AI Buyer Insights:

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Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Michelin, an e2open customer evaluated Oracle Transportation Management

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

List of Guild AI Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight Insight Source
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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