List of DataRobot Cloud Customers
DataRobot
225 Franklin St 13th floor,
Boston, 2110, MA,
United States
Boston, 2110, MA,
United States
1 617-765-5455
Professional Services
1000
$250M
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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Consensus Corporation | Professional Services | 160 | $20M | United States | DataRobot | DataRobot Cloud | ML and Data Science Platforms | 2016 | n/a |
In 2016, Consensus Corporation implemented DataRobot Cloud to support fraud detection within its Revenue Cloud offering on the Connected Commerce platform. DataRobot Cloud was positioned as the primary ML and Data Science Platforms component for building and operationalizing models that analyze retail transaction data.
The implementation paired Trifacta Wrangler Edge for data wrangling with DataRobot Cloud for automated model training, model selection, feature engineering workflows, and scoring, enabling faster model iteration. Trifacta Wrangler Edge ingested and transformed high volume transaction feeds prior to ingestion into DataRobot Cloud, creating repeatable data pipelines for supervised model development.
Model outputs from DataRobot Cloud were integrated back into Consensus Corporation's Revenue Cloud on the Connected Commerce platform to flag suspicious transactions for retail customers. Operational coverage focused on the fraud detection business function across Consensus's retail customer base, aligning data preparation, model hosting, and scoring endpoints within the platform.
Governance emphasized iterative model refinement and pipeline orchestration, with coordinated workflows between data wrangling and automated modeling to shorten update cycles for the advanced fraud model. Consensus reported this combined Trifacta and DataRobot Cloud approach improved its ability to identify millions of dollars of potential fraud for its retail customers.
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DemystData | Banking and Financial Services | 70 | $10M | United States | DataRobot | DataRobot Cloud | ML and Data Science Platforms | 2017 | n/a |
In 2017, DemystData implemented DataRobot Cloud, adopting a ML and Data Science Platforms solution to accelerate its modeling lifecycle within the Banking and Financial Services context. The deployment targeted the companys central analytics and data science functions and was positioned to shift technical effort from repetitive data preparation toward model development work.
DataRobot Cloud was configured to provide automated model training and selection capabilities typical of ML and Data Science Platforms, including high‑velocity model iteration, algorithm ensembling, and automated evaluation workflows. The implementation emphasized automated experimentation, allowing the platform to iterate through hundreds of candidate models and surface top-ranked models for review, which standardized modeling pipelines and reduced manual trial and error.
Operational coverage centered on DemystDatas data science team and related analytics stakeholders, who used DataRobot Cloud as a centralized modeling superpower. The platform consolidated model building and validation into a single cloud-hosted environment, enabling consistent feature handling and repeatable model evaluation across projects while preserving data-centric workstreams.
The stated outcome from DemystData leadership was a material reallocation of effort, captured in the clients comment that with DataRobot their team could focus all their time on the data because the tool automated the model iteration process. According to the case study, DataRobot Cloud reduced time spent on cleaning common variable sets and on manually testing model combinations, enabling faster experimentation and broader model coverage by the data science organization.
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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
ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating DataRobot Cloud. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating DataRobot Cloud for ML and Data Science Platforms include:
- Neotel North Macedonia, a Macedonia based Communications organization with 60 Employees
- European Metal Recycling, a United Kingdom based Professional Services company with 3048 Employees
- Innovative Process Solutions, a United States based Professional Services organization with 21 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated |
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Neotel North Macedonia | Communications | 60 | $3M | Macedonia | 2026-03-27 |
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European Metal Recycling | Professional Services | 3048 | $4.9B | United Kingdom | 2026-03-22 |
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Innovative Process Solutions | Professional Services | 21 | $4M | United States | 2025-08-27 |
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Education | 6673 | $1.0B | United States | 2025-08-05 |
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Professional Services | 370 | $40M | United States | 2024-07-09 |
FAQ - APPS RUN THE WORLD DataRobot Cloud Coverage
DataRobot Cloud is a ML and Data Science Platforms solution from DataRobot.
Companies worldwide use DataRobot Cloud, from small firms to large enterprises across 21+ industries.
Organizations such as Lenovo, Steward Health Care, Virgin Australia, American Tire Distributors and Income Insurance are recorded users of
DataRobot Cloud for ML and Data Science Platforms.
Companies using DataRobot Cloud are most concentrated in Manufacturing, Healthcare and Transportation, with adoption spanning over 21 industries.
Companies using DataRobot Cloud are most concentrated in Hong Kong, United States and Australia, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of DataRobot Cloud across Americas, EMEA, and APAC.
Companies using DataRobot Cloud range from small businesses with 0-100 employees - 22.73%, to mid-sized firms with 101-1,000 employees - 22.73%, large organizations with 1,001-10,000 employees - 40.91%, and global enterprises with 10,000+ employees - 13.64%.
Customers of DataRobot Cloud 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 DataRobot Cloud customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of ML and Data Science Platforms.