Apps Purchases: 10+ Million Software Purchases
Founded in 2010, APPS RUN THE WORLD is a leading technology intelligence and market-research company devoted to the application space. Leveraging a rigorous data-centric research methodology, we ask the simple B2B sales intelligence question: Who’s buying enterprise applications from whom and why?
Our global team of 50 researchers has been studying the digital transformation initiatives being undertaken by 2 million + companies including technographic segmentation of 10 million ERP, EPM, CRM, HCM, Procurement, SCM, Treasury software purchases, 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.
Apps Run The World Buyer Insight and Technographics Customer Database has over 100 data fields that detail company usage of emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database, and different on-prem and cloud apps by function, customer size (employees, revenues), industry, country, implementation status, year deal won, partner involvement, Line of Business Key Stakeholders and key decision-makers contact details, including the systems being used by Fortune 1000 and Global 2000 companies.
Apply Filters For 10+ Million Software Purchases
- Government
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | VAR/SI | Insight | Insight Source |
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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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United States Department of Defense | Government | 1000 | $250M | United States | SUSE Group | SUSE Linux Enterprise Base Container Images | Operating System (OS) | 2024 | n/a | In 2024, the United States Department of Defense began consuming SUSE Linux Enterprise Base Container Images via Platform One's Iron Bank catalog to provision vetted, hardened base images for containerized development. SUSE Linux Enterprise Base Container Images is used as an Operating System (OS) foundation for DoD DevSecOps pipelines and CI/CD workloads across Department of Defense software build and deployment processes. The implementation centers on SLE BCI as a hardened OS base image family certified into Iron Bank, providing standard container runtime layers and package sources that teams reference during image composition and continuous integration. Functional capabilities implemented include provision of a vetted OS image lineage for container builds, supply-chain attestation metadata, and hardened configuration that aligns with container security best practices common to Operating System (OS) base images. Integration scope is explicitly Platform One's Iron Bank as the distribution registry, with SLE BCI made available to DoD CI/CD pipelines and DevSecOps toolchains in the United States. Operational coverage is focused on Department of Defense development teams using Platform One services, where SLE BCI serves as the canonical OS base layer for containerized applications. Governance and process alignment follow Iron Bank vetting and DoD software supply-chain security practices, with SLE BCI catalog inclusion intended to standardize base image selection and simplify compliance review in pipeline workflows. SUSE announced availability and highlighted improved software supply-chain security and availability of SLE BCI for DoD CI/CD workloads starting in 2024. | |
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Government | 1000 | $250M | United States | ThreatQ | ThreatQ Threat Intelligence Platform | Threat Modeling | 2021 | n/a |
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Government | 1000 | $250M | United States | Tri-Force Consulting | Tri-Force EZ Leads | Lead Generation | 2019 | n/a |
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Government | 1000 | $250M | United States | WinMagic | WinMagic SecureDoc | Endpoint Detection and Response (EDR) | 2007 | n/a |
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Government | 1000 | $250M | United States | X.ai | Grok | Generative AI Platforms | 2025 | n/a |
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Government | 100000 | $230.0B | United States | SAP | SAP Concur Expense | Expense Management | 2014 | n/a |
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Government | 100000 | $230.0B | United States | UKG | UKG WebTA (ex Kronos WebTA) | Time and Attendance | 2007 | n/a |
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Government | 100000 | $230.0B | United States | HireRoad | HireRoad Acendre Recruitment | Recruiting,Applicant Tracking System | 2016 | n/a |
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Government | 100000 | $230.0B | United States | OneSpan | OneSpan eSignLive | Digital Signing | 2018 | n/a |
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