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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- Content Management
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | VAR/SI | Insight | Insight Source |
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Alliance Bank | Banking and Financial Services | 3959 | $461M | Malaysia | Tungsten Automation | Tungsten Transact (formerly Ephesoft Transact) | Intelligent Document Processing | 2018 | n/a | In 2018, Alliance Bank implemented Tungsten Transact (formerly Ephesoft Transact) as an Intelligent Document Processing platform to digitise physical documents and automate loan documentation capture for its loan origination workflows. The deployment targeted the Bank and its subsidiaries including Alliance Investment Bank Berhad and Alliance Islamic Bank Berhad, with an operational focus on back office and loan origination processes that previously relied on manual handoffs. Tungsten Transact was configured to provide document ingestion, optical character recognition, automated classification, data extraction and exported output formatting, with a rule based engine and machine learning components used to refine capture accuracy. The solution exposed pre coded templates and configuration tooling so non technical users could modify extraction rules and templates, and the Bank reported the ability to adjust program coding with minimal vendor involvement. Integration points included document input from the loan origination system s OCR flow or multi functional printers for scanned intake, and export of categorized, structured data in multiple formats for download into the loan origination system. Operational coverage extended across the Bank s consumer, SME, corporate and Islamic banking loan processing channels and supporting branch and digital delivery channels throughout the country. Governance and process changes centered on empowering business users to manage classification and extraction rules via the platform s rule based engine and template library, reducing dependence on developer coding for day to day adjustments. Reported benefits from using Tungsten Transact include digitising information for easier extraction and analysis, improving productivity, enabling fraud detection and minimising risk of errors. | |
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Allied Mortgage Group | Banking and Financial Services | 350 | $38M | United States | Gateless | Gateless AI Mortgage | Intelligent Document Processing | 2020 | n/a | In 2020, Allied Mortgage Group implemented Gateless AI Mortgage to automate and scale its closing package document workflow. Gateless AI Mortgage was deployed as an Intelligent Document Processing solution to address highly manual, error prone closing and post closing document handling for the full service residential lender originating roughly one billion dollars a year. The deployment used a front end scanning process where closing package documents are scanned to generate a PDF that is automatically placed onto a server and picked up by AI Mortgages, referred to as AIM. AIM locates the loan number on incoming documents, validates the loan record within Encompass, associates documents to the correct loan, indexes and classifies each document, and returns files to the appropriate eFolders in Encompass. The implementation includes automated document classification, indexing, optical character recognition driven data extraction, and rule based validation flows consistent with Intelligent Document Processing capabilities. AIM also monitors Encompass for trailing documents and missing package items, processing, classifying, indexing and filing those documents back into the correct Encompass eFolders without manual intervention. The integration with Encompass is central to operational coverage, enabling continuous post closing intake, automated reconciliation of document packages, and a server based pickup and processing conduit between the scanning front end and the loan origination system. The scope of operation centers on closing and post closing functions, with direct impact on processing teams and document management workflows. Outcomes reported by Allied are explicit and substantial, more than three thousand loans have been run through the system, classification and filing accuracy reached 99 percent, and one staffer can complete the document review process, excluding physical handling, for 30 to 35 loans in 30 minutes. Allied reduced manual effort dramatically, with a stated comparison of 650 to 700 hours of manual work reduced to 25 man hours, and the company reports annual post closing cost savings of one hundred twenty six thousand dollars. Kyle Manseau, SVP Operations at Allied Mortgage Group, described the change as materially positive for staffing and workflows, with processors redeployed to higher value responsibilities. | |
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Banking and Financial Services | 1000 | $200M | United States | Gateless | Gateless AI Mortgage | Intelligent Document Processing | 2020 | n/a |
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Banking and Financial Services | 650 | $190M | United States | Gateless | Gateless AI Mortgage | Intelligent Document Processing | 2020 | n/a |
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Banking and Financial Services | 300 | $30M | United States | Google Lending DocAI | Intelligent Document Processing | 2020 | n/a |
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Banking and Financial Services | 6000 | $2.0B | United States | Google Lending DocAI | Intelligent Document Processing | 2020 | n/a |
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Banking and Financial Services | 420 | $75M | United States | BIS | Grooper Platform | Intelligent Document Processing | 2019 | n/a |
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Banking and Financial Services | 532 | $137M | United States | Hyland | Hyland OnBase | Content Management | 2020 | n/a |
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Banking and Financial Services | 750 | $72M | United States | Automation Anywhere | IQ Bot | Intelligent Document Processing | 2019 | n/a |
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Banking and Financial Services | 17000 | $7.5B | United States | Automation Anywhere | IQ Bot | Intelligent Document Processing | 2019 | n/a |
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