List of DataRobot Cloud Customers
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Since 2010, our global team of researchers has been studying DataRobot Cloud 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 DataRobot Cloud for ML and Data Science Platforms 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 DataRobot Cloud for ML and Data Science Platforms include: Lenovo, a Hong Kong based Manufacturing organisation with 72000 employees and revenues of $69.08 billion, Steward Health Care, a United States based Healthcare organisation with 40500 employees and revenues of $8.10 billion, Virgin Australia, a Australia based Transportation organisation with 8000 employees and revenues of $5.81 billion, American Tire Distributors, a United States based Distribution organisation with 4000 employees and revenues of $5.00 billion, Income Insurance, a Singapore based Insurance organisation with 8400 employees and revenues of $4.59 billion and many others.
Contact us if you need a completed and verified list of companies using DataRobot Cloud, 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 Machine Learning software purchases.
The DataRobot Cloud 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 Machine Learning 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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American Tire Distributors | Distribution | 4000 | $5.0B | United States | DataRobot | DataRobot Cloud | ML and Data Science Platforms | 2019 | n/a |
In 2019, American Tire Distributors implemented DataRobot Cloud. DataRobot Cloud, an ML and Data Science Platforms solution, was introduced as a component of a three year roadmap focused on deploying automation companywide, re engineering systems to support digital channels, replacing the integration and customer facing stacks, increasing cloud adoption, and building a more tech savvy workforce.
The DataRobot Cloud deployment concentrated on automated model development, model management, model deployment and monitoring, and support for Python based model artifacts to accelerate predictive analytics workstreams. DataRobot Cloud was configured to enable production workflows for demand forecasting, fulfillment analytics and channel pricing that align with standard ML and Data Science Platforms capabilities, and these model lifecycle workflows were integrated into ATD’s established CI/CD and QA automation processes.
Architecturally DataRobot Cloud was integrated into ATD’s hybrid cloud environment, which centers on a cloud native integration layer running on Google Cloud with MongoDB Atlas as the core database, and a Snowflake data lake. The platform consumed training data from Snowflake and MongoDB Atlas and scored models against operational feeds from Oracle ERP and ATD’s API based channels that serve its 140 distribution centers, while coexisting with Azure based analytics workloads, Power BI visualizations and UiPath automation.
Model governance and rollout were aligned with the company’s broader application release and automation governance, embedding model validation, promotion and monitoring into CI/CD pipelines managed by ATD’s Seattle and Charlotte development centers. Deployment prioritized embedding ML into sales, supply chain and customer experience workflows and included training and hiring programs to expand analytics capabilities across operations while preserving back end stability through a headless e commerce approach.
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Ascendas-Singbridge | Construction and Real Estate | 1200 | $561M | Singapore | DataRobot | DataRobot Cloud | ML and Data Science Platforms | 2017 | n/a |
In 2017 Ascendas-Singbridge implemented DataRobot Cloud in the ML and Data Science Platforms category to support time series forecasting of parking lot capacity. The implementation concentrated on automated time series modeling to turn historical occupancy data into operational capacity forecasts for parking operations.
The deployment used DataRobot Cloud’s Time Series features and automated supervised machine learning workflows, enabling IT developers to perform model training, automated feature engineering, model selection, and backtesting without deep intervention into underlying model internals. DataRobot Cloud was used to operationalize standard time series functionality typical of ML and Data Science Platforms, including rolling forecasts and model validation workflows.
Operational responsibility rested with the IT Enterprise Information Management team and the solution was applied to Ascendas-Singbridge parking operations and facilities management use cases. The workstreams centered on data ingestion and model iteration cycles managed by IT developers and analytic stakeholders, with models producing forecasts to inform day to day capacity planning.
Leong Hiong Yee, Manager IT Enterprise Information Management, noted that DataRobot allows IT developers to pick up supervised machine learning easily, lowering the steep curve of machine learning and removing the complexity of the underlying models from developers. Governance focused on enabling developer led model creation and iterative model lifecycle management within the DataRobot Cloud environment.
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Avant | Banking and Financial Services | 500 | $437M | United States | DataRobot | DataRobot Cloud | ML and Data Science Platforms | 2016 | n/a |
In 2016, Avant deployed DataRobot Cloud on Amazon Web Services to enable business analysts to perform data science work through an easy to use interface. Avant positioned DataRobot Cloud within its ML and Data Science Platforms approach to accelerate predictive workflows for payment likelihood, marketing response, and potential fraud scoring.
DataRobot Cloud was implemented to provide rapid model building, model evaluation, and evaluation of new data sources, allowing quick iteration and analysis that reduces time demands on scarce data scientists. The platform’s capabilities supported business analysts running experiments and generating production ready models without deep engineering intervention.
The deployment is powered by AWS and includes direct DataRobot APIs for integration with Avant’s in house production system, enabling model outputs to be operationalized in decisioning pipelines. Operational coverage spans business analysts, data science staff, and production systems used by risk, collections, marketing, and fraud detection functions.
Governance and process changes focused on shifting routine model development and exploratory analysis toward the DataRobot Cloud interface while reserving data scientists for higher complexity work. The implementation allowed Avant to generate a larger number of predictions faster and to evaluate additional data sources, with direct API access simplifying integration into existing production workflows.
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Professional Services | 160 | $20M | United States | DataRobot | DataRobot Cloud | ML and Data Science Platforms | 2016 | n/a |
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Banking and Financial Services | 70 | $10M | United States | DataRobot | DataRobot Cloud | ML and Data Science Platforms | 2017 | n/a |
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Insurance | 3201 | $1.6B | United Kingdom | DataRobot | DataRobot Cloud | ML and Data Science Platforms | 2016 | n/a |
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Healthcare | 200 | $30M | United States | DataRobot | DataRobot Cloud | ML and Data Science Platforms | 2016 | n/a |
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Banking and Financial Services | 69 | $42M | New Zealand | DataRobot | DataRobot Cloud | ML and Data Science Platforms | 2016 | n/a |
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Insurance | 8400 | $4.6B | Singapore | DataRobot | DataRobot Cloud | ML and Data Science Platforms | 2017 | n/a |
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Banking and Financial Services | 860 | $673M | United States | DataRobot | DataRobot Cloud | ML and Data Science Platforms | 2017 | n/a |
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Buyer Intent: Companies Evaluating DataRobot Cloud
- Innovative Process Solutions, a United States based Professional Services organization with 21 Employees
- University of Toledo, a United States based Education company with 6673 Employees
- H2O.ai, a United States based Professional Services organization with 370 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
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