List of FICO Score Customers
Bozeman, 59715, MT,
United States
Since 2010, our global team of researchers has been studying FICO Score 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 FICO Score for Predictive Analytics 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 FICO Score for Predictive Analytics include: Movement Mortgage, a United States based Banking and Financial Services organisation with 4000 employees and revenues of $1.20 billion, Guild, a United States based Banking and Financial Services organisation with 4400 employees and revenues of $1.16 billion, CMG Financial, a United States based Banking and Financial Services organisation with 3000 employees and revenues of $850.0 million, Octane, a United States based Banking and Financial Services organisation with 550 employees and revenues of $75.0 million and many others.
Contact us if you need a completed and verified list of companies using FICO Score, 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 FICO Score 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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CMG Financial | Banking and Financial Services | 3000 | $850M | United States | FICO | FICO Score | Predictive Analytics | 2024 | n/a |
In 2024, CMG Financial adopted FICO Score 10 T as part of its FICO Score deployment to enhance credit decisioning across its mortgage business. The program targets CMG Mortgage, Inc., the companys retail lending channel, and is scoped to validate and analyze loans across CMG Financials approximately $90 billion mortgage servicing portfolio and support more than 1,800 loan officers nationwide.
The implementation centers on FICO Score 10 T capabilities typical of Predictive Analytics, providing more granular credit scoring, risk stratification, and portfolio-level predictive modeling for underwriting and servicing validation. FICO Score is being applied to support frontline origination decisioning, credit adjudication workflows, and predictive inputs for cash flow projection, with configuration focused on precision in lending decisions and default risk assessment.
CMG integrated score delivery from Xactus and Birchwood Credit Services to ingest FICO Score outputs into existing underwriting and servicing workflows, enabling score-based validations across retail, wholesale, and correspondent origination channels. Operational coverage spans the companys nationwide footprint, with adoption directed at credit, underwriting, and loan officer decision support functions rather than a single site deployment.
Governance and rollout leverage FICOs Score Migration Resource Center guidance for transition planning and implementation best practices, with program governance led from the credit and development function. CMG and FICO cite explicit expected outcomes, including the ability to approve more borrowers and reduce delinquencies, with FICO noting potential increases in mortgage originations of up to 5 percent or reductions in default risk and losses of up to 17 percent as stated in the adoption announcement.
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Guild | Banking and Financial Services | 4400 | $1.2B | United States | FICO | FICO Score | Predictive Analytics | 2025 | n/a |
In 2025, Guild implemented FICO Score 10 T for non GSE mortgage loans in the United States. Guild implemented FICO Score within the Predictive Analytics category to support mortgage pricing, underwriting and risk management for select products. The adoption is positioned to expand access to underserved and first time homebuyers while maintaining portfolio performance.
Deployment centers on the trended data FICO Score 10 T model, instrumented as a predictive input to pricing engines and underwriting decision workflows. Configuration emphasizes score based pricing inputs, automated credit decisioning signals and risk segmentation to inform loan level pricing and eligibility rules. Implementation work focused on integrating model outputs into existing operational routines for loan origination and credit review.
Operational scope is United States non GSE mortgage products and channels, with rollout targeted to select mortgage products rather than an enterprise wide switchover. Governance changes include updating credit policy thresholds and decisioning rules to consume trended data signals, and aligning underwriting governance to the new predictive outputs. The stated objectives are to improve pricing accuracy, strengthen underwriting and risk management, and broaden access to underserved and first time homebuyers.
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Movement Mortgage | Banking and Financial Services | 4000 | $1.2B | United States | FICO | FICO Score | Predictive Analytics | 2023 | n/a |
In 2023 Movement Mortgage adopted FICO Score 10 T as its FICO Score deployment to analyze non-conforming mortgage loans, placing the initiative squarely in the Predictive Analytics category and within the mortgage and finance process area in the United States. The engagement was announced as an early adopter implementation intended to provide more predictive credit scoring for non-conforming origination flows.
The implementation centered on the FICO Score credit scoring model and associated predictive capabilities, including enhanced delinquency prediction and risk segmentation for non-conforming loan populations. Configuration activities likely included scorecard provisioning for underwriting decision workflows, calibration for mortgage-specific attributes, and model validation and governance artifacts consistent with predictive analytics practice.
Operational scope covered mortgage origination, underwriting, and risk management teams with explicit use cases for investor transparency and approval rate expansion. Governance changes emphasized model governance and decisioning rules to align score outputs with underwriting thresholds, and the adoption was reported as intended to expand approval rates and improve delinquency prediction versus older score versions.
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Banking and Financial Services | 550 | $75M | United States | FICO | FICO Score | Predictive Analytics | 2016 | n/a |
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Buyer Intent: Companies Evaluating FICO Score
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