List of Starseed AI Customers
Starseed
312 Arizona Ave,
Santa Monica, 90401, CA,
United States
Santa Monica, 90401, CA,
United States
n/a
Professional Services
10
$1M
Since 2010, our global team of researchers has been studying Starseed 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 Starseed AI for Analytics and BI 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 Starseed AI for Analytics and BI include: Walmart, a United States based Retail organisation with 2100000 employees and revenues of $681.00 billion, Microsoft, a United States based Professional Services organisation with 228000 employees and revenues of $320.00 billion, Unilever, a United Kingdom based Consumer Packaged Goods organisation with 115964 employees and revenues of $71.27 billion, United States Department of Defense, a United States based Government organisation with 1000 employees and revenues of $250.0 million and many others.
Contact us if you need a completed and verified list of companies using Starseed 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.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Microsoft | Professional Services | 228000 | $320.0B | United States | Starseed AI | Starseed AI | Analytics and BI | 2025 | n/a |
In 2025, Microsoft implemented Starseed AI, deploying Starseed AI in the Analytics and BI category. The vendor lists Microsoft on its homepage and publishes an Azure Marketplace offering, indicating a commercial relationship where Starseed’s analytics and forensic AI runs on Microsoft Azure to address brand-protection use cases.
The implementation uses a cloud-hosted, Azure Marketplace provisioned architecture, with Starseed AI delivering analytics dashboards, Azure-integrated monitoring, and legal-ready reporting as primary functional modules inferred from vendor materials. These modules align with Analytics and BI workflows for forensic analysis, content provenance, and brand monitoring.
Operational coverage is centered on brand-protection workflows and investigatory reporting, supporting business functions such as brand protection and legal investigations as described by the vendor and marketplace listing. Integration is explicitly tied to Microsoft Azure infrastructure, with the deployment model facilitating enterprise cloud tenancy and marketplace procurement.
Governance implications emphasize structured forensic outputs and legal-ready reporting to support compliance and evidentiary workflows for brand-protection and legal teams, reflecting the capabilities highlighted for Starseed AI. Starseed AI in the Analytics and BI category therefore operates as a cloud-native analytics and forensic layer for Microsoft’s brand-protection and investigatory functions.
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Unilever | Consumer Packaged Goods | 115964 | $71.3B | United Kingdom | Starseed AI | Starseed AI | Analytics and BI | 2025 | n/a |
In 2025 Unilever deployed Starseed AI for brand protection and counterfeit and unauthorized-seller detection across the EMEA region. Unilever appears on the Starseed AI homepage as a branded customer using Starseed AI’s forensic capabilities, positioning the engagement within an Analytics and BI program for marketplace surveillance.
The deployment centers on forensic counterfeit detection, SKU tracking and legal-ready reporting modules inferred from vendor materials, with Starseed AI providing the underlying analytics and case assembly. Starseed AI ingests SKU and seller signals to surface anomalous patterns, prioritize potential infringements, and produce evidentiary reports suitable for enforcement workflows. These modules represent core Analytics and BI functionality applied to brand protection and marketplace surveillance.
Operational coverage is focused on the EMEA region and business functions engaged include brand protection, e-commerce marketplace surveillance, legal and compliance, and supply chain monitoring. The implementation architecture is organized around data ingestion pipelines, analytics processing engines, and report generation components that feed internal case management and legal workflows. Starseed AI functions as the analytics layer responsible for detection, SKU-level tracking, and legal-ready reporting.
Governance configurations are oriented toward legal-ready output and case packaging to support enforcement and takedown actions, enabling Brand Protection and Legal teams to operationalize evidence produced by Starseed AI. Rollout and operational responsibilities emphasize analytics-driven triage and legal escalation workflows within Unilever's brand protection function.
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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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Walmart | Retail | 2100000 | $681.0B | United States | Starseed AI | Starseed AI | Analytics and BI | 2025 | n/a |
In 2025, Walmart implemented Starseed AI, adopting the Starseed AI application in the Analytics and BI category to support monitoring of counterfeit products and unauthorized sellers. Public vendor site placement of Walmart among logos indicates the tool is used across online and physical channels in North America for marketplace and in-store surveillance.
The implementation narrative centers on two inferred functional modules based on Starseed product descriptions, market surveillance and takedown and legal-report generation. Consistent with Analytics and BI capabilities, the Starseed AI application is described as delivering automated detection and alerting, structured evidence packaging, and report generation for downstream review, which align with brand protection and compliance workflows.
Operational coverage is described across online marketplaces and brick and mortar channels within North America, and the system is positioned to feed business functions including brand protection, marketplace operations, loss prevention and legal teams. Governance appears organized around surveillance to takedown workflows and legal reporting, with operational ownership implied for brand protection and legal compliance groups.
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| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
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FAQ - APPS RUN THE WORLD Starseed AI Coverage
Starseed AI is a Analytics and BI solution from Starseed AI.
Companies worldwide use Starseed AI, from small firms to large enterprises across 21+ industries.
Organizations such as Walmart, Microsoft, Unilever and United States Department of Defense are recorded users of
Starseed AI for Analytics and BI.
Companies using Starseed AI are most concentrated in Retail, Professional Services and Consumer Packaged Goods, with adoption spanning over 21 industries.
Companies using Starseed AI are most concentrated in United States and United Kingdom, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Starseed AI across Americas, EMEA, and APAC.
Companies using Starseed AI range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 25%, large organizations with 1,001-10,000 employees - 0%, and global enterprises with 10,000+ employees - 75%.
Customers of Starseed AI 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 Starseed AI customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Analytics and BI.