AI Buyer Insights:

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Michelin, an e2open customer evaluated Oracle Transportation Management

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Michelin, an e2open customer evaluated Oracle Transportation Management

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

List of DataRobot Cloud Customers

loading spinner icon



Apply Filters For Customers

Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
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.
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.
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.
Professional Services 160 $20M United States DataRobot DataRobot Cloud ML and Data Science Platforms 2016 n/a
Banking and Financial Services 70 $10M United States DataRobot DataRobot Cloud ML and Data Science Platforms 2017 n/a
Insurance 3201 $1.6B United Kingdom DataRobot DataRobot Cloud ML and Data Science Platforms 2016 n/a
Healthcare 200 $30M United States DataRobot DataRobot Cloud ML and Data Science Platforms 2016 n/a
Banking and Financial Services 69 $42M New Zealand DataRobot DataRobot Cloud ML and Data Science Platforms 2016 n/a
Insurance 8400 $4.6B Singapore DataRobot DataRobot Cloud ML and Data Science Platforms 2017 n/a
Banking and Financial Services 860 $673M United States DataRobot DataRobot Cloud ML and Data Science Platforms 2017 n/a
Showing 1 to 10 of 22 entries

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:

  1. Innovative Process Solutions, a United States based Professional Services organization with 21 Employees
  2. University of Toledo, a United States based Education company with 6673 Employees
  3. H2O.ai, a United States based Professional Services organization with 370 Employees

Discover Software Buyers actively Evaluating Enterprise Applications

Logo Company Industry Employees Revenue Country Evaluated
No data found
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.