List of Google Colab Customers
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Since 2010, our global team of researchers has been studying Google Colab 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 Google Colab 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 Google Colab for ML and Data Science Platforms include: University of Southern California, a United States based Education organisation with 19957 employees and revenues of $6.89 billion, University of Illinois Chicago, a United States based Education organisation with 12000 employees and revenues of $4.18 billion, Vocareum, a United States based Education organisation with 30 employees and revenues of $2.0 million and many others.
Contact us if you need a completed and verified list of companies using Google Colab, 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 Google Colab 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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University of Illinois Chicago | Education | 12000 | $4.2B | United States | Google Colab | ML and Data Science Platforms | 2022 | n/a |
In 2022, the University of Illinois Chicago adopted Google Colab within its ML and Data Science Platforms portfolio through an instructional rollout led by the UIC Library. The UIC Library ran a public workshop titled 'Introduction to Python using Google Colab' to teach researchers and students Python and data analysis workflows using Colab notebooks. The adoption targeted the education process area and focused on campus researchers, students, and library instruction services.
Google Colab was provisioned as a cloud hosted, browser based notebook environment providing runtime selection and GPU capable compute for hands on exercises. Implementation emphasized interactive notebooks, runtime management, and reproducible code cells, allowing participants to execute Python notebooks without local environment setup and to install packages within sessions. The deployment leveraged standard ML and Data Science Platforms capabilities to support model development and data analysis pedagogy.
Governance and rollout were executed through library led workshops and instructional materials, embedding Google Colab into research training workflows and library curriculum. The adoption enabled remote, GPU capable lab exercises and simplified setup for participants, increasing accessibility to ML tooling for campus researchers.
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University of Southern California | Education | 19957 | $6.9B | United States | Google Colab | ML and Data Science Platforms | 2025 | n/a |
In 2025, University of Southern California adopted Google Colab within its ML and Data Science Platforms portfolio to support education process area initiatives for student upskilling in ML and data science. The implementation centers on cloud hosted, GPU backed notebooks and collaborative notebook workflows to provide hands on AI and data science instruction.
The USC Career Center published and delivered a Google Colab Notebook Essential Training course used for data science and AI instruction, focusing on hands on GPU backed notebooks and collaborative workflows. Google Colab provides interactive Python notebooks, GPU acceleration, code execution and sharing capabilities that map directly to classroom lab exercises and training. The course design emphasizes reproducible notebooks and collaborative editing to align training with common ML and data science workflows.
Operational scope spans the university through Career Center delivery, targeting students across programs to improve practical lab access and lower local hardware requirements. Governance and rollout were executed through the Career Center curriculum publication and classroom delivery model, positioning Google Colab as an accessible platform for coursework and upskilling without campus hardware provisioning. Outcomes explicitly include improved practical lab access and reduced need for local GPU resources.
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Vocareum | Education | 30 | $2M | United States | Google Colab | ML and Data Science Platforms | 2025 | n/a |
In 2025 Vocareum integrated Google Colab to support AI and data-science education, implementing notebook-based assignment and autograding workflows. The Google Colab integration is part of Vocareum's ML and Data Science Platforms deployment to serve instructors and students in campus and online courses across the United States.
The implementation centers on notebook delivery and automated grading, using Google Colab notebooks as the primary execution surface for student submissions. Functional capabilities include assignment provisioning with preconfigured notebooks, an autograder pipeline that evaluates code and notebooks, and mechanisms to return graded artifacts to instructors, aligning with category workflows typical of ML and Data Science Platforms.
Integrations explicitly include LMS connectivity to synchronize assignment metadata and grade results between Vocareum and institutional learning management systems. The architecture links Google Colab runtime sessions with Vocareum assignment management, enabling instructors to launch, monitor, and collect notebook work while preserving grade synchronization to the LMS.
Governance for the rollout focuses on instructor-facing workflow changes, with course administrators managing assignment templates and grading rules, and instructors adopting the autograding and notebook review processes. Vocareum states the integration streamlines notebook-based assignments and grading workflows, improving instructor productivity and student assessment without detailed quantified outcomes provided.
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