AML, KYC & Financial Crime
V

Veriff

Veriff verifies identities for banks, fintechs, lenders, trading platforms and crypto businesses by reading government documents across more than 12,500 types and 230 countries, matching faces, checking liveness and analyzing over a thousand signals per session including device and network behavior. It runs an automated decision engine with optional review by human specialists, publishes its own accuracy and first attempt success figures, and names customers including Monzo, Bolt, Deel, Blockchain, Webull, Starship and Trustpilot. Its self serve plans are priced per verification with monthly minimums, and enterprise pricing is volume based.

Veriff holds ISO/IEC 27001:2022, ISO/IEC 27017 and 27018, a SOC 2 Type II attestation and Cyber Essentials, its products are certified under the UK Digital Identity and Attributes Trust Framework, and it runs a trust center. In February 2026 it acquired Vespia, a fellow Estonian company founded in 2021 by Julia Ront and Anton Vedesin, whose team joined Veriff and whose technology is being integrated into the Veriff platform rather than kept as a separate brand, adding business verification: commercial register data from more than 300 jurisdictions, shareholder and beneficial ownership resolution, continuous monitoring of ownership changes, and screening of every entity in a structure against politically exposed person, sanctions and adverse media lists, with commercial availability planned from mid 2026.

Last VerifiedOctober 2, 2026
Compare Veriff with other vendors
Founded
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Headquarters
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Website
www.veriff.com
Categories
aml-kyc-financial-crime, fraud-and-transaction-risk
Assessment

Capability Axes

Capability grades

15 of 15 axes rated · 11 graded A or B

AI Capability
AI Centrality
AA on AI CentralityThe artificial intelligence is the product. Remove the models and there is nothing left to sell.
Vendor Published

More than a thousand signals per session across document authenticity, facial matching and liveness feed a verdict in around six seconds. Without the models, a capture form and database lookups are all that remain.

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

Automated AI decisions come back on the Essential plan, Plus and Premium add review by human specialists, and Enterprise offers configurable flows. No threshold says which sessions reach a specialist, and no reconsideration route is described for a genuine user who fails.

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

Accuracy near 99.6 percent is a falsifiable figure a buyer can test against its own funnel, and customers get insight into how the decision engine reaches a verdict. Methodology behind the accuracy figure, independent validation and drift monitoring are all unpublished.

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

Monzo, Bolt and Webull are among named customers, but none is tied to a figure, and the BB Finance case study describes stronger fraud protection without one.

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

End user data is used to develop and improve the service, including machine learning, under legitimate interest or contract, with an individual right to object. Cross session intelligence matches signals across encounters, and no published boundary keeps one customer's users out of models serving others.

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 April 16, 2026 privacy notice covers verified end users with Veriff as processor, transfers under standard contractual clauses and rights including a request for human intervention in an automated decision. Retention is only as long as necessary under the customer agreement, with extended retention sold as a paid add on.

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

ISO/IEC 27001:2022, 27017 and 27018, a SOC 2 Type II attestation and Cyber Essentials are named on the May 2026 security page, with AES 256 encryption at rest and a trust center. Report access in the trust center is not stated, and no accredited presentation attack detection result is named.

Regulatory Status and Licensure
AA on Regulatory Status and LicensureThe regulatory position is stated and a formal admission process stands behind it: a register entry, an eCBSV enrollment, a payment network partner admission, or presence inside SAR or CTR filing paths.
Vendor Published

Its identity verification products are certified under the UK Digital Identity and Attributes Trust Framework, a government scheme with a public register. Membership of a global card network's vetted fintech program adds a second admission, though neither covers the AI models themselves.

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

If 95 percent of genuine users pass on a first attempt, the remaining 5 percent across 12,500 document formats is unlikely to be spread evenly by skin tone, age or capture conditions. A March 31, 2022 blog post describes an in house face model, session quality review and a specimen database, but no breakdown by population or independent demographic evaluation is 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 genuine user who fails is not told which signal produced the rejection, and no accuracy guarantee or remediation term is published. Published accuracy figures give a buyer something to measure against, but nothing published stands behind them in contract.

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

Proprietary, integrated technology is claimed, with device and network analytics as first party signal sources and a public subprocessor list linked from the privacy notice. Model providers, database verification sources and watchlist suppliers go unidentified in the material.

Core Systems and Integration Depth
BB on Core Systems and Integration DepthNamed systems or a documented public API, with the depth or the production evidence left open.
Vendor Published

Delivery runs through an API and SDKs with public developer documentation and a hosted verification page, and a card network partner program puts it in front of issuers. Decisioning and case management platforms are not named as integration partners.

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

Daily encrypted backups run on Amazon Web Services with 90 day default retention, but no hosting region, residency option or tenancy model is published. Identity documents and biometrics move internationally, which makes where sessions are processed a material question.

Commercial
Commercial Transparency
AA on Commercial TransparencyPublished per unit rates a buyer can price against before any conversation.
Vendor Published

Essential costs 80 cents per verification with a $49 monthly minimum, Plus $1.39 and Premium $1.89, with screening at 64 cents per session and a 15 day free trial. Enterprise pricing above 5,000 verifications a month is quoted.

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, fintech and lending, along with trading and crypto, each get their own regulatory framing and material, across more than 230 countries in 48 languages and dialects. Business verification arrives through the Vespia integration.

Tracked Since Listing

Product updates

Material product, regulatory, evidence and commercial changes at Veriff, 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 13, 2026Product / capability

Veriff published Presence Verification, which uses a passive selfie video and device signals from its native SDKs to confirm a real, live, single person is completing the session, without asking for an identity document. A higher tier, Presence Verification with Coercion Detection, also analyzes session audio and video for signs that a third party is guiding the user.

Bears on: AI CentralitySource
Our read on this update →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.

Alternatives to Veriff

Vendors in the same categories as Veriff 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.

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Quantifind runs risk screening and investigations for financial crime through its Graphyte platform, resolving entities and scoring risk from billions of external sources covering sanctions…

Incode Technologies is a San Francisco identity verification and biometric authentication company selling to banks, credit unions, neobanks, fintechs, telecoms, marketplaces and government…

Owlin screens and monitors the companies a financial institution does business with, meaning merchants, vendors, counterparties and portfolio companies, for external risk surfacing in news…

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.

Entry Price Pricing Basis Data Protection Terms Implementation Source
80 cents per verification (Essential), with a $49 monthly minimum.
Self serve plans priced per verification with monthly minimums. Essential is 80 cents per verification with a $49 minimum and automated AI decisions; Plus is $1.39 with a $99 minimum and adds review by human specialists, video recording and risk insights; Premium is $1.89 with a $209 minimum and adds custom branding, session deletion by API and analytics. Add ons are priced per session: politically exposed person and sanctions screening 64 cents, extended retention 30 cents, ongoing monitoring 9 cents and additional data fields 30 cents. Enterprise pricing for more than 5,000 verifications a month is volume based and quoted. Not tiered on the pricing page. Extended data retention is sold as a per session add on. No setup or implementation fee is published. A 15 day free trial of up to 50 sessions is offered on each self serve plan, and resubmission attempts are not charged separately. Vendor Published

Plans and unit prices taken from the vendor's own pricing page as of 2 October 2026. Prices are in dollars as published.

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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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