What is Sumsub?

Sumsub is a fintech compliance platform that helps companies automate identity verification and regulatory checks. Through APIs and SDKs, financial platforms can verify user identities, perform KYC and KYB checks, screen customers against sanctions lists, and monitor activity for suspicious behavior.

Instead of building compliance infrastructure internally, companies integrate Sumsub to handle document verification, biometric checks, and AML screening during onboarding and throughout the customer lifecycle.

The Hidden Infrastructure Behind Fintech Compliance

At first glance, onboarding a user to a financial platform seems straightforward. A customer signs up, uploads an ID document, and the account is activated. Behind the scenes, the process is far more layered.

Financial institutions must confirm that the identity document is genuine, verify that the person submitting it matches the document photo, and check whether that individual appears on sanctions or politically exposed person lists. In many jurisdictions, companies must also monitor customers after onboarding to ensure they remain compliant.

These checks are required by regulations such as anti-money laundering rules and counter terrorism financing frameworks. Failing to perform them properly can expose financial platforms to significant legal and financial risk. That is where verification platforms like Sumsub enter the picture.

Why KYC Verification Matters

KYC, or Know Your Customer, is the process used by financial institutions to confirm the identity of their customers before providing services. It typically includes document verification, biometric checks, and screening against sanctions databases.

The goal is not simply to confirm a person’s identity. KYC processes help institutions detect fraud, prevent money laundering, and comply with regulatory obligations.

In most fintech platforms, KYC verification occurs during the onboarding process. Users are asked to upload an identity document and complete a short biometric check, such as a selfie or video verification.

Once that information is submitted, the verification provider analyzes the data and returns a result that determines whether the account can proceed.

Document Verification Is Harder Than It Looks

Supporting identity verification across multiple countries introduces an additional layer of complexity.

Different jurisdictions issue different types of documents. Passports, national identity cards, and driver’s licenses all have distinct formats, security features, and data layouts. Even within the same country, document formats may change over time. This is where many identity verification systems encounter difficulties.

Platforms like Sumsub must be able to process thousands of document variations. When a user uploads a passport or ID card, the system performs several checks at once. Optical character recognition extracts the data from the document, security features are analyzed, and the document image is compared with known templates.

At the same time, biometric verification compares the user’s selfie with the photograph on the document. The system must also confirm that the selfie represents a live person rather than a static image or manipulated recording.

These steps happen quickly from the user’s perspective, but they involve several layers of automated analysis behind the scenes.

Why KYB and UBO Verification Matter

Identity verification does not stop with individuals. Many financial services also onboard companies. This is where KYB, or Know Your Business, becomes relevant.

KYB verification confirms that a company exists, verifies its registration information, and identifies the individuals who ultimately control it. These individuals are known as Ultimate Beneficial Owners.

The challenge here is that company ownership structures can be complex. A single company may be owned by multiple entities, each registered in different jurisdictions.

Verification platforms must therefore collect company registry information, identify directors and shareholders, and verify the identities of beneficial owners. Without these checks, shell companies or sanctioned entities could gain access to financial services.

Sumsub combines both KYC and KYB capabilities within the same platform. For fintech companies that onboard both individuals and businesses, this integration simplifies the compliance architecture significantly.

Automation Is Only Part of the Compliance Workflow

Automation has improved the speed of identity verification considerably. However, compliance workflows rarely rely on automation alone.

In practice, many platforms implement layered approval systems. Automated verification handles the majority of onboarding requests, but certain cases are flagged for manual review.

This can happen when documents are difficult to read, when biometric results are inconclusive, or when sanctions screening produces a potential match. Compliance officers then review the case and make the final decision.

This hybrid approach allows fintech companies to scale onboarding processes without removing human oversight entirely. Automation handles the bulk of routine checks, while compliance teams focus on higher-risk cases.

How Sumsub Fits Into Fintech Architecture

From a technical perspective, Sumsub typically operates as a verification layer within a larger fintech platform.

The platform backend initiates a verification session whenever a new user begins onboarding. Through an API request, the system creates an applicant profile and defines the documents that must be submitted.

Once the session begins, the user uploads identity documents and completes biometric verification through a web or mobile interface.

The verification provider processes these inputs and returns a status indicating whether the identity has been approved, rejected, or requires additional review.

Initiating Identity Verification Through an API

In many fintech platforms, the onboarding flow begins with an API call that creates an applicant profile within the verification provider.

A simplified request might look like this:

POST /resources/applicants

Host: api.sumsub.com

Content-Type: application/json

{

“externalUserId”: “user_847392”,

“email”: “user@example.com”,

“requiredIdDocs”: {

"docSets": [

  {

    "idDocSetType": "IDENTITY",

    "types": ["PASSPORT", "ID_CARD"]

  }

]

}

}

Once the applicant profile exists, the platform generates a verification session that allows the user to upload documents and complete biometric checks.

After the process finishes, the platform receives a verification result. Many systems use webhook callbacks to update internal compliance workflows when verification status changes.

Compliance Does Not End After Onboarding

Verifying a customer during onboarding is only the first step. Regulated financial platforms must also monitor customers throughout their lifecycle. A user who passed sanctions screening during onboarding may later appear on a sanctions list or become a politically exposed person.

To address this, many compliance platforms provide ongoing monitoring tools that periodically rescreen users against updated databases. This process is often referred to as Know Your

Transaction or ongoing AML monitoring.

Continuous monitoring helps financial platforms detect emerging risks without requiring users to repeat the onboarding process.

Multi-Provider Verification Architectures

Some fintech platforms rely on more than one verification provider. This approach is often used to improve reliability or expand coverage across different regions. If one provider cannot verify a document type or jurisdiction, the platform can route the request to an alternative service.

These architectures are sometimes called verification orchestration systems. Instead of hardcoding a single provider, the platform manages verification logic internally and distributes checks across multiple services.

This design also allows companies to switch providers more easily if pricing, performance, or regulatory requirements change.

AI in Identity Verification

Artificial intelligence plays an important role in identity verification systems, but its function is often misunderstood.

In most cases, AI is used to automate data extraction, pattern recognition, and anomaly detection. Machine learning models help systems read document data, analyze facial images, and identify irregularities.

What AI does not typically do is replace compliance decision-making entirely.

Human oversight remains essential for complex cases, regulatory interpretation, and high-risk onboarding scenarios. Automation accelerates the workflow, but final accountability still rests with compliance teams.

Conclusion

Compliance infrastructure rarely receives the same attention as product features or user experience. Yet it is one of the most critical components of any financial platform.

Verification providers like Sumsub allow fintech companies to implement identity verification, business verification, and ongoing compliance monitoring without building these systems from scratch.

In practice, the most effective compliance architectures combine automation with human oversight. Automated checks handle the majority of verification tasks, while compliance teams focus on edge cases and regulatory interpretation.

As fintech ecosystems continue to expand across jurisdictions, this balance between automation and oversight will remain essential for maintaining both efficiency and regulatory trust.