Credit Decisioning & Underwriting
M

Moody's Analytics

Moody's Analytics is the data, research and decision solutions division of Moody's Corporation, scoped here at division level and separated from Moody's Ratings, a boundary the company itself draws on its product and trust pages. It sells to banking, buy side, insurance, corporate and public sector customers across solution lines including lending, third party risk, regulatory reporting, balance sheet management, insurance underwriting, portfolio management and model risk governance. The shipped inference line has two generations.

Research Assistant launched in December 2023 as a conversational interface built on Microsoft Azure OpenAI over the proprietary data estate, covering more than 190,000 companies. Agentic Solutions followed in late 2025 as coordinated specialized agents across five workflows: company credit assessment producing a complete credit memo, portfolio monitoring with early warning signals, sales intelligence, customer and counterparty screening covering sanctions and adverse media, and private credit risk assessment. Both run over a context layer spanning more than 600 million entities.

The Lending Suite absorbed Numerated Growth Technologies, acquired in November 2024, adding a loan origination system. Named AI partners include Anthropic, OpenAI, Microsoft, Databricks, Amazon Web Services and Salesforce. Moody's publishes AI principles overseen by an AI Governance Committee, its standard Core Terms with data processing and information security schedules, and a trust center listing ISO/IEC 27001:2022 certification and Global Privacy Recognition for Processors certification.

Last VerifiedOctober 2, 2026
Compare Moody's Analytics with other vendors
Founded
2007
Headquarters
New York, New York, United States
Website
www.moodys.com
Categories
credit-decisioning, lending-and-banking-operations, aml-kyc-financial-crime, capital-markets-ai, insurance-ai
Assessment

Capability Axes

Capability grades

15 of 15 axes rated · 9 graded A or B

AI Capability
AI Centrality
CC on AI CentralityArtificial intelligence is present but peripheral: a feature layer on a product whose value stands without it.
Vendor Published

Ratings data, research and quantitative risk models long predate the AI line, which is real and broad: Research Assistant since December 2023, five agentic workflow solutions from late 2025 and an acquired origination system. The data, analytics and workflow business would run fully without those models.

Autonomy and Oversight Model
BB on Autonomy and Oversight ModelA written commitment that the models work alongside human judgment, with real review surfaces, short of the full control structure: commonly the threshold at which the system stops or what happens after it is wrong.
Vendor Published

Customers keep decision making responsibility at all times under the AI principles, and the agents assemble a credit memo, monitoring signal or screening result for a person to act on. Core Terms also bar customers from making wholly automated decisions with the products without legal authorization.

Model Risk Management and Transparency
CC on Model Risk Management and TransparencyTransparency is claimed in general terms with no mechanism a model validator could interrogate.
Vendor Published

Outputs are called auditable, decision grade and explainable, with no accuracy rate, validation approach or drift policy published for the generative or agentic products. Such a gap stands out at a firm that sells model risk governance as a solution line.

Operational and Outcome Evidence
BB on Operational and Outcome EvidenceVendor aggregate claims with real figures, or audited scale disclosures from a publicly listed company.
Vendor Published

Credit memo preparation cut from roughly 40 hours to about two minutes, and Research Assistant users reading 60 percent more research in 30 percent less task time, are the published figures. Neither is attached to a named institution.

AI Safety and Data Stewardship
BB on AI Safety and Data StewardshipA categorical stewardship commitment is published without the retention schedule or the engineering detail behind it.
Vendor Published

De identified customer data may be kept perpetually to improve and commercialize products under the federal Core Terms, but never shared with unrelated third parties in a way that identifies the customer. That boundary still lets de identified data improve models served to other customers.

Regulatory and Compliance
GLBA and Data Privacy Posture
AA on GLBA and Data Privacy PostureThe privacy architecture is published in the specifics: data handling, retention, and a subprocessor list, which is rare in this index and valuable.
Vendor Published

Privacy practices are certified under the Global Privacy Recognition for Processors system, checkable in a public directory, with product level privacy notices and a data processing schedule in the standard contract. Customers can obtain product specific transfer impact assessments.

Security Certifications and Trust Center
AA on Security Certifications and Trust CenterCertifications named with their type and presented as retrievable artifacts, usually through a trust portal a buyer can open without asking.
Vendor Published

Anyone can view the linked ISO 27001:2022 certificate for Moody's Analytics, and customers download product SOC 2 reports from the portal. Vulnerability assessments, penetration testing and red teaming sit in the program, with a security standards schedule in the published contract.

Regulatory Status and Licensure
CC on Regulatory Status and LicensureThe regulatory position is unstated. Most vendors in this index are technology suppliers and being unlicensed is the correct posture, so this grade records silence about the posture, not a missing license.
Vendor Published

Supervision of the registered credit rating agency in the corporate parent does not attach to analytics software, and the firm draws that division line on its own pages. For the analytics division itself, no regulatory position is stated.

AI Governance and Bias Disclosure
DD on AI Governance and Bias DisclosureNothing published on a product where the bias risk is concrete, such as credit decisioning or underwriting with no fair lending, disparate impact or adverse action disclosure.
Vendor Published

An AI Governance Committee under the Enterprise Risk Committee oversees the AI principles, which name bias as a risk to mitigate. Fairness testing, disparate impact analysis and adverse action guidance are unpublished for a credit assessment agent whose memo shapes lending and for the origination system.

AI Liability and Recourse
CC on AI Liability and RecourseMechanisms that enable challenge, such as audit trails and source traceability, with nothing standing behind the output and no route for the person affected.
Vendor Published

Outcomes fall to the customer under the February 2026 federal Core Terms: accuracy warranties are disclaimed, liability is capped at twelve months of fees, and the customer indemnifies the firm for decisions based on output. GRID risk summaries come with an instruction to verify them independently.

Integration and Deployment
Model Supply Chain Disclosure
BB on Model Supply Chain DisclosureSubstantial partial disclosure, or a chain that is structurally short: an explicit in house build, on premise deployment, per customer instances, or zero retention at the model layer.
Vendor Published

Anthropic, OpenAI and Microsoft are among six AI partners named on the AI product page, and Research Assistant is built on Microsoft Azure OpenAI. Which model answers in each agent workflow is not mapped.

Core Systems and Integration Depth
AA on Core Systems and Integration DepthNamed integrations with the systems of record, core banking, policy administration, custodial or contact center platforms, verifiable in marketplace listings or public API documentation.
Vendor Published

The November 2024 Numerated acquisition made the lending workflow a system of record at banking customers, not a feed into someone else's. Entity reference and screening content also sits inside customer onboarding and regulatory reporting systems.

Deployment Model and Data Residency
BB on Deployment Model and Data ResidencyStated residency commitments or regional hosting options.
Vendor Published

A trust center page on hosting locations and approved subprocessors links a descriptions of processing data document with the regions by product. On premises and private deployment are not stated for the agentic products.

Commercial
Commercial Transparency
CC on Commercial TransparencyNo price is published and engagement runs through a demo form, which is the norm in this index.
Vendor Published

Standard Core Terms, rated by TermScout, are public with their data processing and security schedules, but no price, unit of charge or tier is published for any product. Fees are set per order, so the terms can be read in advance while the cost cannot.

Institution and Segment Coverage
AA on Institution and Segment CoverageThe financial segments served are named and each carries its own maintained material, whether the coverage is broad or deliberately narrow.
Vendor Published

Banking, insurance and the public sector are among separate segments with their own material, over a knowledge base of more than 600 million entities. Solution lines run from lending and investment research to regulatory reporting and balance sheet management.

Tracked Since Listing

What Changed

Material product, regulatory, evidence and commercial changes at Moody's Analytics, each verified against a live source and tagged to the capability axis it bears on. Funding rounds and awards are not product changes and are not logged.

Oct 1, 2026Model / architecture

Moody's Analytics and Allvue launched the EDF-X Private Credit Model, which Moody's describes as its first model calibrated directly on observed private credit performance, using anonymized borrower data contributed by Allvue under contract so no individual firm can be identified. The model separately estimates the likelihood of hard credit events such as missed payments and of the soft events that often come first, such as covenant waivers and payment in kind arrangements. It is available now to customers of both firms through the Moody's Analytics EDF-X API.

Bears on: Institution and Segment CoverageSource
Our read on this change →Tracked since Oct 2026
Head to Head

Compared With

Most editorial comparisons pair two vendors the index assesses as direct competitors for the same buyer. Some pair vendors that are adjacent rather than rival, where the useful question is where one ends and the other begins. Each carries a verdict, the buyer conditions that favor each vendor, and a graded side by side.

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The index publishes no overall score or ranking. See what we assess and the methodology.

Commercial

Pricing

Vendor-published figures are labeled as such. Figures labeled “Estimated” are derived from third-party sources and have not been confirmed by the vendor.

No pricing data has been verified for this vendor. Pricing information will be published here once confirmed through vendor disclosure or third-party estimation.

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AI FinTech Index

The AI FinTech Index is an independent index that tracks changes to AI vendors in financial services. It holds 610 vendors across banking, lending, insurance, wealth, capital markets and financial crime compliance, each graded on the same 15 capability axes from public sources. No vendor pays for inclusion, placement, or rating.

Index Status
Last index update
October 20, 2026
The AI FinTech Index is an editorial reference, not a regulatory body. Vendor data is verified against published sources and public regulatory filings. Figures labeled “Estimated” have not been confirmed by the vendor. See the Methodology page for evaluation standards and limitations.
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