amazon Web Services infrastructure that is compliant with the Payment Card Industry Data Security Standard. This has enabled Omise to scale to support demand peaks of more than 1,000 transactions per minute, deliver its services for one-third the cost of doing so from a physical data center, and achieve 99.99 percent availability.

  • AWS Case Study: Pacific Life Insurance

    Pacific Life Insurance provides financial services and products to individuals, businesses, and pension plans. The company turned to AWS for its hybrid IT strategy, using the AWS cloud in combination with data centers in California and Nebraska to run actuarial workloads used to set insurance pricing and create new product offerings. Using AWS, Pacific Life can quickly scale its compute capacity with less cost and IT overhead compared to adding new hardware to its own data centers.

  • AWS Case Study: PayGate

    PayGate is one of the leading payment processing companies in southern Africa, and a pioneer in online payment services in the region. PayGate used Amazon Web Services to set up a secure payment processing gateway based within the European Union for one of its longstanding customers. In doing so, it saved around one million South African Rand (US$75,000) and gained a flexible platform to conduct proofs of concept for future cloud projects.

  • AWS Case Study: PaymentSpring

    PaymentSpring provides payment services for organizations such as nonprofits and small ecommerce companies. The startup had several platform requirements for its solution, including high availability and scalability, cost effectiveness, and features that would support compliance with Payment Card Industry (PCI) standards. PaymentSpring turned to AWS, launching a service that quickly scaled to millions of dollars while offering its customers the reliability and security expected of a payment system.

  • AWS Case Study: Robinhood

    Robinhood’s lean staff, including just two DevOps people, used AWS to create a massively scalable securities trading app with strong built-in security and compliance features that supported hundreds of thousands of users at launch. Robinhood is a startup offering no-fee securities trading. The company uses AWS to operate its online business, deliver and update its mobile trading app, securely store customer information and trading data, and perform business analytics.

  • AWS Case Study: rplan

    Start-up financial services company rplan provides its customers with tools to help achieve financial goals. Building its infrastructure based on AWS has enabled rplan to contain costs, maintain a high level of performance, and support a growing user base.

  • AWS Case Study: S&P Capital IQ

    The S&P Capital IQ platform combines deep global company information and market research with powerful tools for fundamental analysis, idea generation, and workflow management. It provides easy access to both real-time and historical information on companies, markets, transactions, and people worldwide. The S&P data science team saves time and money by using the AWS Cloud to build intelligent analytics for the platform, taking advantage of AWS, including Amazon EMR and Amazon S3.

  • AWS Case Study: Simple

    Simple is an online bank that offers its customers tools to better understand and manage their finances. The bank built its online banking platform on AWS while meeting payment card industry (PCI) data security standard (DSS) compliance. Using AWS, Simple can automate processes that once took months to complete and focus on its customer service rather than managing IT infrastructure.

  • AWS Case Study: Smatis

    Smatis, a large French insurance provider (called a “mutuelle”), has strict requirements around protection of sensitive customer data, and must comply with certain European standards, such as Solvency II. After conducting intensive testing, Smatis decided to move production workloads into AWS in order to reduce costs and improve IT efficiency. Smatis is able to store critical customer data securely, without compromising on agility and flexibility.

  • AWS Case Study: Solinor

    Solinor is a Finland-based software company that provides customized payment solutions that require Payment Card Industry Data Security Standard (PCI DSS) certification. Its Payment Highway software as a service, which enables its customers to accept card payments online, runs on Amazon Web Services. Solinor got its solution to market 90 percent faster with AWS than it could have on a physical infrastructure and, crucially, it was able to achieve security compliance with ease.

  • AWS Case Study: Stripe

    Since 2011, Stripe has delivered its PCI-compliant payment platform entirely on AWS, relying on the security best practices as well as easy auditability of the AWS platform. Stripe wants to make it easier than ever for developers to process payments on their web and mobile applications. Using AWS provides Stripe with access to a world-class infrastructure that helps it scale seamlessly and increase developer productivity.

  • AWS Case Study: Suncorp

    Suncorp Group, a leading Australian financial services organization, wanted to dream big and innovate without restriction to revitalize its complex and expensive IT environment. After a successful migration of mission-critical applications to AWS, the company plans to migrate 2,000 applications to the cloud.

  • AWS Case Study: Tradeworx

    Tradeworx, a financial technology company based in New Jersey, needed to help the SEC police market events such as the May 6, 2010 Flash Crash. By using AWS, Tradeworx was able to design an analytics platform that allows the SEC to reconstruct years of market data and analyze more than 3 billion data points in 2.8 seconds.

  • Bambora Case Study

    Bambora uses AWS to provide a scalable global infrastructure as it has grown to a multimillion-dollar business in two years. The company provides online, in-store, and mobile payment solutions aimed at all companies, from small merchants to global enterprises.

  • Capital One Case Study

    Capital One is using AWS as a central part of its technology strategy. As a result, the bank plans to reduce its data center footprint from eight to three by 2018. Capital One is one of the nation’s largest banks and offers credit cards, checking and savings accounts, auto loans, rewards, and online banking services for consumers and businesses. It is using or experimenting with nearly every AWS service to develop, test, build, and run its most critical workloads, including its new flagship mobile-banking application. Capital One selected AWS for its security model and for the ability to provision infrastructure on the fly, the elasticity to handle purchasing demands at peak times, its high availability, and its pace of innovation. 

  • Currencycloud Case Study

    Currencycloud is a payment platform which helps businesses to handle overseas payments using cloud technology. Founded in the UK in 2012, the company began with a physical, on-premises IT infrastructure to power its processes. Today the company is cloud-powered, thanks to a new and successful collaboration with AWS. Benefits gained from include a reduced server spin-up speed from 6 months to 6 minutes, an anticipated 30% cost reduction by the end of year one, and higher server and database performance.

  • DBS Bank Case Study

    DBS Bank is using AWS to transform its business, reach scale, and better serve its customers. DBS Bank is a multinational banking and financial-services corporation heaquarted in Marina Bay, Singapore. The company plans to move all of its public web assets—which support 50 percent of customer traffic and internet-banking workloads—to AWS in the coming years. The organization is also experimenting with AWS Lambda, machine learning, grid computing, and data-analytics workloads as part of its digitial-transformation journey.

  • DTCC Case Study

    Robert Palatnick, chief technology architect at DTCC, describes how the centralized clearinghouse that processes 100 million transactions per day is transforming trade processing and analytics using AWS. DTCC is all in on AWS, running more than 20 workloads in a regulated environment that demands resilience, secure storage, and industry-wide collaboration.

  • Ebury Case Study

    By migrating to AWS, financial services firm Ebury has gained a flexible, scalable architecture to support rapid growth. The company provides currency services and business lending to small and medium-sized enterprises, allowing them to trade internationally. It runs its infrastructure on AWS, using services such as Amazon EC2, Amazon RDS, and AWS Elastic Beanstalk.  

  • Experian Case Study

    Using AWS, Experian has built a big-data processing platform called Experian Ascend that will enable integrated analysis, development, and deployment of analytical and decisioning solutions for customers against 15 years of full-file U.S. credit data in the cloud. Experian is a global leader in consumer and business credit reporting and marketing services, with annual revenue of more than $4 billion. The company built its petabyte-scale data-ingestion and analytics solution using open-source technology running on Amazon EC2, with data stored in Amazon S3.

  • FICO CSS Amazon Polly Video Case Study

    Using Amazon Polly to power their range of voice applications, FICO Customer Communication Services (CSS) has been able to enable faster time to market and reduce overall cost. FICO CCS focuses on providing automated voice, text and email communications to help organizations with fraud detection and customer service. The company has selected AWS as its cloud provider and has migrated several core applications, including myFICO.com and its flagship analytics platform, the Decision Management Suite (DMS), to AWS.

  • Financial Engines Cuts Costs 90% Using AWS Lambda and Serverless Computing

    Financial Engines is using AWS to reduce infrastructure costs by more than 90 percent and gain immense scalability. The largest independent investment advisor in the United States, Financial Engines offers technology-enabled portfolio-management services, financial planning, and investment guidance to more than nine million people nationwide. The firm runs its core computational engine on a serverless architecture using AWS Lambda. 

  • FINRA Case Study

    By migrating to AWS, FINRA — the Financial Industry Regulatory Authority— has created a flexible platform that can adapt to changing market dynamics while providing its analysts with the tools to interactively query multi-petabyte data sets. FINRA is dedicated to investor protection and market integrity. It regulates one critical part of the securities industry – brokerage firms doing business with the public in the United States. To respond to rapidly changing market dynamics, FINRA moved about 90 percent of its data volumes to Amazon Web Services, using AWS to capture, analyze, and store a daily influx of 37 billion records.

  • Finra Case Study - Data Validation

    FINRA moved an on-premises data-validation process to AWS, achieving significant cost savings, reducing management overhead, and cutting response times from three minutes to less than one minute. FINRA oversees securities broker-dealers in the United States, including analyzing up to 75 billion market events daily to identify fraud and insider trading. FINRA stores data on Amazon S3, uses AWS Lambda to perform validation, hosts a controller on Amazon EC2, and employs Amazon SQS to coordinate microservices.

  • HashChing Case Study

    HashChing cuts development costs by 25 percent, launches its cloud environment in minutes, and overcomes spikes in website visitors using AWS. The startup company is an online marketplace for consumers to access pre-negotiated home-loan deals in Australia. HashChing’s website runs on Amazon EC2 Instances, and AWS CloudFormation and AWS CodeDeploy ensure faster website updates. 

  • Intellect SEEC Case Study

    Intellect SEEC offers an extensive portfolio of software-as-a-service (SaaS) solutions for insurance companies, including risk analysis, customer relationship management (CRM), underwriting, and claims. The company, which has 29 offices worldwide, has been developing innovative insurance solutions for more than 20 years with the goal of lowering its customers’ IT costs and increasing their premium volumes and margins. 

  • Intuit Case Study

    Nhung Ho, Head of Data Science at Intuit Quickbooks, discusses how the financial and tax-preparation software company uses AWS to better serve its customers. Intuit is all in on AWS and uses Amazon SageMaker to train its machine-learning models quickly and at scale, cutting the time needed to deploy the models by 90 percent.

  • Intuit Mint Case Study

    Intuit Mint uses AWS to automatically scale to support a 200 percent increase in website traffic, reduce operating costs by 25 percent, and boost website availability and developers’ speed and efficiency. Mint is a free online service that consumers can use to manage personal finances and track and pay bills in a single location. The company runs its Mint.com website on the AWS Cloud.

  • Japan Net Bank Case Study

    Established in 2000, Japan Net Bank has been able to increase reliability and save money by hosting its Office of Administration platform and disaster-recovery capabilities on AWS. Japan Net Bank is the country’s only internet bank, with a focus on developing and delivering settlement services to its customers. The bank is now looking to migrate more of its infrastructure to AWS, such as its mobile systems.  

  • JKOS Case Study

    By using AWS, JKOS cut the IT costs of launching its business by 90 percent and reduced IT administration costs by 83 percent. JKOS has developed the JKOS app for multiple services including food delivery, taxi bookings and payments. The company supports its apps through the AWS Cloud using Amazon EC2 instances for compute, Amazon RDS for warehousing customer and vendor data, and Amazon S3 for storing images. 

  • Judo Capital Case Study

    Judo Capital (Judo) avoids the capital expenditure of IT by using AWS, while gaining the flexibility to scale and add new services without disruption to operations. Judo provides loans to small and medium-sized enterprises within Australia. Today, Judo manages its loan-origination processes through an infrastructure built on the AWS Cloud that features Amazon EC2 compute instances, Amazon RDS for loan-based data, and AWS Lambda for serverless computing-based integrations—with third parties supporting the origination workflow.

  • Luno Case Study

    Luno (formerly known as BitX) launched and grew its business quickly using AWS, providing a secure financial platform to customers across five countries. Its solutions allow consumers and professionals to store and trade in Bitcoin, the digital asset and payment system. The Luno Bitcoin wallet and exchange products run on AWS technologies, including Amazon EC2 and Amazon RDS. The startup uses AWS tools and features such as Amazon VPC and security groups to create a trusted environment in the cloud.

  • Mambu Case Study

    Using AWS, Mambu helped one of its customers launch the United Kingdom’s first cloud-based bank, and the company is now on track for tenfold growth, giving it a competitive edge in the fast-growing fintech sector. Mambu is an all-in-one SaaS banking platform for managing credit and deposit products quickly, simply, and affordably. The company uses services including AWS Elastic Beanstalk, Amazon EC2, and Amazon RDS to run its entire infrastructure.

  • Mirae Asset Global Investments Case Study

    By moving its websites onto AWS, Mirae Asset Global Investments, part of Mirae Asset Group, has reduced its operating costs by more than half and eliminated the need to invest capital to replace servers, storage, and networking equipment running in a collocated infrastructure. Founded in 1997, Mirae Asset Group provides investment services that span the world’s largest markets, including China, India, and the United States. The organization is running its websites in AWS, and plans to move its intranet onto the AWS infrastructure.

  • Morningstar Case Study

    Using AWS, Morningstar quickly deployed an application to help customers choose investment products that comply with the new Department of Labor fiduciary rule. Morningstar is a global provider of independent investment research, products, and services. It uses AWS Elastic Beanstalk to host .NET APIs and relies on Amazon VPC for secure connectivity to company databases while retaining the agility to innovate.  

  • National Bank of Canada Case Study

    National Bank of Canada’s Global Equity Derivatives Group (GED) uses AWS to process and analyze hundreds of terabytes of financial data, conduct data manipulations in one minute instead of days, and scale and optimize its operations. GED provides stock-trading solutions and services to a range of organizations throughout the world. The organization runs its data analysis using the TickVault platform on the AWS Cloud. 

  • PayFort Case Study

    PayFort delivers trusted, highly secure services to its customers by using AWS’s Payment Card Industry Data Security Standard (PCI DSS) compliance credentials. The startup provides its payment solutions to organizations across the Middle East, giving customers an easy way to conduct online transactions. It uses services such as Amazon EC2 and Amazon RDS within an Amazon VPC to run FORT, its online payments gateway.

  • Razorpay Case Study

    By using AWS, Razorpay completes data migration with less than four minutes’ downtime and minimizes disruption to merchants using its online-payment gateway. Founded in 2015 and headquartered in Bangalore, India, Razorpay’s payment-gateway services are used by more than 30,000 merchants. The business is using a range of AWS services, including Auto Scaling to automate the process of scaling and Amazon EC2 instances to support peaks and troughs in demand.  

  • Satispay Case Study

    Using AWS, Satispay created an agile infrastructure that has supported a 6,500 percent growth in the company’s user base across Italy. Satispay offers a new service that makes everyday payments between people and businesses simple and secure, all via a mobile phone. The company worked with AWS Partner Network (APN) Advanced Consulting Partner beSharp, using Elastic Load Balancing and Auto Scaling to seamlessly scale its cloud up or down to suit developer and user needs.

  • SimplePay Case Study

    SimplePay used Riverbed SteelConnect Gateway to go global in three months, building a globally-replicated redundant network, required for the financial industry — yet they can scale up and down as needed. Simple Pay, based in Sydney Australia, lets businesses and consumers securely send and receive payments online or through their mobile phones. Using Riverbed SteelConnect in AWS Marketplace, SimplePay has deployed several gateways in AWS Virtual Private Cloud (VPC) to handle thousands of transactions per second — with heavy database use that must replicate and synchronize throughout the world.

  • Starling Bank Case Study

    Starling Bank is one of the UK’s leading fintech startups, and a successful mobile-first disruptor in the retail banking market. Since launching in 2014, Starling Bank has used AWS to build a convenient, transparent, and mobile-first service without sacrificing security, scalability or cost-effectiveness. Using AWS services including AWS Lambda, Amazon S3, and Amazon RDS, Starling has achieved a fast, scalable, and secure cloud infrastructure which enables seamless, compliant functionality updates.

  • Stock Exchange of Thailand Case Study

    Using AWS, the Stock Exchange of Thailand (SET) launched a comprehensive trading platform for startups in just eight months, ensuring compliance with strict regulatory guidelines and security protocols for personal data protection. SET acts as a center for securities trading in the country, offering a range of products and services to domestic and international customers. The enterprise uses Amazon EC2 for its online trading platforms, as well as Amazon RDS and Elastic Load Balancing for its AWS Cloud–native products. For its latest product launch, SET integrated Amazon S3 for file and document storage and AWS Key Management Service for use with blockchain technology.

  • Sunday Insurance Case Study

    Sunday brings InsurTech to Thailand with the support of AWS—and giving customers lower-cost premiums for a wide range of insurance policies. Sunday applies machine learning to determine risks and delivers highly customized insurance policies. The company runs H2O.ai , an open-source software for data analysis, on Amazon EC2 instances for risk/pricing modeling, and relies on AWS Lambda for executing the machine-learning software code when requests for insurance quotes come in.

  • The Carlyle Group Case Study

    Using AWS, The Carlyle Group has been able to save up to $40,000 a year on maintenance costs with full redundancy and increased mobility. The Carlyle Group is one of the largest investment firms operating around the globe. Partnering with Ctera Networks, the company moved its physical file servers into the cloud, saving time, space, and costs and gaining an added level of data redundancy to keep its information secure.

  • Travelex Case Study

    As a result of running its services on AWS, Travelex has been able to fast-track the introduction of new money-transfer products to market and streamline customer onboarding. Travelex—an independent foreign-exchange and money-transfer specialist, with presence in 30 countries—is a trusted, innovative, and responsive partner for financial institutions moving large sums of money around the world. Travelex is using AWS services including Amazon ECS, AWS CloudFront, AWS WAF, and Elastic Load Balancing to launch some of its latest products.

  • TrueMoney Case Study

    TrueMoney provides digital payment services to residents of South East Asian countries. The business is running its e-wallet web application, payment gateway, and websites in an AWS infrastructure. This has enabled TrueMoney to reduce its capital costs by at least three million Thai baht (US$83,000), establish a centralized platform to expand into new markets, and reduce the personnel resources required to administer its infrastructure from two team members to half the time of one team member.

  • Xignite Case Study

    Xignite employs Amazon EC2 and Amazon S3 to deliver financial market data to enterprise applications, portals, and websites for clients such as Forbes, Citi, ING, kaChing, and Starbucks.

  • Yuanta Case Study

    Yuanta Securities Korea is realizing increased speeds and lower costs by running their financial models on AWS to assess market risk and make trading decisions. According to Dr. Jeong Ho Chu, the organization is able to run financial market scenarios at four-fold faster speeds and is saving money using AWS. Yuanta is currently experimenting with AWS in areas such as sales, engineering, and training. Watch the video to learn more.

  • zipMoney Case Study

    By using AWS to build a data lake, zipMoney can gather unique customer insights that vastly improve its underwriting process, pushing the boundaries of analytics with artificial intelligence and machine learning. zipMoney is an Australian fintech startup offering instantaneous, virtual lines of credit to consumers upon checkout at stores or on e-commerce sites. The firm relies on Amazon EMR and Amazon Elasticsearch Service to process and query vast amounts of data, Amazon S3 buckets to store such data, and Amazon DynamoDB to support its applications with low latency.

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