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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

    • SimScale Case Study

      By providing instant access to computational fluid dynamics and finite element analysis, SimScale has revolutionized high-fidelity simulation technology from a complex and cost-prohibitive desktop application to a user-friendly cloud-based platform accessible to designers and engineers across the world. Watch how the company behind the world’s first production-ready SaaS application for engineering simulation used Amazon EC2 P3 instances to introduce a new simulation method for large-scale CAD models and why it migrated its entire infrastructure to AWS.

    • Munich Leukemia Lab Case Study

      Munich Leukemia Lab (MLL) is a diagnostics and research institution whose mission is to find a cure for leukemia and lymphoma. MLL uses state-of-the-art molecular and IT-supported methods to shape the future of hematological diagnostics and therapy. Using AWS, MLL reduced the turnaround time to process patient genome data from 20 hours to 3 hours, helping accelerate research and improve diagnosis of leukemia.

    • ReAmp Case Study

      Reamp, a digital marketing optimization agency, continuously seeks ways to reduce its operating costs to stay competitive. Using Amazon EC2 A1 instances, Reamp reduced operating costs, which allowed the company to lower customer costs, attract more customers, and provide faster service.

    • Siemens Translate Case Study

      Siemens surveys employees quarterly using AWS machine learning technologies to translate and analyze results in less than two weeks. Siemens provides solutions for power generation and transmission, medical imaging, laboratory diagnostics, and industrial infrastructure and drive systems. The company’s survey-processing solution uses Amazon Translate, a neural machine translation service; Amazon SageMaker, a managed machine learning service; and Amazon Comprehend, a natural language processing service that finds relationships in text.

    • Public Good Case Study

      Public Good Software used AWS AppSync to reduce latency of its Impact Unit widget by reducing API calls. Public Good Software is a cause-marketing platform that encourages public engagement around social causes. With AWS AppSync, the company easily accesses only the data it needs, improving customer experience through reduced latency and faster time-to-market.

    • Delivery Hero Case Study

      Delivery Hero saves 70 percent on infrastructure for containerized Kubernetes workloads. The food delivery company transports 1 million food orders a week in 39 countries. Delivery Hero transitioned its Kubernetes clusters to run only on Amazon EC2 Spot Instances to take advantage of unused Amazon EC2 capacity at a discount.

    • LA County Case Study

      The Los Angeles County Internal Services Department serves county employees and residents via its contact center. With Amazon Connect, a cloud-based contact center, the county offers self-service options to callers, captures sentiment analysis to improve customer service, and provides better working conditions to call agents.

    • Amazon F3 Case Study

      Amazon F3, the business unit behind Prime Now and Amazon Fresh, shifted both offerings onto one product selection management system built on native AWS tools. Amazon F3 delivers fresh food to customers in as soon as one hour in a growing number of international locations. The new solution uses Amazon RDS to centralize and store data, AWS Lambda and AWS Step Functions for serverless orchestration and business logic implementation, and Amazon API Gateway to validate user tokens.

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