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Home Market Research Startups

Experian-backed Resistant AI secures €21.5M to fight AI-driven financial crime

by TheAdviserMagazine
9 hours ago
in Startups
Reading Time: 3 mins read
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Experian-backed Resistant AI secures €21.5M to fight AI-driven financial crime
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Around couple of months after raising funding, the Prague-based AI firm raised Series B funding to expand fraud prevention tech and fight AI-driven financial crime. 

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Prague-based Resistant AI, a provider of native AI models for financial crime and fraud prevention, has secured $25M (approximately €21.5M) in a Series B funding round.

The round was led by DTCP, with strong participation from existing investors, including Experian, GV, and Notion Capital.

DTCP is a global investment management firm with over €3 billion in assets under management. The firm supports those who create the digital world by investing in technologies and infrastructure that make modern life possible.

Michael Rager, Partner at DTCP Growth, comments, “Resistant AI represents the future of financial crime prevention, with their in-house built multi-model approach to fraud detection marking a paradigm shift in how financial institutions can protect themselves and their customers. We look forward to partnering with Martin and the Resistant AI team to support the business in its next stage of growth.”

The Czech company, which reached breakeven in September, will use the capital to strengthen its position as a profitable leader in the EU AI industry.

This will involve expanding its document fraud detection and transaction monitoring services into new regions and forming new partnerships.

Additionally, the company plans to improve its threat intelligence capabilities.

The announcement comes around two months after securing a strategic investment from Experian, a global data and technology company.

Since its Series A, the company’s Annual Recurring Revenue (ARR) has increased 10x, while its customer base has grown 4x.

With its services, the company claims to have verified more than 150 million documents.

The number of transactions checked for fraud and anti-money laundering (AML) has increased significantly due to growing demand in the financial services sector.

Resistant AI: Protecting financial services from threats

Founded in 2019 by Martin Rehak, Resistant AI has developed state-of-the-art machine learning techniques to protect financial services from manipulation and attack. 

Resistant Documents verifies any document’s fraud and authenticity within seconds, while Resistant Transactions enhances existing rules-based transaction monitoring systems targeting advanced financial crime typologies.

It’s 80+ off-the-shelf AI models can detect advanced fraud and money laundering behaviours, before transactions occur, with full explainability.

The company’s solutions look for anomalies in documents, transactions, serial fraud, synthetic identities, account takeovers, money laundering, and behaviours.

This provides a 360-degree view of each customer, which can double the number of threats detected

As per the company’s claims, customers such as Anna Money, Bank of Valletta, Moneta Money Bank, Finom, and more who use Resistant AI receive actionable insights to 5x their analyst productivity while tripling their detections of novel fraud and financial crimes. 

At present, the company employs over 100 team members across offices in Prague, London, and New York.

Martin Rehak, CEO and Founder of Resistant AI, says, “The financial crime landscape has fundamentally changed with the deployment of LLMs and AI agents in risk prevention settings, and the weaponisation of generative AI by fraudsters. Our fraud and fincrime models offer any institution the tools to empower both their human and agentic co-pilots to combat these AI-powered threats at scale. This funding, combined with our near-term path to profitability, allows us to accelerate our mission of protecting the global financial system from increasingly sophisticated criminal networks.”



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Tags: 21.5MAIdrivenCrimeExperianbackedFightfinancialResistantsecures
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