AI Buyer Insights:

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Michelin, an e2open customer evaluated Oracle Transportation Management

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Michelin, an e2open customer evaluated Oracle Transportation Management

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Apps Purchases: 10+ Million Software Purchases

App 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

  • Content Management
Logo Customer Industry Empl. Revenue Country Vendor Application Category When VAR/SI Insight Insight Source
Fora Financial Banking and Financial Services 200 $20M United States Ocrolus Ocrolus Intelligent Document Processing 2017 n/a In 2017, Fora Financial implemented Ocrolus as an Intelligent Document Processing solution to automate bank statement review and embed structured document analysis into its underwriting workflow. Fora Financial implemented Ocrolus to reduce manual review steps in small business loan origination and to operationalize automated data capture across its underwriting pipeline. Ocrolus was deployed using its API-driven ingestion and analysis layer, combining crowdsourcing quality control with machine learning to extract transactional data and generate risk analytics. Ocrolus returns actionable data elements and risk signals from bank statements and other loan files, with the company reporting 99+% accuracy for its analysis, enabling automated population of credit model inputs. The implementation integrated Ocrolus outputs directly into Fora Financial underwriting and operations processes, parallelizing underwriting tasks and reducing handoffs between underwriting, risk management, and operations teams. Deployment covered core lending workflows for online small business lending, supporting faster decisioning and higher throughput in loan origination. Governance focused on embedding Ocrolus into end-to-end underwriting orchestration, standardizing document intake, exception handling, and downstream data consumption by credit models. The partnership produced explicitly stated outcomes, including faster, more accurate end-to-end underwriting and positioning Fora Financial to scale originations, with public reporting that the lender was poised to eclipse $400 million in annual originations over the following year.
Arc Home Banking and Financial Services 220 $22M United States Ocrolus Ocrolus Intelligent Document Processing 2019 n/a In 2019, Arc Home implemented Ocrolus as its Intelligent Document Processing solution to support borrower income analysis and underwriting for mortgage products. The deployment supported meticulous income assessments on over 700 prospective and active loan clients, and was applied specifically to Arc Home Non-QM product lines including 12 & 24 month Personal and Business Bank Statement Programs, 1099 self-employed borrowers, asset utilization, no-ratio loan program, foreign national loans, DSCR loans, and the Clean-Slate program. Ocrolus was configured to automate document ingestion, structured data extraction, and business data analytics workflows consistent with Intelligent Document Processing capabilities, and Ocrolus Business Data Analytics software was used to surface transactional patterns for income calculations. The solution’s processing approach was tuned for Non-QM 12 & 24 month bank statement calculations and asset utilization logic, enabling case-level validation of usual deposit patterns and the removal of outlying transactions as part of income determination. Operational use occurred alongside Meridian Link mortgage origination and operations programs, reflecting working knowledge of both platforms in day-to-day underwriting and loan processing. The implementation covered underwriting teams, account executives, sales assistants, mortgage brokers, and loan officers, with Ocrolus outputs feeding into underwriting workflow and mortgage origination review processes. Governance and workflow changes included structured case-by-case review protocols, training, and guideline alignment. Arc Home personnel trained three new hires on Non-QM bank statement calculations and asset utilization programs, and team members regularly discussed Arc Home, Fannie Mae, and Non-QM guideline interpretations to ensure consistent application of underwriting rules. The operational posture emphasized accuracy and speed, with individual case reviews to capture all relevant business revenue and to identify usual deposit behaviors, and with established turnaround windows from same-day to 48 hours to meet production goals. Ocrolus was used as the Intelligent Document Processing engine to support rapid, rules-aligned income analysis while embedding business data analytics into underwriting workflows.
Banking and Financial Services 500 $265M United States Ocrolus Ocrolus Intelligent Document Processing 2017 n/a
Banking and Financial Services 1002 $787M United States Ocrolus Ocrolus Intelligent Document Processing 2018 n/a
Banking and Financial Services 5000 $2.7B United States Ocrolus Ocrolus Intelligent Document Processing 2018 n/a
Banking and Financial Services 1804 $2.0B United States Ocrolus Ocrolus Intelligent Document Processing 2018 n/a
Banking and Financial Services 850 $100M United States Paradatec Paradatec AI-Cloud Intelligent Document Processing 2020 n/a
Banking and Financial Services 250 $26M United States Paradatec Paradatec AI-Cloud Intelligent Document Processing 2020 n/a
Insurance 503 $1.1B United States TRUE AI SoftWorks AI Intelligent Document Processing 2019 n/a
Insurance 800 $310M United States TRUE AI SoftWorks AI Intelligent Document Processing 2020 n/a
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