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    GE Healthcare uses Amazon SageMaker to build machine-learning models that help healthcare providers identify health issues faced by people around the world. The company runs its GE Health Cloud—which connects to 500,000 imaging devices—on AWS and uses Amazon SageMaker to ingest de-identified data, store that data compliantly, orchestrate work across teams, and build deep-learning algorithms to identify critical health conditions.

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    Peloton relies on AWS to power its on-demand, live leaderboard. Learn More>>

    Cerner chose AWS to power its machine learning and artificial intelligence. Learn More>>

    Expedia is all in on AWS, with plans to migrate 80 percent of its mission-critical apps. Learn more »

    Atlassian uses AWS to scale its issue-tracking software applications and enhance its disaster recovery and availability. Learn more »

    • Enterprises

    • Startups

    • Public Sector

    • Big Data

      Collect and process colossal amounts of data quickly and cost-efficiently.

      Financial Industry Regulatory Authority

      FINRA uses AWS to capture, analyze, and store a daily influx of 75 billion records.


      Unilever uses AWS to launch and analyze digital marketing campaigns faster.

      The Kellogg Company

      Kellogg's uses AWS to to deliver spend analyses and data simulations in minutes.

    • Data Center Migration

      Migrate your on-premises workloads to AWS.


      Using AWS, AOL has been able to move mission-critical workloads to the cloud, extend its global reach, and save millions of dollars on energy resources.

      Conde Nast

      In just three months, Condé Nast was able to migrate over 500 servers, one petabyte of storage, various mission critical applications, and over 100 database servers into the AWS Cloud.


      Using AWS, InfoSpace migrated its full data center within 6 months and can now easily manage its Microsoft stack on AWS.

    • Enterprise Solutions

      Run common and custom business applications securely and reliably.

      General Electric

      GE is migrating more than 9,000 workloads, including 300 disparate ERP systems, to AWS while reducing its datacenter footprint.

      Brooks Brothers

      Brooks Brothers runs its SAP and CRM solutions on AWS, gaining agility and cost savings.


      Intuit is saving money by moving its business applications to AWS.

    • Financial Services

      Accelerate agility, enable innovation, and protect sensitive data.

      Pacific Life Insurance

      Pacific Life uses AWS as part of a hybrid computing environment to control IT costs.


      Using AWS enables Intuit to reach new markets, speed development, and better serve its customers.


      Robinhood built its brokerage trading platform and a massively scalable securities trading app on AWS.

    • Healthcare & Life Sciences

      Enable agile research, collaboration, product development, and sales.

      Centers for Disease Control

      Using AWS, the CDC shares health information widely while avoiding hardware investments.

      Siemens Healthcare Diagnostics

      Siemens has built a secure, HIPAA-compliant, scalable platform on AWS.

      Brisol-Myers Squibb

      BMS used AWS to build a frugal, secure, self-provisioning research portal.

    • Internet of Things (IoT)

      Easily and securely connect devices to the cloud.


      Enel is saving on compute and storage costs, reduced provisioning time, and has transformed its business.


      Rachio processes millions of IoT messages daily and has cut development costs by 40 percent using AWS. 


      iRobot uses AWS to support its vision for products used in connected homes, including its popular Roomba vacuum cleaners.

    • Machine Learning (ML) & Artificial Intelligence (AI)

      Machine Learning in the hands of every developer and data scientist.

      Capital One

      Using AWS, Capital One turns data into insights through machine learning, allowing the company to innovate quickly on behalf of its customers.


      Intuit uses Amazon SageMaker to train its machine-learning models quickly and at scale, cutting the time needed to deploy the models by 90 percent.

      Formula 1

      Formula 1 uses Amazon SageMaker to analyze race data in real time, then shares the insights with television viewers.


    • Web & Mobile Apps

      Build and scale high-performance websites and mobile applications.


      Pinterest uses AWS to manage multiple petabytes of data and perform daily refreshes of its massive search index.


      Airbnb's web and mobile apps run on AWS and scale automatically to support demand.


      PhotoVogue uses Amazon API Gateway to boost the user experience up to 90 percent faster.

    Discover what customers are doing with AWS today

    • AWS Case Study - Perfect Corp.

      Building its AI- and AR-enabled beauty platform on AWS has allowed Perfect Corp. to scale its business to 67 countries in three years and exceed its 99.58% service availability target. Perfect Corp. is a beauty SaaS vendor in Taiwan offering a platform for global beauty businesses and customers that allows them to virtually try on makeup online, in-store, or through a mobile app. The company is using Amazon EMR to process big data and analyze logs, Amazon RDS to store customer data, and Amazon GuardDuty to monitor for security threats.

    • Orsted/Obviux Case Study

      Green energy company Ørsted created its own software startup, Obviux, built entirely in the cloud. Obviux builds streamlined billing software for the energy sector. The company relies on Amazon RDS for MySQL to manage the Amazon Aurora database it uses to store data from more than 1 million customers and 1.2 million smart meters.

    • RADICA Case Study

      RADICA can launch campaigns much faster for global brands targeting Chinese consumers now that its multichannel electronic direct-mail platform RiMANGGIS is running on AWS. Headquartered in Hong Kong, RADICA provides digital marketing solutions to around 300 businesses. RADICA’s RiMANGGIS platform manages large-scale email, mobile, and social media activities targeting consumers in China and uses AWS services such as Amazon EC2, Amazon S3, Amazon SQS, and Amazon Route 53, is now more agile and simple to manage.  

    • Numerate Case Study

      Numerate uses AWS to model tens of billions of molecules, discover drug candidates five times faster, and reduce costs by seven-eighths. The organization uses AI and ML technologies to transform drug discovery by running its ML platform on AWS and using Amazon EC2 Spot Instances to drive down costs.

    • AWS Case Study - BiiLabs

      Using AWS Marketplace, BiiLabs has reduced sales overheads for its blockchain Alfred API service by 50 percent. BiiLabs creates trusted network infrastructures using blockchain and distributed ledger technology. The company uses Amazon EC2 and AMI to run the Alfred API with AWS API Gateway and AWS IAM to manage access.

    • Al Tayer Group Case Study

      Al Tayer Group relies on AWS to scale to meet 50 percent web traffic growth, reduce operational costs by 79 percent, and focus on development instead of infrastructure management. The organization is a privately held holding company with operations in six countries in the Middle East. Al Tayer Group runs four e-commerce websites and a website platform on AWS, taking advantage of Amazon EC2 Spot Instances to reduce costs.

    • Skyscanner Case Study - AWS Support

      AWS Support helps Skyscanner to ensure it has the right balance for its for its large volume of EC2 instances (reserved, on-demand, and spot) to make sure its business is optimized for both performance and cost.

    • Third Rock Ventures Case Study

      Machine learning is increasingly used to support therapeutic discovery at biotech companies. Third Rock Ventures is a venture firm that builds and launches biotech companies that accelerate scientific discoveries and transform patient lives. Dozens of Third Rock portfolio companies make use of AWS services to support their infrastructure, data science, bioinformatics, and machine-learning initiatives. Amazon Elastic Compute Cloud (Amazon EC2) along with flexible storage modalities such as Amazon Elastic File System (Amazon EFS) and Amazon Elastic Block Store (Amazon EBS) empower teams to aggregate complex, semi-structured datasets. Amazon SageMaker notebooks provide a cloud solution for reproducible, easy to implement data science workflows. Similarly, Amazon Comprehend Medical makes it easy to structure medical text data, which enables biotech companies to better collaborate with clinical partners and identify opportunities to serve patients

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