AML, KYC & Financial Crime
M

Middesk

Middesk is a business identity platform that verifies companies rather than people and takes that verification through to a decision. It draws on primary government sources first, with direct connections to the Internal Revenue Service and all fifty Secretary of State offices, then layers alternative sources and network signals across more than 400 data providers, covering business verification, taxpayer identification matching, beneficial ownership, sanctions screening and ongoing monitoring.

Middesk Agents pull data, cross reference sources and document findings for customer identification, due diligence, enhanced due diligence and merchant risk, while machine learning models detect risk patterns and ownership networks for fraud prevention. Further products supply entity data for underwriting and file state and federal registrations on a client's behalf. Institutions set rules for straight through approval and send the remainder to human review.

Middesk names customers including Rho, Toast, Mercury, Brex, Ramp, Plaid and Rippling, states that it verifies 7 million businesses a year, and has an announced integration with Backbase's engagement banking platform. Coverage is built on United States sources.

Last VerifiedOctober 2, 2026
Compare Middesk with other vendors
Founded
—
Headquarters
San Francisco, United States
Website
www.middesk.com
Categories
aml-kyc-financial-crime, credit-decisioning
Assessment

Capability Axes

Capability grades

15 of 15 axes rated · 9 graded A or B

AI Capability
AI Centrality
BB on AI CentralityThe models are the engine of a core capability, layered on a product that would still function without them as a rules or workflow system.
Vendor Published

Registry connections and a deterministic verification interface were the original business, and they would still run without models. Models carry the newer step from data to a resolved decision: agents investigate customer identification, due diligence and merchant risk, and detection models find risk patterns and ownership networks.

Autonomy and Oversight Model
AA on Autonomy and Oversight ModelWhat the system runs alone, what constrains it, and how a person checks it are all published: modes, thresholds, sampling or audit controls, and the route a case takes to human review.
Vendor Published

Three tiers are published: clear cut decisions run instantly on configurable thresholds, agents reason through cases needing judgment, and edge cases go to the institution's team with the data, the agent's reasoning and a recommended action. The banking page applies the same split, approving low risk applications automatically and routing complex ones to review with context assembled.

Model Risk Management and Transparency
BB on Model Risk Management and TransparencyReal transparency mechanisms are published, such as per alert explainability, confidence scoring or split testing, without the validation package or supervisory mapping behind them.
Vendor Published

Every outcome carries a timestamp, attribution to the supporting source and an explainable result, so a reviewer can reconstruct why a business was approved or flagged. False positive and false negative rates for shell and synthetic detection, and any validation method, are unpublished.

Operational and Outcome Evidence
AA on Operational and Outcome EvidenceNamed customers with hard performance figures and enough method to test them.
Vendor Published

Rho grew from 300 to 400 applications a month to more than 2,000, with a 43 percent gain in address validation accuracy and a fivefold rise in onboarding capacity, though no period or measurement method is given. Toast, Mercury and Brex appear among other named customers, alongside a claim of 7 million businesses verified each year.

AI Safety and Data Stewardship
CC on AI Safety and Data StewardshipGeneral assurances that do not answer the question this axis asks, which is whether one customer’s data trains models serving its competitors. Unbounded cross client learning stated with no boundary grades here too.
Vendor Published

Network signals layered in where primary sources fall short suggest learning across the customer base, useful against coordinated fraud rings and the reason their boundary matters. What a signal is built from, whether contribution is a condition of use and whether one lender's applications inform a competitor's decisions are not stated.

Regulatory and Compliance
GLBA and Data Privacy Posture
BB on GLBA and Data Privacy PostureA substantive privacy document that reaches the product itself, short of the subprocessor list or the full data handling detail.
Vendor Published

The privacy policy of November 2, 2025 reaches the service: Middesk Inc. acts as controller for verification and registered agent work and lists what it collects, Social Security and employer identification numbers among it. For a sole proprietor the business record and the person are one record, yet recipients are listed only by type and retention has no fixed period.

Security Certifications and Trust Center
BB on Security Certifications and Trust CenterA recognized certification named in the vendor’s own material without the artifact, or with a scope or renewal question the buyer has to raise.
Vendor Published

SOC 2 Type II compliance against the security, availability and confidentiality criteria is claimed on the security page and homepage. Neither a report request route nor a trust portal or penetration testing statement is published, though the firm holds beneficial ownership records for banks.

Regulatory Status and Licensure
BB on Regulatory Status and LicensureThe regulatory position is clearly stated and appropriate to the product, with part of the verification left to the buyer.
Vendor Published

Customer identification, due diligence and enhanced due diligence run as distinct workflows, with Office of Foreign Assets Control screening, taxpayer identification matching and uniform commercial code filings built in. No license is needed for verification, while the registration product files with state and federal agencies and acts as registered agent.

AI Governance and Bias Disclosure
CC on AI Governance and Bias DisclosureResponsible artificial intelligence committed to in policy language with no evaluation behind it, on a product whose bias surface is modest.
Vendor Published

Shell company and ownership network models that catch coordinated rings will also catch legitimate clusters, such as family businesses at one address or firms sharing a registered agent, and a false flag costs a real business an account or a loan. Verifying sole proprietors and new formations where legacy tools return nothing is product design, with no error rate by business type, size or ownership structure published.

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

A business that fails verification can lose an account or a loan, and the decision record lets an institution contest the outcome. Service levels, warranties and a correction obligation are unpublished, and the firm describes no route for a wrongly flagged business to reach it.

Integration and Deployment
Model Supply Chain Disclosure
CC on Model Supply Chain DisclosureThe architecture is described and no provider is named.
Vendor Published

An orchestration layer, task specific sub agents and purpose built detection models describe the arrangement, but whose models do the work is never said. Built in house and called externally are not separated, and no subprocessor is named.

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

Inbound, direct connections reach the Internal Revenue Service and all fifty Secretary of State offices, alongside more than 400 data providers. Outbound, the interface has public developer documentation, an announced Backbase integration for banks and credit unions and a Docusign App Center listing.

Deployment Model and Data Residency
CC on Deployment Model and Data ResidencyCloud only with nothing stated, which is the category norm.
Vendor Published

Hosting is described only as a cloud interface and web application, with no provider, region or single tenant option named. With United States sourced data the residency pressure is modest for now.

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

Sales holds the pricing: the homepage links to no rate card, tier or unit of charge. Verification calls, agent investigations and registration filings would naturally price on different units, which leaves the annual cost hard to estimate.

Institution and Segment Coverage
BB on Institution and Segment CoverageNamed segments with dedicated material behind part of the coverage.
Vendor Published

Financial technology, banking and lending lead the named buyer segments, with separate material for verification, fraud prevention and registration. Coverage is United States only, with international described as forthcoming, so a lender onboarding businesses abroad needs a second vendor today.

Tracked Since Listing

Product updates

Material product, regulatory, evidence and commercial changes at Middesk, 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 12, 2026Product / capability

Middesk removed the identifier_assessments array from Business Risk assessment responses. An assessment now carries only the overall verdict, score, level and business level risk dimensions, and email risk becomes its own email_risk order. Integrations that read the per identifier scores need to drop that dependency.

Bears on: Model Risk Management and TransparencySource
Oct 9, 2026Product / capability

Middesk updated its verification agents: the Address Verification and Address Type Risk agents now pull Google Street View imagery from several angles, read exterior signage against the applicant's business name and classify the property as a storefront, office, industrial site, residence, mail drop or vacant land, with the images and assessment embedded in the review panel and audit PDFs. A new Document Verification agent, in early access for select customers, screens uploads such as IRS letters, formation filings, leases and bank statements for tampering and reconciles them against verified records. Teams can now set which agents run automatically and the confidence thresholds that force human review, P95 turnaround fell from about two minutes to one, and a unified audit trail links each finding, decision and action.

Bears on: Autonomy and Oversight ModelSource
Our read on these updates →Tracked since Oct 2026

Alternatives to Middesk

Vendors in the same categories as Middesk whose profiles look most alike, each with a line on what the product does. Similar is not the same: check that each one does the job you need. No vendor pays for placement.

Elliptic provides blockchain analytics and crypto financial crime compliance to banks, crypto businesses, payment firms, regulators and law enforcement, scoring wallets and transactions in…

Trulioo verifies both people and businesses through one platform, reaching 195 countries by orchestrating more than 450 global and local data sources behind a single integration, and…

Duna is a business identity platform for regulated companies, automating know your business, know your customer, customer due diligence and anti money laundering checks during onboarding.

Flagright sells a financial crime compliance platform to payment processors, digital banks, banks, credit unions, brokerages, crypto and remittance firms, covering real time transaction…

GBG is a London listed identity verification, location intelligence and fraud prevention group headquartered in Chester and founded in 1989, with subsidiaries including Acuant, IDology and Loqate.

Jumio sells identity verification, biometric authentication, risk signals and AML screening to banks, fintechs, lenders, payment companies and other regulated businesses.

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.

Contact us

Found a vendor we missed? Have feedback on the index? We’d love to hear from you.

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.
© 2026 AI FinTech Index
3801 N Capital of Texas Hwy, Ste E240 · Austin, TX 78746