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Michelin, an e2open customer evaluated Oracle Transportation Management

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

List of Posit Workbench Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
Covestro Oil, Gas and Chemicals 17542 $16.5B Germany Posit Posit Workbench ML and Data Science Platforms 2022 Eoda
In 2022, Covestro implemented Posit Workbench as the core of a centralized analytics and development environment to support enterprise data science and analytics in Germany. The deployment is categorized under ML and Data Science Platforms and was delivered together with systems integrator Eoda. The implementation combined Posit Workbench for interactive development, RStudio Connect for model and content publication, and RStudio Package Manager for reproducible package management. Configuration emphasized support for both R and Python workflows, with Workbench used explicitly as the primary development environment for data scientists. Operational coverage targeted enterprise data science and analytics teams across Covestro Germany, centralizing development environments, package governance, and publication pipelines. Integrations focused on enabling scalable R and Python execution and consistent package versions rather than on named external systems. Governance and process changes centered on reproducibility and compliance, with package management and Connect publication workflows used to enforce version control and controlled distribution of analytic outputs. The project scope and tooling selection reflect an emphasis on standardized development environments, centralized package governance, and scalable execution within the ML and Data Science Platforms stack.
E2E Communications 10 $1M Vietnam Posit Posit Workbench ML and Data Science Platforms 2023 n/a
In 2023, E2E implemented Posit Workbench Standard to centralize R based analytics and statistical reporting workflows. The procurement was executed via a government purchase order that records the Posit Workbench acquisition for agency analytics in the United States. The deployment of Posit Workbench targeted core ML and Data Science Platforms capabilities, consolidating R based code execution, project workspaces, and reproducible reporting workflows for enforcement and reporting teams. Configuration emphasized centralized session and project management to support statistical analysis pipelines used across the organization. Operational coverage spans analytics and process area work across the agency, supporting enforcement and reporting business functions. Integrations with other systems are not specified in the procurement source, the implementation statement focuses on providing a centralized environment for R based analysis within the agency. Governance reflects a centralized analytics posture, with the Posit Workbench implementation used to standardize statistical reporting workflows and to provision a controlled environment for analysts. The application Posit Workbench serves as the primary ML and Data Science Platforms endpoint for the agency analytics estate.
Mass General Brigham Healthcare 82000 $20.6B United States Posit Posit Workbench ML and Data Science Platforms 2025 n/a
In 2025, Mass General Brigham deployed Posit Workbench as a centralized research computing Workbench, selecting Posit Workbench within the ML and Data Science Platforms category to support clinical and biomedical research analytics and data science across the United States. The deployment is positioned as a unified environment to consolidate researcher tooling and improve reproducibility and productivity for analytics teams and biomedical scientists. The solution serves institutional research computing needs across clinical investigators, biostatistics groups, and translational research teams. Posit Workbench provides RStudio, Jupyter, and VS Code in a single provisioned workspace and standardizes development environments, notebook workflows, and code versioning to align with reproducible research practices. Operational scope covers clinical and biomedical research departments across the United States, with centralized access to the Posit Workbench platform for analytics, model development, and collaboration. Governance and rollout emphasis centers on standardizing researcher tooling and workflow consistency to support reproducibility and improved researcher productivity.
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FAQ - APPS RUN THE WORLD Posit Workbench Coverage

Posit Workbench is a ML and Data Science Platforms solution from Posit.

Companies worldwide use Posit Workbench, from small firms to large enterprises across 21+ industries.

Organizations such as Mass General Brigham, Covestro and E2E are recorded users of Posit Workbench for ML and Data Science Platforms.

Companies using Posit Workbench are most concentrated in Healthcare, Oil, Gas and Chemicals and Communications, with adoption spanning over 21 industries.

Companies using Posit Workbench are most concentrated in United States, Germany and Vietnam, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Posit Workbench across Americas, EMEA, and APAC.

Companies using Posit Workbench range from small businesses with 0-100 employees - 33.33%, to mid-sized firms with 101-1,000 employees - 0%, large organizations with 1,001-10,000 employees - 0%, and global enterprises with 10,000+ employees - 66.67%.

Customers of Posit Workbench 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 Posit Workbench 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.