List of Guild AI Customers
Since 2010, our global team of researchers has been studying Guild AI 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 Guild AI for AI Frameworks and Libraries 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 Guild AI for AI Frameworks and Libraries include: National University of Singapore, a Singapore based Education organisation with 13167 employees and revenues of $3.00 billion, Posit, a United States based Professional Services organisation with 500 employees and revenues of $80.0 million and many others.
Contact us if you need a completed and verified list of companies using Guild AI, 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 Guild AI 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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National University of Singapore | Education | 13167 | $3.0B | Singapore | guild.ai | Guild AI | AI Frameworks and Libraries | 2020 | n/a |
In 2020, National University of Singapore researchers used Guild AI, categorized as AI Frameworks and Libraries, to track, compare, and reproduce machine learning experiments for a robotics visual tactile sensing research project in Singapore. The adoption supported work that contributed to published RSS research, with an explicit focus on experimental rigor and repeatability.
Guild AI was embedded in the NUS research code repository to provide experiment tracking and run management capabilities. Functional usage included capture of run metadata, logging of artifacts and metrics, and structured comparison of experiment runs to support reproducible training and evaluation workflows.
The operational scope centered on NUS robotics and tactile sensing research teams and academic research functions related to model evaluation and publication preparation. Use of Guild AI enabled more disciplined experiment lifecycle tracking and governance, improving reproducibility for the RSS publications through structured experiment records and reproducible run manifests.
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Posit | Professional Services | 500 | $80M | United States | guild.ai | Guild AI | AI Frameworks and Libraries | 2023 | n/a |
In 2023 Posit implemented Guild AI as part of an ML and analytics initiative in the United States, deploying the Guild AI application to enable reproducible experiment tracking for R users. Posit is the copyright holder and maintainer of the guildai R package, which provides an R interface that integrates Guild AI experiment tracking into R based machine learning workflows, and the package was published on CRAN in March 2023. This implementation aligns with the AI Frameworks and Libraries category and positions Guild AI as the experiment tracking layer for R driven analytics.
The guildai R package functions as the integration surface between R scripts and the Guild AI runtime, enabling standard experiment tracking capabilities such as run capture, metadata and artifact logging, and reproducible experiment management consistent with AI Frameworks and Libraries practices. Operational coverage is focused on R based analytics teams within Posit in the United States, with Posit maintaining governance and package releases on CRAN, and managing versioning and updates through the guildai R package maintenance process. The narrative emphasizes the relationship Posit Guild AI AI Frameworks and Libraries ML analytics, with implementation centered on embedding experiment tracking into existing R workflows rather than introducing new external integrations.
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Buyer Intent: Companies Evaluating Guild AI
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