Resistant AI raises $25 million Series B as Prague steps up in the fight against fintech fraud

Prague-based Resistant AI has secured a $25 million Series B led by DTCP Growth with participation from existing backers Google Ventures, Notion Capital, and Experian. The round lifts total funding above $55 million and will accelerate the company’s AI-driven fraud and financial crime prevention products. It also puts a fresh spotlight on Prague’s fast-rising role in Europe’s cybersecurity and fintech security landscape.

Prague’s fintech security momentum draws global attention

The investment marks a significant win for the Czech tech ecosystem and signals investor confidence in Prague as a hub for advanced security research and product development. DTCP Growth partner Michael Rager described the deal as a shift in how banks and fintechs can protect customers, a view echoed across Europe’s venture community. As reported by EU-Startups, the new capital positions Resistant AI to scale its platform as financial crime grows more automated and more sophisticated.

Capital focused on product scale and customer outcomes

Resistant AI now tops $55 million in total funding. Chief executive Martin Rehak said the company will channel the round into expanding its AI defense systems, strengthening threat intelligence, and pushing deeper into new markets and partnerships. The company hit profitability in September 2025, which gives it room to invest while maintaining operating discipline.

The roadmap includes broader coverage for document fraud detection and tighter transaction monitoring, areas the company has outlined publicly and which The SaaS News also highlighted in its report on the round.

Real world fraud threats meet purpose built AI

Resistant AI’s core products, Resistant Documents and Resistant Transactions, are built to uncover forged documents, synthetic identities, money laundering, and authorized push payment fraud. This is not a lab exercise. The company works with customers such as Dun and Bradstreet, Payoneer, AXA, and PennyMac, where any delay in detection can turn into losses and regulatory exposure.

Internal performance data points to a threefold improvement in fraud detection, a fivefold reduction in review time, and up to 90 percent automation for customers. Those gains mirror a broader shift toward automation across back office and risk operations, where platforms like Make.com are helping teams build repeatable processes. As Rager put it, the company’s multi model approach is landing with banks and fintechs because it shows measurable impact, a theme playing out across AI powered CFO tooling as well.

AI driven crime scales faster than legacy controls

The urgency is clear. Criminal networks now use generative AI to create convincing documents and identities at industrial scale. Rehak warned that traditional checks cannot keep up as deepfake voice and video, synthetic identities, and automated content generation raise the bar for detection. Fraudsters are not just creative, they are using the latest tools, from deepfake scams and AI impersonators to scripted laundering techniques that probe the edges of compliance programs.

Industry surveys point to a sharp problem in onboarding and lending workflows where a significant share of documents are altered or fabricated. On the technology front, large language models can invent details in generated content, so controls that understand how AI behaves are becoming part of baseline security for regulated institutions.

Recommended tech

As fraudsters get better at faking identities online, protecting your personal information matters more than ever. While Resistant AI secures businesses, individuals need their own line of defense. The TechBull recommends Aura for its all in one identity theft and online threat protection to stay a step ahead of digital criminals.

Prague emerges as a European nerve center for fintech security

Resistant AI employs more than 100 people across Prague, London, and New York, with the center of gravity in the Czech capital. Rehak said Prague is now firmly on the map for AI and fintech security, a view supported by a growing cohort of Czech companies in fraud, risk, and data infrastructure. As SecurityWeek noted, this is among the largest recent raises for a Czech startup in the fraud prevention space and it adds momentum to the local ecosystem.

What comes next for Resistant AI

The company plans to deepen research into emerging fraud patterns while making transaction monitoring easier to integrate for banks, fintechs, and lenders of all sizes. The aim is to stay a step ahead as adversaries adapt. Rehak framed it simply. The mission is to give every fintech the ability to anticipate the next move, not just react to it. Investors appear aligned with that plan. Rager expects the company to help define best practices in the next wave of fintech security across Europe and beyond.

FAQs

Who led Resistant AI’s $25 million Series B?

DTCP Growth led the round with participation from existing investors Google Ventures, Notion Capital, and Experian.

What will the new funding be used for?

Resistant AI plans to scale its AI driven defense systems, expand threat intelligence, and grow its document fraud and transaction monitoring products while entering new markets and partnerships.

Which products does Resistant AI offer to combat fraud?

The company’s core products are Resistant Documents and Resistant Transactions, which target forged documents, synthetic identities, money laundering, and authorized push payment fraud.

Which companies already use Resistant AI?

Customers include Dun and Bradstreet, Payoneer, AXA, and PennyMac, among others.

Why is Prague gaining attention in fintech security?

Prague has a strong talent base in AI and security engineering, rising investor interest, and a cluster of fintech and cybersecurity startups, which together are turning the city into a European hub.

How serious is AI generated financial fraud today?

It is growing quickly. Criminals use generative AI to produce convincing fake documents and identities at scale, and deepfake based social engineering is testing traditional defenses during onboarding, lending, and payments.