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.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | VAR/SI | Insight | Insight Source |
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Standard Chartered Bank | Banking and Financial Services | 80695 | $19.8B | United Kingdom | C3.ai | C3 AI Anti-Money Laundering | AML, Fraud and Compliance | 2021 | n/a | In 2021, C3.ai disclosed Standard Chartered Bank as a production-deployment customer in Financial Services, indicating the bank had moved C3.ai enterprise applications into production to strengthen risk, compliance, or operational analytics. The disclosure and C3.ai’s Financial Services Suite positioning imply deployment of C3 AI Anti-Money Laundering within Standard Chartered’s AML, Fraud and Compliance technology footprint across EMEA and global operations. The inferred implementation aligns with category-aligned capabilities common to C3 AI Anti-Money Laundering, including transaction monitoring, entity resolution, risk scoring, alert generation, case management, and model orchestration. Configuration would be expected to include data ingestion pipelines for transactional and customer attribute feeds, analytic model deployment for suspicious pattern detection, and rule or model-based alerting tied to investigative workflows. Operationally the production disclosure suggests integration with internal transaction processing feeds, compliance data stores, and investigative case management workflows, enabling analytics-driven alerts to compliance and fraud teams. Governance and controls are likely organized around model validation, alert triage procedures, and centralized compliance reporting to meet AML, Fraud and Compliance oversight requirements. | |
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Standard Chartered Bank | Banking and Financial Services | 80695 | $19.8B | United Kingdom | Quantexa | Quantexa Decision Intelligence Platform | AML, Fraud and Compliance | 2020 | n/a | In 2020 Standard Chartered deployed Quantexa Decision Intelligence Platform in the AML, Fraud and Compliance category to support global financial crime investigations, consolidating data across markets to create unified customer and counterparty views. The implementation targeted the bank's AML and financial crime investigation process area, with scope across the institution's global footprint and investigator teams responsible for thematic and cross-market inquiries. Quantexa Decision Intelligence Platform was configured to deliver dynamic entity resolution and network analytics, enabling automated data gathering and the construction of 360 degree customer and counterparty views. Functional capabilities implemented include entity resolution, network analysis for hidden network detection, and investigative case enrichment to surface connections across disparate records and markets. Operationally the deployment emphasized data consolidation across markets and automated assembly of investigative dossiers, improving investigator workflow by reducing manual data collection. The platform ingests and reconciles data to present linked entity graphs and contextualized profiles, supporting downstream investigative decisioning and thematic investigations across regions. Governance and process changes focused on embedding the Quantexa Decision Intelligence Platform into existing financial crime workflows, standardizing how analyst teams access consolidated entity views and network insights. The deployment automated data gathering and applied network analytics to improve investigator productivity and enable more efficient thematic investigations across the bank's global footprint. | |
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Healthcare | 50000 | $19.8B | United States | Serrala | Serrala AutoBank | Treasury Management | 2019 | n/a |
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Oil, Gas and Chemicals | 16060 | $19.8B | United States | Serrala | Serrala AutoBank | Treasury Management | 2015 | n/a |
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Professional Services | 349800 | $19.7B | United States | ION Investment Group | Reval Cloud Platform | Treasury Management | 2015 | n/a |
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Retail | 10082 | $19.7B | United States | Kyriba | Kyriba Treasury | Treasury Management | 2019 | n/a |
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Automotive | 141000 | $19.7B | Switzerland | ION Investment Group | Reval Cloud Platform | Treasury Management | 2008 | n/a |
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Automotive | 141000 | $19.7B | Switzerland | OneTrust | OneTrust Cookie Consent | Governance, Risk and Compliance | 2018 | n/a |
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Automotive | 141000 | $19.7B | Switzerland | OneTrust | OneTrust CookiePro | Governance, Risk and Compliance | 2019 | n/a |
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Professional Services | 49500 | $19.7B | United States | ION Investment Group | Reval Cloud Platform | Treasury Management | 2015 | n/a |
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