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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Envoy Mortgage | Banking and Financial Services | 1020 | $300M | United States | Tungsten Automation | Tungsten Transact (formerly Ephesoft Transact) | Intelligent Document Processing | 2017 | n/a | In 2017 Envoy Mortgage implemented Tungsten Transact (formerly Ephesoft Transact) as its Intelligent Document Processing platform to automate high volume mortgage document handling. The engagement was executed by Envoy Mortgage application development resources in Houston during March 2017 to March 2018 and targeted lending and servicing document workflows. The implementation configured Tungsten Transact workflows for document classification, data extraction, and verification, and included development of Java plugins inside the Ephesoft environment to customize and optimize process flow. Backend processing services were implemented with Spring Boot and Spring Data JPA Hibernate, and persistent storage was handled in a SQL environment, enabling automated parsing and structured data capture. Document processing was exposed through internal web services and a web based front end built with HTML5, CSS, JavaScript, Bootstrap, and JQuery with AJAX for user review and exception handling. Multithreading Java applications were developed to automate document downloads and uploads to the processing pipeline, linking Tungsten Transact captured outputs to downstream lending operations and processing systems. Operational governance combined developer led configuration and plugin management with direct end user collaboration to gather requirements, tune classification rules, and resolve production issues. The deployment centralized document capture and verification across Envoy Mortgage lending and servicing teams in Houston, establishing a repeatable workflow and a maintained set of extraction and verification configurations within Tungsten Transact. | |
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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 | 500 | $100M | United States | Hyland | Hyland OnBase | Content Management | 2019 | KeyMark |
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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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