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Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

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

List of Stardog Semantic AI Platform Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
Boehringer Ingelheim Life Sciences 54500 $28.9B Germany Stardog Stardog Semantic AI Platform Generative AI Platforms 2021 n/a
In 2021, Boehringer Ingelheim implemented the Stardog Semantic AI Platform to create a semantic layer over its global R&D data lake, using the application as part of its Generative AI Platforms footprint to accelerate research and knowledge discovery. The deployment positioned the Stardog Semantic AI Platform as the central knowledge access layer for R&D workflows, enabling queryable, integrated metadata and domain concepts across disparate study and gene datasets. The implementation emphasized wiki-style exploration of studies and genes, providing researchers with conversational and navigable knowledge views rather than forcing repeated ETL and dataset copies. Data virtualization was a core capability, allowing analysts and bioinformaticians to query integrated views without creating redundant storage, and reducing the need for traditional ETL pipelines. Integration scope explicitly included the R&D data lake and global R&D operations, with the rollout governed from the company headquarters in Germany and adopted by research groups and analytics teams worldwide. Governance centered on a centralized semantic model to standardize concepts and reduce duplication, while workflows shifted toward virtualized access and curated knowledge exploration. The deployment increased efficiency for analysts and bioinformaticians and produced measurable cost savings via data virtualization, reflecting an operational shift in how Boehringer Ingelheim uses Generative AI Platforms for research discovery and data access.
Macmillan Education Education 51 $6M United Arab Emirates Stardog Stardog Semantic AI Platform Generative AI Platforms 2018 n/a
In 2018, Macmillan Education implemented the Stardog Semantic AI Platform. The deployment was positioned within the Generative AI Platforms category and focused on powering semantic search and research workflows by unifying heterogeneous data sources into a single knowledge graph to enable intent aware search and fast exploration. The implementation built core knowledge graph architecture inside the Stardog Semantic AI Platform, with workstreams for entity modeling, ontology alignment, semantic indexing, and query optimization to support intent aware retrieval. The build phase lasted 18 month and produced a production knowledge graph of 100 million triples, with the platform tuned for subsecond query performance. Operational coverage centered on research and publishing functions, bringing knowledge graph driven search into editorial and researcher workflows and supporting approximately 50,000 users. Governance emphasized ontology lifecycle management and access controls to embed semantic discovery into existing workflows, and the deployment centralized diverse data sources to provide consistent, intent aware search across the organization.
NASA Aerospace and Defense 18000 $24.0B United States Stardog Stardog Semantic AI Platform Generative AI Platforms 2020 n/a
In 2020, NASA implemented Stardog Semantic AI Platform. The Stardog Semantic AI Platform was deployed in the United States as an Enterprise Knowledge Graph to unify engineering and systems data and to support mission-critical decision making within NASA. As a solution positioned in the Generative AI Platforms category, the implementation centralized semantic models and a knowledge graph layer to improve cross-discipline traceability and reduce time-to-answer for engineering queries. The deployment emphasized unified data representation across engineering and systems engineering domains, enabling consolidated discovery, semantic search, and knowledge-level linking of requirements, designs, and test data. Stardog became integrated into NASA operations and workflows supporting Artemis-related programs, providing operational coverage across engineering teams engaged in program development and systems integration. Integration focused on embedding the Enterprise Knowledge Graph into mission workflows to surface traceability and lineage across disparate engineering artifacts. The rollout delivered explicit operational outcomes reported by NASA, including a reported 10x increase in engineering productivity and reduced risk for Artemis-related programs, alongside faster answers to cross-discipline engineering questions as Stardog was incorporated into ongoing NASA operations.
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FAQ - APPS RUN THE WORLD Stardog Semantic AI Platform Coverage

Stardog Semantic AI Platform is a Generative AI Platforms solution from Stardog.

Companies worldwide use Stardog Semantic AI Platform, from small firms to large enterprises across 21+ industries.

Organizations such as Boehringer Ingelheim, NASA and Macmillan Education are recorded users of Stardog Semantic AI Platform for Generative AI Platforms.

Companies using Stardog Semantic AI Platform are most concentrated in Life Sciences, Aerospace and Defense and Education, with adoption spanning over 21 industries.

Companies using Stardog Semantic AI Platform are most concentrated in Germany, United States and United Arab Emirates, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Stardog Semantic AI Platform across Americas, EMEA, and APAC.

Companies using Stardog Semantic AI Platform 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 Stardog Semantic AI Platform 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 Stardog Semantic AI Platform customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Generative AI Platforms.