Customer Stories / Internet & Software / Estonia


Veriff Makes Identity Verification Simple Using Amazon SageMaker and Amazon Rekognition

Learn how identity verification provider Veriff optimized cost and performance using Amazon SageMaker and Amazon Rekognition.

2 days versus 2 weeks

for model deployment

27% saved

on ML model training costs

Achieves near-real-time latency

for facial recognition workflows

Facilitates rapid, accurate

identity verification

Less than 1 second

to verify user faces

In today’s connected world, knowing who’s on the other side of a screen isn’t a luxury—it’s a requirement. Every online transaction, every new account sign-up, and every access request hinges on making sure that people are who they say they are. That’s where Veriff comes in.

Veriff’s mission is simple: to make the internet a safer place. As fraudulent activity grows in frequency and sophistication, the company needs to stay one step ahead by optimizing the cost and performance of its identity verification solution.

Founded and headquartered in Tallinn, Estonia, Veriff offers an artificial intelligence (AI) identity verification solution built partially on Amazon Web Services (AWS). The company confirms a user’s identity automatically, relying on AI that analyzes a multitude of technological and behavioral indicators. Veriff is trusted by customers around the world to mitigate fraud attempts and comply with regulatory requirements for age verification, driver validation, new account onboarding, KYC compliance, and much more.

“Veriff is the preferred identity provider for many digital companies, mostly in fintech, crypto, gaming, and mobility,” says Henri Rästas, head of data science at Veriff. “We help our customers verify that their users are who they say they are so that they can get access to the services that they want to use.”

Opportunity | Using Amazon SageMaker and Amazon Rekognition to Optimize Identity Verification for Veriff

Without a high-performing identity verification solution, businesses can face revenue loss, reputational damage, and noncompliance penalties. Veriff understands this importance and continually takes steps to improve its identity verification solution. As the company scaled its operations, it incorporated fully managed AI services from AWS to optimize the solution and improve the customer experience. This change improved efficiency, scalability, and innovation, helping Veriff foster trust in every online interaction.

“Up until recently, we used foundational AWS to power the infrastructure while running AI services internally,” says Rästas. “Now, we’re migrating to specific tools so that we can fully take advantage of what AWS has to offer.”

Veriff is using Amazon Rekognition to extract information and insights from images and videos, to complement its in-house facial recognition capabilities with high accuracy, subsecond latency, and global availability. To run deep learning models for document identity verification and authentication, the company adopted Amazon SageMaker, which enhances Veriff’s in-house technology to build, train, and deploy machine learning (ML) models for any use case.


With AWS, we can scale our identity solution globally, minimizing bias and creating a seamless verification process for all users.”

Geo Jolly
Senior Product Manager of AI, Veriff

Solution | Training ML Models 27% More Cost Effectively and Verifying User Faces Faster on AWS

One of Veriff’s most foundational ML models is responsible for detecting document specimens quickly and accurately. Before deploying this model, the process could take up to 2 weeks. Veriff reduced this time to less than a day by adopting multimodel endpoints for Amazon SageMaker, which provide a scalable and cost-effective solution for deploying large numbers of ML models.

Amazon SageMaker has become a key tool for cost-effective model training, and engineers can deploy multiple ML models on AWS, facilitating rapid experimentation. Using Amazon SageMaker for model training has reduced the cost by 27 percent compared with Veriff’s previous training environment.

“We have hundreds of different ML models that we simultaneously maintain and develop,” says Rästas. “Our team doesn’t need to worry about how many images or sessions go through the stack—with Amazon SageMaker, we can meet this scale quickly and cost effectively.”

Veriff is using Amazon Rekognition to compare faces from identity documents with selfies taken by the user to confirm that the individual matches the provided documentation. To bolster this process, the company has integrated various Face APIs from AWS.

Veriff can verify user faces within 1 second, exceeding its latency targets. The company’s customers and their users enjoy rapid and accurate identity verification. “Now we can scale our identity solution globally, minimizing bias and creating a seamless verification process for all,” says Geo Jolly, senior product manager of AI at Veriff.

Outcome | Providing Accurate Identity Verification Services While Preparing for the Future

On AWS, Veriff has achieved further enhancements in its identity verification workflows, resulting in heightened efficiency and performance. With cost-effective ML and AI services, it has saved resources that it can invest in new projects, accelerating its speed of innovation. Thanks to this evolution, users benefit from a more seamless and reliable verification process, an advantage that will continue to improve.

As Veriff looks to the future, it will refine its service to provide data scientists with richer data and facilitate the development of advanced solutions. Additionally, it is investigating the use of AWS services to identify and combat the increasing threat of deep-fake fraud, a technique that uses generative AI to produce convincing impersonations.

Veriff’s commitment to staying ahead of potential threats underscores its dedication to offering the most secure and cutting-edge solutions—a mission that it will continue to achieve on AWS.

About Veriff

Veriff is the preferred identity verification partner for the world’s biggest and best digital companies, including pioneers in fintech, gaming and the mobility sectors. It provides advanced technology, deep insights, and expertise from its foundation in digital-first Estonia.

AWS Services Used

Amazon Rekognition

Amazon Rekognition offers pre-trained and customizable computer vision (CV) capabilities to extract information and insights from your images and videos.

Learn more »

Amazon SageMaker

Amazon SageMaker is built on Amazon’s two decades of experience developing real-world ML applications, including product recommendations, personalization, intelligent shopping, robotics, and voice-assisted devices.

Learn more »

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