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Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Michelin, an e2open customer evaluated Oracle Transportation Management

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

List of Starseed AI Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight Insight Source
United States Department of Defense Government 1000 $250M United States Starseed AI Starseed AI Analytics and BI 2024 n/a In 2024, the United States Department of Defense implemented Starseed AI as an Analytics and BI application. Starseed AI was developed in collaboration with the DoD to deliver an Ontology Unification System, a vendor‑claimed capability described by Starseed AI that enables cross‑system semantic translation across intelligence data sources. The implementation centers on an ontology unification layer that performs semantic mapping and translation of heterogeneous intelligence datasets, supporting forensic analysis and supply chain counterfeit detection use cases in the United States. Starseed AI as deployed provides canonical ontology alignment, entity resolution, and normalized data views intended to reduce semantic fragmentation between disparate intelligence systems. Architecturally the deployment emphasizes a semantic integration plane, with ingestion pipelines for source normalization, an ontology mapping engine for term reconciliation, and API‑level interfaces for data exchange with upstream intelligence systems. Configuration and operational modules align with Analytics and BI workflows, including taxonomy management, semantic query translation, and role based access to translated intelligence outputs. Starseed AI states this engagement was a collaboration with the Department of Defense and the procurement and start dates are not published, the 2024 year above is an estimate derived from vendor timeline statements. Governance implications described by the vendor include introducing centralized ontology governance, data stewardship responsibilities, and workflow changes to manage semantic mappings and access controls across participating intelligence teams.
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