List of Amazon RoboMaker Customers
Amazon Web Services (AWS)
410 Terry Avenue North,
Seattle, 98109-5210, WA,
United States
Seattle, 98109-5210, WA,
United States
1 206-266-1000
Professional Services
135000
$128.7B
Since 2010, our global team of researchers has been studying Amazon RoboMaker customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Amazon RoboMaker for Robotic Process Automation from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Amazon RoboMaker for Robotic Process Automation include: Woodside Energy, a Australia based Oil, Gas and Chemicals organisation with 4718 employees and revenues of $8.58 billion, iRobot, a United States based Manufacturing organisation with 1058 employees and revenues of $890.0 million, Roomie Mexico, a Mexico based Manufacturing organisation with 75 employees and revenues of $10.0 million, Robot Care Systems Netherlands, a Netherlands based Healthcare organisation with 25 employees and revenues of $3.0 million and many others.
Contact us if you need a completed and verified list of companies using Amazon RoboMaker, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Amazon RoboMaker customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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iRobot | Manufacturing | 1058 | $890M | United States | Amazon Web Services (AWS) | Amazon RoboMaker | Robotic Process Automation | 2020 | n/a |
In 2020, iRobot deployed Amazon RoboMaker to run a simulation-based test environment for its Roomba and Braava product lines, using Amazon Web Services infrastructure to scale R&D and testing operations in the United States. Amazon RoboMaker provided the core simulation orchestration and automated scenario execution, and the implementation is described under the Apps Category .
The deployment centralized simulation-based automated regression and CI/CD testing, with Amazon RoboMaker handling test scenario provisioning, environment snapshotting, and parallel execution management. Implementation focused on integrating simulation orchestration into existing CI/CD pipelines and on configuring reusable simulation templates and sensor models to standardize regression coverage across firmware and autonomy codebases.
Operational scope was the R&D and testing organization in the United States, targeting Roomba and Braava development streams. The environment supported roughly 5,000 parallel test scenarios per month and enabled about 20x more simulated tests, outcomes that were recorded as improvements to code quality and accelerating release cadence.
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Robot Care Systems Netherlands | Healthcare | 25 | $3M | Netherlands | Amazon Web Services (AWS) | Amazon RoboMaker | Robotic Process Automation | 2018 | n/a |
In 2018, Robot Care Systems Netherlands implemented Amazon RoboMaker for its healthcare/care robotics deployment, extending the companys LEA care walker robot with cloud connectivity and remote management capabilities. Amazon RoboMaker was used as the cloud robotics runtime and orchestration layer to enable device telemetry, sensor telemetry pipelines and video streaming from fielded robots to cloud services in Europe.
Using RoboMaker cloud extensions Robot Care Systems configured telemetry ingestion, real time video streaming, remote command and control and over the air update pipelines to support fleet lifecycle operations. The implementation included patient and clinician dashboards built on streamed telemetry and video, and a fleet management surface for orchestrating software deployments and remote maintenance tasks.
Operational coverage concentrated on healthcare device operations and field service workflows, with the solution supporting clinician monitoring, device diagnostics and remote maintenance across European deployments. Governance and operational process changes focused on centralized fleet management, staged software rollout workflows and technician access controls to support scaling and secure remote operations.
Amazon RoboMaker enabled Robot Care Systems to stream sensor and video data, enable over the air updates and build patient and clinician dashboards to support scaling and remote maintenance of its devices, strengthening operational support for its healthcare and care robotics offering.
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Roomie Mexico | Manufacturing | 75 | $10M | Mexico | Amazon Web Services (AWS) | Amazon RoboMaker | Robotic Process Automation | 2021 | n/a |
In 2021, Roomie Mexico deployed Amazon RoboMaker using AWS RoboMaker Simulation to parallelize development and testing of service robots, operating in the Apps Category . The implementation focused on R&D and testing for hospitality, manufacturing, and a hospital COVID-19 screening use case across Mexico and Latin America, consolidating simulation as the primary validation stage prior to hardware trials.
The Amazon RoboMaker deployment leveraged simulation farms and AWS cloud extensions to run concurrent physics and sensor simulations, enabling repeated lidar, navigation and mapping workflows. Functional capabilities implemented included simulated lidar and SLAM validation, navigation stack testing, and automated test orchestration to exercise robot behaviors and edge cases at scale.
Integrations centered on AWS native simulation and cloud orchestration, with simulation outputs feeding validation workflows used by robotics engineers. Operational coverage remained within Roomie Mexico’s R&D and testing teams and extended to deployments and validation activities across sites in Mexico and Latin America.
Governance shifted development processes to a simulation-first pipeline, centralizing test automation and staged promotion from simulated validation to physical deployment. The team estimated a development time reduction of about 5.5 weeks and confirmed that lidar, navigation and mapping were validated in simulation prior to physical deployment, accelerating time to deploy.
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Woodside Energy | Oil, Gas and Chemicals | 4718 | $8.6B | Australia | Amazon Web Services (AWS) | Amazon RoboMaker | Robotic Process Automation | 2019 | n/a |
In 2019 Woodside Energy implemented Amazon RoboMaker as part of a program to apply reinforcement learning for robotic manipulation, engaging Max Kelsen to develop and open source RoboMaker and RLEstimator components. The work is categorized under Robotic Process Automation and focused on building repeatable robotics ML pipelines to train, tune, and deploy reinforcement learning agents for manipulation tasks that are repetitive or dangerous.
The implementation integrated Amazon RoboMaker with Amazon SageMaker using Kubeflow operators, delivering Amazon SageMaker RL Components for Kubernetes that run as steps in Kubeflow pipelines. Functional modules included SageMaker training jobs, AWS RoboMaker simulation jobs, Kubeflow pipeline definitions via the Kubeflow Pipelines SDK, and orchestration primitives to parallelize and sequence RL training, simulation, and deployment steps.
Technical integration points were explicit, the solution used open source libraries such as Ray to coordinate distributed RL training, Gazebo for robot simulation, and ROS to preserve robot runtime structure from simulation to production. Trained RL agent models were stored in Amazon Simple Storage Service buckets, and Amazon SageMaker inference nodes were instantiated to support production deployment, with the final model downloaded to robots using the same ROS structure used in simulation.
Governance and workflow changes centered on shifting stitching work out of individual data scientist and roboticist tasks into reusable Kubeflow components, enabling pipeline-driven experiment iteration and automated invocation of SageMaker and RoboMaker jobs. Max Kelsen designed the components to be loaded into Kubeflow pipelines so teams can describe and version their robotics ML workflows without manually wiring underlying cloud calls.
Outcomes from the engagement included AWS launching Amazon SageMaker Reinforcement Learning Kubeflow Components supporting AWS RoboMaker, and an operational framework that shortens the effort to experiment and manage end-to-end robotics ML workflows from perception to controls. The framework allowed Woodside Energy roboticists and data scientists to concentrate on algorithms and implementation rather than infrastructure orchestration.
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FAQ - APPS RUN THE WORLD Amazon RoboMaker Coverage
Amazon RoboMaker is a Robotic Process Automation solution from Amazon Web Services (AWS).
Companies worldwide use Amazon RoboMaker, from small firms to large enterprises across 21+ industries.
Organizations such as Woodside Energy, iRobot, Roomie Mexico and Robot Care Systems Netherlands are recorded users of
Amazon RoboMaker for Robotic Process Automation.
Companies using Amazon RoboMaker are most concentrated in Oil, Gas and Chemicals, Manufacturing and Healthcare, with adoption spanning over 21 industries.
Companies using Amazon RoboMaker are most concentrated in Australia, United States and Mexico, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Amazon RoboMaker across Americas, EMEA, and APAC.
Companies using Amazon RoboMaker range from small businesses with 0-100 employees - 50%, to mid-sized firms with 101-1,000 employees - 0%, large organizations with 1,001-10,000 employees - 50%, and global enterprises with 10,000+ employees - 0%.
Customers of Amazon RoboMaker include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.
Contact APPS RUN THE WORLD to access the full verified Amazon RoboMaker customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Robotic Process Automation.