List of NewgenONE AI and Data Science Customers
Newgen Software
A-6, Satsang Vihar Marg, Qutab Institutional Area,
New Delhi, 110 067,
India
New Delhi, 110 067,
India
91 11 4077 0100
Professional Services
4500
$145M
Since 2010, our global team of researchers has been studying NewgenONE AI and Data Science customers around the world, 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.
Each quarter our research team identifies companies that have purchased NewgenONE AI and Data Science for Analytics and BI from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using NewgenONE AI and Data Science for Analytics and BI include: United Community, a United States based Banking and Financial Services organisation with 2979 employees and revenues of $901.0 million, Old Second Bancorp, a United States based Banking and Financial Services organisation with 877 employees and revenues of $280.0 million, Enterprise Bank - Lowell, MA, a United States based Banking and Financial Services organisation with 600 employees and revenues of $43.0 million and many others.
Contact us if you need a completed and verified list of companies using NewgenONE AI and Data Science, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The NewgenONE AI and Data Science customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Enterprise Bank - Lowell, MA | Banking and Financial Services | 600 | $43M | United States | Newgen | NewgenONE AI and Data Science | Analytics and BI | 2024 | n/a |
In 2024, Enterprise Bank - Lowell, MA implemented NewgenONE AI and Data Science as part of a Newgen commercial lending deployment built on the NewgenONE low-code platform. Enterprise Bank deployed NewgenONE AI and Data Science, categorized as Analytics and BI, to consolidate commercial loan origination workflows and to enable straight-through processing while improving reporting and decisioning for its commercial lending function.
The deployment centered on Newgen’s commercial lending solution built on the NewgenONE low-code foundation, incorporating workflow orchestration, document capture and model-driven decisioning components that support application intake, underwriting workflow routing and automated adjudication. Newgen described the solution as AI-enabled, indicating use of NewgenONE AI and Data Science capabilities for analytics, scoring and decision support embedded into origination flows and reporting pipelines.
Operational scope covered Enterprise Bank’s commercial lending operations across its Massachusetts and New Hampshire footprint, centralizing origination, review and reporting workflows within a single platform. The implementation emphasized low-code configuration and business rule management to allow faster updates to underwriting logic, and it consolidated reporting and decisioning data into the NewgenONE platform to support centralized Analytics and BI consumption.
Governance changes focused on establishing centralized workflow governance and decision review lanes for exceptions to support straight-through processing targets, with business analysts empowered to adjust rules through the platform’s low-code tools. The implementation explicitly targeted improved reporting and automated decisioning in commercial lending, aligning platform instrumentation, workflow orchestration and AI enabled analytics under NewgenONE AI and Data Science.
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Old Second Bancorp | Banking and Financial Services | 877 | $280M | United States | Newgen | NewgenONE AI and Data Science | Analytics and BI | 2024 | n/a |
In 2024, Old Second Bancorp deployed NewgenONE AI and Data Science to underpin a Digital Account Opening and Maintenance initiative, aligning Analytics and BI capabilities with customer onboarding and expanded service request handling across its U.S. retail bank operations. The implementation centers on NewgenONE AI and Data Science as the analytics foundation for orchestrating onboarding workflows and supporting decisioning for account maintenance activities.
The deployment leverages the NewgenONE AI-first low-code platform to assemble data science workflows, model-driven decisioning, and operational reporting, inferred capabilities consistent with the Analytics and BI category. Configuration work emphasized low-code workflow orchestration and analytics instrumentation to enable automated scoring and ensemble inference patterns for routing and exception handling during account opening and service requests.
Operational coverage targeted customer onboarding, account maintenance, and related operations and customer service functions, with the solution applied to digitize end-to-end account opening and to broaden the set of supported service requests. The NewgenONE AI and Data Science implementation was structured to feed analytics outputs into operational queues and to generate dashboards for monitoring onboarding throughput and exception backlogs.
Governance centered on process standardization and rollout of digitized account opening and maintenance workflows, with change efforts focused on reducing errors and accelerating time-to-market for new service request types. Reported objectives from the engagement include modernizing customer onboarding, expanding supported service requests, and reducing errors and time-to-market, achieved through the NewgenONE AI and Data Science platform and its Analytics and BI capabilities.
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United Community | Banking and Financial Services | 2979 | $901M | United States | Newgen | NewgenONE AI and Data Science | Analytics and BI | 2025 | n/a |
In 2025 United Community implemented NewgenONE AI and Data Science to modernize its small business lending lifecycle, using Newgen's low-code, AI-enabled lending platform. The deployment targets Analytics and BI capabilities to digitize end-to-end processing for SBA loans, term loans, lines of credit, and construction lending and to centralize lending data for operational analytics and decision support.
The implementation configured NewgenONE AI and Data Science to support core lending workflows including digital intake and document capture, automated classification and data extraction, AI-assisted credit decisioning, workflow orchestration for origination and underwriting, and loan servicing automation. Low-code configuration was used to adapt business rules across the bank's small business products, enabling business analysts to modify eligibility and workflow rules without heavy engineering cycles.
Integrations were implemented to connect the Newgen platform with United Community core systems and downstream servicing interfaces, preserving existing data flows while introducing an Analytics and BI layer for consolidated loan data and model outputs. Operational coverage spans lending operations, credit underwriting, loan servicing, and front-line channels that originate small business loans, aligning the application with both transaction processing and analytical credit functions.
Governance emphasized process standardization and rule lifecycle management, with NewgenONE AI and Data Science supporting versioned decision rules, audit trails, and staged rollouts across product types. Rollout sequencing focused on phasing by loan product to contain operational risk and to allow iterative tuning of AI-assisted decisioning and orchestration workflows.
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Buyer Intent: Companies Evaluating NewgenONE AI and Data Science
ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating NewgenONE AI and Data Science. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating NewgenONE AI and Data Science for Analytics and BI include:
- YoBoHo New Media, a India based Media organization with 70 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
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FAQ - APPS RUN THE WORLD NewgenONE AI and Data Science Coverage
NewgenONE AI and Data Science is a Analytics and BI solution from Newgen.
Companies worldwide use NewgenONE AI and Data Science, from small firms to large enterprises across 21+ industries.
Organizations such as United Community, Old Second Bancorp and Enterprise Bank - Lowell, MA are recorded users of
NewgenONE AI and Data Science for Analytics and BI.
Companies using NewgenONE AI and Data Science are most concentrated in Banking and Financial Services, with adoption spanning over 21 industries.
Companies using NewgenONE AI and Data Science are most concentrated in United States, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of NewgenONE AI and Data Science across Americas, EMEA, and APAC.
Companies using NewgenONE AI and Data Science range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 66.67%, large organizations with 1,001-10,000 employees - 33.33%, and global enterprises with 10,000+ employees - 0%.
Customers of NewgenONE AI and Data Science include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.
Contact APPS RUN THE WORLD to access the full verified NewgenONE AI and Data Science customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Analytics and BI.