Czechia

Prague-Based Resistant AI Receives Investment From Experian to Tackle APP Fraud

Aug 4, 2025 | By Kailee Rainse

Prague-based Resistant AI, a company that helps protect financial services from fraud and financial crime, has received a strategic investment from Experian.

SUMMARY

  • Prague-based Resistant AI, a company that helps protect financial services from fraud and financial crime, has received a strategic investment from Experian.

Experian is a global data and technology company that offers smart, data-driven solutions for both individuals and businesses. They focus on improving lending, preventing fraud, simplifying healthcare services, supporting digital marketing, and providing insights into industries like automotive.

By combining data, analytics, and software, Experian helps solve real-world problems across sectors such as finance, healthcare, insurance, agriculture, and more. The company also invests in skilled talent and advanced technologies to make the most of data and drive innovation.

“The landscape and sophistication of financial crime have evolved and it is imperative for financial institutions to leverage advanced technologies that enhance their visibility and responsiveness” says David Bates, Managing Director of Credit and Verification Services Experian UK&I.

“This partnership enables financial institutions to effectively combat sophisticated fraud and money laundering techniques, safeguarding not only their operations and reputation but also their customers,” adds Bates.

Experian’s latest Fraud and Financial Crime report reveals that Authorised Push Payment (APP) fraud is the biggest threat to UK businesses, making up 47% of fraud cases. To tackle this issue, Experian is teaming up with Resistant AI to develop a specialised solution focused on APP fraud prevention.

Read Also - Moore Kingston Smith Acquires Insolvency Specialist CBW Recovery

APP fraud often uses money-mule networks and real-time bank transfers, making it hard to track. While banks and payment providers need better insight into these transactions, privacy laws create limitations.

The new solution will use advanced AI to detect fraud and money laundering in real time. It will integrate with current transaction monitoring systems, helping businesses identify and stop suspicious transfers before they are completed. Importantly it will also detect new fraud types without disrupting existing systems or requiring major changes. The solution is expected to be available later this year.

Founded in 2019 by Martin Rehak, Resistant AI uses advanced machine learning to protect financial services from fraud and cyberattacks. The company offers over 80 ready-to-use AI models that can detect complex fraud and money laundering patterns before a transaction happens—all with clear explanations.

According to the company, clients like Anna Money, Bank of Valletta, Moneta Money Bank, and Finom have boosted analyst productivity by 5 times and tripled their detection of new financial crimes using Resistant AI’s technology.

Their tools analyze documents, transactions, account behavior, synthetic identities, and more—giving businesses a complete, 360-degree view of each customer and helping them detect twice as many threats.

Martin Rehak, CEO of Resistant AI, says, “Financial criminals are increasingly using AI techniques to innovate and scale successful attacks to a large number of victims. Simultaneously, the boundaries between fraud and AML are disappearing; APP fraud can morph into money laundering in under 5 seconds. This makes traditional rule-based engines with manual analysis rapidly obsolete – the use of AI in financial crime prevention stacks is no longer optional. Our joint offering combines broad data with the best engines to deliver highly accurate, real-time prevention.”

About Resistant AI

Resistant AI detects document fraud in under 20 seconds across formats, languages, and use cases like KYC, lending, and insurance. It reduces manual reviews by 90%, speeds up checks by 60%, and delivers 99% accuracy. Trusted globally, it has analyzed over 150M documents using 500+ detectors and patented AI models.

Recommended Stories for You