Sumsub vs Veriff (2026)
Both verify identities at global scale, and what each publishes sets them apart. Sumsub publishes a price, from around $1 per verification with a stated monthly minimum, and pairs it with iBeta presentation attack certification, an accredited laboratory test of exactly the liveness capability both companies sell. It is also the broader platform, extending past verification into screening, transaction monitoring and Travel Rule support, with bring your own contract connections to established screening providers. Veriff is the purer engine: an AI native stack analyzing over a thousand signals per session across more than 12,500 document types, and it shares performance figures few verification vendors publish, accuracy near 99.6 percent and 95 percent first attempt success. Its gap is assurance. Security compliance is asserted without naming a certification, and no accredited liveness testing is published, while Veriff's own fraud research names injection attacks as the fastest growing threat.
- You want the commercial shape legible before a sales call. Sumsub publishes per verification rates and a monthly minimum, which lets a compliance team size the deal and defend the budget internally.
- Liveness assurance must be independently tested. Sumsub displays iBeta presentation attack certification from an accredited laboratory, a standardized test of whether printed photos or injected video defeat the check, where its rival publishes no equivalent.
- You need more than verification. Sumsub carries screening, ongoing monitoring, Travel Rule support and case management in one console, and lets you bring existing screening contracts with providers such as ComplyAdvantage rather than forcing bundled data.
- Measured verification performance is the deciding criterion. Veriff publishes accuracy near 99.6 percent, 95 percent of genuine users passing on the first attempt and six second decisions, figures you can test against your own funnel during a pilot.
- Document and language reach matters most. Veriff reads more than 12,500 document types across 230 countries in 48 languages, with a decision engine weighing over a thousand signals per session including device and network behavior.
- You want stated visibility into the engine. Veriff commits to giving customers full insight into how a verdict was reached, which turns a disputed rejection into something a fraud team can examine rather than argue about.
This comparison is published by AI FinTech Index, an independent research platform that publishes independent ratings of AI vendors for financial services. Sumsub and Veriff are each graded against the same capability taxonomy, from each vendor's own public materials and the regulatory record, under the AI FinTech Index verification standard. No vendor pays for placement, and no vendor has reviewed this page. How this evidence is graded
Plain facts
| Sumsub | Veriff | |
|---|---|---|
| Primary category | AML, KYC & Financial Crime | AML, KYC & Financial Crime |
| Founded | 2015 | Not published |
| Headquarters | London, England, United Kingdom | Not published |
| Website | sumsub.com | www.veriff.com |
Side by Side
Select any grade to read the note behind it.
| Axis | S Sumsub |
V Veriff |
|---|---|---|
| AI Centrality | ||
| Autonomy and Oversight Model | ||
| Model Risk Management and Transparency | ||
| Operational and Outcome Evidence | ||
| AI Safety and Data Stewardship | ||
| GLBA and Data Privacy Posture | ||
| Security Certifications and Trust Center | ||
| Regulatory Status and Licensure | ||
| AI Governance and Bias Disclosure | ||
| AI Liability and Recourse | ||
| Model Supply Chain Disclosure | ||
| Core Systems and Integration Depth | ||
| Deployment Model and Data Residency | ||
| Commercial Transparency | ||
| Institution and Segment Coverage |
Product updates
The latest logged changes from each vendor, newest first, each linked to its source.
Sumsub
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Product / capability
Sumsub launched a KYA Module for MCP, a filtering layer between a business's AI agents and the data sources they connect to.
Source -
Product / capability
Sumsub launched Workforce Verification, which brings document checks, biometric liveness and background screening into enterprise identity and HR platforms.
Source -
Product / capability
Sumsub released a Brazil-localized onboarding solution for betting platforms that retrieves identity data and a document image from local databases through local partnerships, so a player supplies a CPF number and a selfie liveness check rather than photographing a document.
Source
Veriff
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Product / 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.
Source
The short version of each
Sumsub
Sumsub is a London based identity verification and financial crime compliance platform founded in 2015, covering consumer and business onboarding, sanctions and politically exposed person screening, transaction monitoring, Travel Rule support and fraud prevention in one console. According to the AI FinTech Index, it documents in detail what its system decides on its own and who checks it, the models and providers it is built on and its integrations, and it publishes a per verification price before a sales call. It says little about bias and fairness, on a product that decides account access partly through biometric face matching.
Source: AI FinTech Index, 2026
Veriff
Veriff is an identity verification vendor that reads government documents across more than 12,500 types and 230 countries, matching faces, checking liveness and weighing over a thousand signals per session including device and network behavior. According to the AI FinTech Index, AI is central to the product and its customer results are documented in detail, with measured performance figures that most of this market does not publish. Its accuracy testing, data handling and the models it is built on are documented in part. Its gap is assurance rather than capability: security compliance is asserted without a named certification, no accredited liveness testing is published, and it says little about bias and fairness.
Source: AI FinTech Index, 2026
Common questions
Is Sumsub better than Veriff for identity verification?
Neither is better across the board, and what each publishes is distinct enough to choose on evidence. Sumsub is the broader platform and the more legible commercial: it extends past verification into screening, transaction monitoring and Travel Rule, publishes per verification pricing, and displays accredited presentation attack testing of the liveness capability both companies sell. Veriff is the purer verification engine and publishes the performance numbers, including accuracy near 99.6 percent and 95 percent first attempt success. If the deciding criterion is measured verification performance and document reach, Veriff has the stronger published case. If it is independently tested liveness assurance, commercial predictability, or needing screening and monitoring in one console, Sumsub does. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified August 18, 2026. No vendor pays for placement.
How much do Sumsub and Veriff cost per verification?
Sumsub publishes per verification rates from around one dollar with a stated monthly minimum. Veriff does not publish pricing, so its cost comes from a sales conversation. Rates in this market vary by document type, geography, whether a liveness check runs and whether failed verifications are billed, so any published figure is a starting point rather than an invoice. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified August 18, 2026. No vendor pays for placement.
Do Sumsub and Veriff publish accuracy across demographic groups?
Neither does. This is the known failure surface of biometric verification, and both say little about bias and fairness, a gap most consumer identity verification vendors share. Neither publishes a demographic evaluation, the population it was run on or the false rejection rate by group. That matters because a false rejection is an applicant who cannot open an account, usually with no explanation and no appeal. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified August 18, 2026. No vendor pays for placement.
Which one has better liveness and deepfake protection?
Both sell liveness detection and both name injection attacks as a growing threat, but only one publishes an independent test of it. Sumsub displays iBeta presentation attack certification from an accredited laboratory, a standardized test of whether printed photographs or injected video defeat the check. Veriff publishes no equivalent accredited testing, which is a disclosure gap rather than a demonstrated weakness. Where deepfake and injection defense is central to the risk case, the method behind any testing matters more than the claim. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified August 18, 2026. No vendor pays for placement.
Does either vendor satisfy our KYC obligation on its own?
No. The obligation stays with the institution. Both vendors supply evidence and a decision recommendation, and the institution owns its customer identification program, the risk based policy behind it, and the answer it gives an examiner about why a given applicant was accepted or refused. That is why each vendor's model risk documentation, where it runs and where data sits, what happens when it is wrong, and what it is permitted to decide without a person all matter to the institution. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified August 18, 2026. No vendor pays for placement.
Where does each publish the most, and the least?
Sumsub publishes most on what its system decides on its own and who checks it, the models beneath it, pricing and integrations, and says little about bias and fairness. AI is central to Veriff, which publishes most on its measured results and says little about bias and fairness, with security compliance asserted rather than certified by name and no accredited liveness testing published. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified August 18, 2026. No vendor pays for placement.
Related comparisons
Other published head to head assessments involving these vendors or their closest peers. The full set for this category is on the Fraud Detection & Transaction Risk page.
Neither vendor publishes demographic performance breakdowns for face matching or liveness, which is the known failure surface of this category. Compiled from vendor published material and independent analyst evaluations; neither company sponsored or reviewed this comparison.