Resistant AI

Resistant AI Competitive Intelligence & Landscape

resistant.ai ·

Resistant AI
ForesightIQ Predictions

What is Resistant AI likely to do next?

ForesightIQ connects Resistant AI's hiring, product, web, ad, and market signals to forecast strategic moves — often months before they're announced.

Hiring signal

Senior hiring patterns point to a planned enterprise product line launching within two quarters.

High confidence · Next 1–2 quarters
Product signal

Quiet changes to docs and pricing pages signal an upcoming usage-based pricing tier and new API surface.

Likely · Next quarter
Market signal

Ad spend and partnership activity indicate a push into the mid-market segment across two new regions.

Plausible · Next 2–3 quarters
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Overview

Resistant AI Overview

Resistant AI (resistant.ai) is a cutting-edge fraud detection software company established in 2019 by a team of nine cybersecurity professionals in Prague [resistant.ai/press-center]. Their mission is to build AI to catch criminal AI, leveraging their extensive background in studying adversaries, reverse-engineering threats, and designing adaptive security systems [resistant.ai/about/]. The company focuses on protecting organizations from fraud and financial crime by delivering proven and trustworthy results [resistant.ai/about/].

Resistant AI offers two primary products: Resistant Documents and Resistant Transactions.

Resistant Documents is an industry-leading document fraud detection system designed to catch fake, tampered, or AI-generated documents in seconds, analyzing over 170 million documents globally [resistant.ai/, info.resistant.ai/ppc-lp-general-doc-fraud]. This product helps verify KYB documents, approve loans, screen tenants, and process claims by detecting fraud that human reviewers often miss, examining metadata, internal structure, context, and images [info.resistant.ai/ppc-lp-general-doc-fraud]. It boasts a 3x increase in fraud detection, over 90% fewer manual reviews, and a 5x review speed, completing checks in under 20 seconds per document [resistant.ai/].

Resistant Transactions is a transaction monitoring software that flags suspicious activities in financial transactions, boosting existing monitoring systems with AI [resistant.ai/press-center, resistant.ai/].

The company's solutions are vital for industries involved in high-volume customer onboarding, loan underwriting, tenant screening, and claims processing. Notable customers include Payoneer for high-volume merchant onboarding, Habito for online mortgage brokering, Finom for cross-border AML transaction monitoring, and Close Brothers, which saw a 22x ROI in motor finance fraud prevention [resistant.ai/].

Resistant AI has secured significant funding, including a $16.6 million Series A round in 2021 and a $25 million Series B round in 2025, with investments from GV (formerly Google Ventures), Experian, and Notion Capital [resistant.ai/news/resistant-ai-announces-16.6-million-in-series-a-funding, resistant.ai/blog/resistant-ai-raises-25-million-in-series-b-funding-to-empower-ai-agents-to-fight-fraud-and-fincrime]. While founded in Prague, the company also has a presence in New York [resistant.ai/press-center, resistant.ai/contact/].

Competitors

Resistant AI Competitors

Resistant AI (resistant.ai) operates in the highly competitive fraud detection and financial crime prevention market, distinguishing itself with an AI-first approach to safeguarding financial institutions. The company specializes in detecting document fraud across various file types like PDFs and images, and enhancing existing transaction monitoring systems. Its solutions cover critical use cases such as merchant onboarding, loan underwriting, tenant screening, and AML transaction monitoring, aiming to boost efficiency and security throughout the entire customer lifecycle. Compared to broader cybersecurity firms, Resistant AI maintains a focused niche on AI-powered KYC and AML solutions for financial services, making it a specialized player in a crowded field [https://www.comparebiztech.com/resistantai-alternatives-and-competitors].

One significant competitor is Jumio, which offers a comprehensive digital identity verification platform. While Jumio provides robust document authentication, biometric authentication, and liveness detection, its solutions are generally more complex and costly than Resistant AI's, involving extensive document content reading.

Jumio is often favored for detailed individual identity verification by aggregating documentation from multiple sources, whereas Resistant AI excels in high-volume, rapid document and transaction fraud detection, emphasizing speed and accuracy for processes like high-volume merchant onboarding and loan underwriting [https://xyzeo.com/product/resistant-ai], [https://rightaichoice.com/tools/resistant-ai].

Feedzai presents another key competitor, particularly within the financial technology sector.

Feedzai focuses broadly on financial crime prevention, offering tools for fraud detection and risk management to safeguard financial transactions and institutions. While both companies address financial crime, Feedzai's offerings are geared towards comprehensive compliance and risk management processes across various financial organizations [https://www.cbinsights.com/company/resistant-ai].

Resistant AI, in contrast, highlights its ability to triple risk coverage and reduce manual reviews by 90% through its specialized document fraud and transaction monitoring capabilities, appealing to clients seeking targeted AI solutions for fincrime prevention [https://rightaichoice.com/tools/resistant-ai].

Companies like SEON and Citizen also compete with Resistant AI in the e-commerce fraud protection software market [https://getlatka.com/companies/resistant.ai/competitors].

SEON typically provides a suite of fraud prevention tools, often leveraging data enrichment and machine learning to build risk profiles.

Citizen, on the other hand, might focus more on consumer-centric identity verification or payment authentication.

Resistant AI differentiates itself through its strong emphasis on document fraud detection and its deep integration capabilities for enhancing existing transaction monitoring systems, offering a specialized layer of defense against sophisticated financial fraud [https://www.comparebiztech.com/resistantai-alternatives-and-competitors].

Furthermore, Precognitive, Simility, and Trusting Social are recognized as direct competitors [https://craft.co/resistant-ai/competitors]. While specific differentiators for each are not detailed, these companies likely offer varying strengths in fraud detection, risk assessment, and financial crime prevention.

Resistant AI's core value proposition revolves around its advanced AI models capable of identifying document manipulation and transactional anomalies with high precision, catering to institutions looking to automate and secure their decision-making processes against online fraud [https://www.comparebiztech.com/resistantai-alternatives-and-competitors].

Alternatives

Resistant AI Alternatives

Product & Pricing

Resistant AI Product and Pricing Intelligence

Resistant AI (resistant.ai) specializes in AI-powered fraud detection, offering solutions primarily focused on document fraud detection and transaction monitoring. Their Resistant Documents product is touted as an industry-leading system, having analyzed over 170 million documents globally to identify fake, tampered, or AI-generated PDFs and images. This system can detect fraud invisible to the human eye by scrutinizing metadata, internal structure, context, image consistency, backgrounds, and fonts. It supports various use cases, including merchant onboarding, loan underwriting, tenant screening, and claims processing, providing rapid verification typically under 20 seconds per document.

While Resistant AI emphasizes its document and transaction fraud detection capabilities, specific pricing plans, tiers, or a free vs. paid feature breakdown are not publicly disclosed on their website. They promote their solutions as highly effective, claiming to detect 3x more fraud, achieve over 90% fewer manual reviews, and offer 5x faster review speeds. Customers interested in their offerings are directed to "Book a demo" or "Request a private offer," especially for their AWS Marketplace availability [Source: https://resistant.ai/aws], suggesting a personalized sales approach rather than standardized pricing tiers.

Their Resistant Transactions product complements their document focus by boosting existing transaction monitoring systems to catch more financial crime and money laundering behaviors. This solution offers real-time fraud prevention and advanced AML detections, moving beyond traditional rule-based systems.

Resistant AI integrates with various workflows, including KYC, KYB, claims, and investigations, to provide consistent and auditable decisions, with the ability to deploy via API or a simple drag-and-drop interface for immediate fraud detection [Source: https://info.resistant.ai/ppc-lp-document-types].

Hiring & Layoffs

Resistant AI Hiring and Layoffs

While specific hiring trends and layoff information for Resistant AI are not publicly detailed, the company's career pages consistently emphasize a mission to combat financial crime through AI expertise [resistant.ai/career/]. They actively seek world-class professionals to join their teams in locations such as Prague, London, and New York [resistant.ai/blog/resistant-ai-raises-25-million-in-series-b-funding-to-empower-ai-agents-to-fight-fraud-and-fincrime]. The French version of their career page reiterates this commitment, highlighting the need for individuals to help financial firms fight document and transaction fraud [resistant.ai/fr/career]. This suggests a continuous drive to attract talent aligned with their core mission of applying cutting-edge AI to outsmart criminals [resistant.ai/about/].

The company's growth is further underscored by its successful Series B funding round, which enabled Resistant AI to expand its team to over 100 employees across its global offices [resistant.ai/blog/resistant-ai-raises-25-million-in-series-b-funding-to-empower-ai-agents-to-fight-fraud-and-fincrime]. This significant investment and expansion signal a strong growth trajectory rather than layoffs. Their hiring patterns reflect a strategic focus on bolstering their capabilities in document fraud detection (Resistant Documents) and transaction monitoring software (Resistant Transactions), which are critical to their offerings [resistant.ai/press-center].

Resistant AI's continuous hiring for roles focused on AI professionals and financial crime specialists indicates a clear strategic direction: investing in human capital to enhance their AI-powered fraud detection solutions [resistant.ai/career/]. The company's emphasis on "technical excellence meets real-world purpose" highlights a culture that values impactful contributions in the fight against sophisticated fraud, including AI-generated documents [resistant.ai/career/ resistant.ai]. Their ongoing recruitment efforts suggest a robust and expanding company committed to staying at the forefront of cybersecurity and financial crime prevention.

Leadership

Resistant AI Management and Leadership Team

Resistant AI (resistant.ai) is spearheaded by a leadership team deeply rooted in cybersecurity and AI innovation. The company's CEO and Co-Founder is Martin Rehak [resistant.ai/press-center], who brings significant prior experience as the CEO and Founder of Cognitive Security, a company acquired by Cisco in 2013 [resistant.ai/press-center]. Rehak specializes in the dynamics of fraud, KYC/AML compliance, and the integration of AI for financial crime prevention [resistant.ai/press-center]. His insights are frequently featured on the company's blog and news sections, discussing topics like global document fraud and combating financial fraud with AI [resistant.ai/blog/author/martin-rehak, resistant.ai/news/author/martin-rehak, resistant.ai/news/5-minutes-with-martin-rehak-ceo-at-resistant-ai-1].

Recent additions and key roles within Resistant AI include Roger Walton, who serves as the Chief Revenue Officer [resistant.ai/resources/building-a-new-way-to-stay-ahead-of-bad-actors-with-ai-ml].

Jan Syrinek holds the position of Product Manager for Documents, leading the development of the company's document fraud detection software, with a focus on KYC and underwriting [resistant.ai/press-center]. These leaders contribute to Resistant AI's mission of building AI to combat criminal AI, drawing from careers spent studying adversaries and designing adaptive systems [resistant.ai/about/].

The expertise of the Resistant AI team is evident in their customer testimonials, where individuals like Ryan Edmeades, MLRO and Head of Financial Crime, Petr Volevecký, Head of Credit Fraud Risk, and Katarina Demchuk, Identity Verification PM, highlight the effectiveness of Resistant AI's solutions in reducing fraud and enhancing detection capabilities [info.resistant.ai/ppc-lp-document-types, info.resistant.ai/ppc-lp-banking-lending-financial-risk, info.resistant.ai/ppc-lp-general-doc-fraud, resistant.ai/products/transactions/]. The company continues to evolve its offerings, developing AI-powered solutions to combat fraud in financial services documentation and workflows, in collaboration with partners like Google Cloud [resistant.ai/resources/building-a-new-way-to-stay-ahead-of-bad-actors-with-ai-ml].

Financials

Resistant AI Financial Performance, Fundraising, M&A

Resistant AI has successfully secured substantial funding to fuel its growth and product development in the artificial intelligence security space. The company initially announced a Series A funding round of $16.6 million in October 2021, with investments from prominent firms including GV (formerly Google Ventures), Index Ventures, Credo Ventures, and Seedcamp [https://resistant.ai/news/resistant-ai-announces-16.6-million-in-series-a-funding]. This initial capital was earmarked to expand its product, engineering, and sales operations, signaling strong investor confidence in its AI-driven fraud detection solutions.

Demonstrating continued momentum and increasing demand for its services, Resistant AI extended its Series A funding to $27.6 million. This additional investment was a direct response to the growing need among fintechs and financial institutions to combat sophisticated, AI-driven financial crime and automated attacks [https://resistant.ai/news/resistant-ai-extends-series-a-to-27.6m]. The company, founded in 2019 by nine cybersecurity professionals, has rapidly established itself as a leader in applying cutting-edge AI to outsmart criminals, a mission rooted in its founders' extensive experience in cybersecurity and threat reversal [https://resistant.ai/about/].

While specific revenue figures and detailed valuations beyond the funding rounds are not publicly disclosed, Resistant AI highlights significant operational efficiencies and fraud detection improvements for its clients. Its Resistant Documents product, for instance, boasts a 3x increase in fraud detection, over 90% fewer manual reviews, and a 5x review speed, processing documents in under 20 seconds [https://resistant.ai/]. The company also reported checking over 150 million documents for fraud, indicating substantial activity and market penetration [https://info.resistant.ai/ppc-lp-ocr-automation-document-processing]. These metrics underscore the company's strong value proposition and its financial health, driven by its ability to deliver tangible savings and enhanced security to its customers.

Resistant AI has also achieved key certifications, such as SOC 2 Type 2 in December 2023, confirming its commitment to secure and private handling of internal and customer data [https://resistant.ai/news/resistant-ai-achieves-soc-2-type-2-certification-resistant-ai]. This dedication to security and compliance further strengthens its market position and appeal to financial institutions. While no M&A activities are explicitly detailed, the company's continuous innovation in fraud detection and its expansion on platforms like AWS Marketplace [https://resistant.ai/aws] demonstrate a robust strategy for organic growth and broader market reach.

Partnerships

Resistant AI Partnerships, Clients and Vendors

Resistant AI (resistant.ai) has established a robust network of partnerships and a distinguished client base, reflecting its commitment to combating financial crime and fraud with advanced AI. Notably, Experian made a strategic investment in Resistant AI to bolster its fraud and financial crime offerings, solidifying a pioneering partnership aimed at launching APP fraud solutions for the UK finance industry [Source: https://resistant.ai/blog/resistant-ai-teams-up-with-experian]. This commitment was further underscored when Experian doubled down on its investment in Resistant AI's $25 million Series B funding round, alongside Google Ventures (GV) and Notion Capital, with DTCP Growth leading the round [Source: https://resistant.ai/blog/resistant-ai-raises-25-million-in-series-b-funding-to-empower-ai-agents-to-fight-fraud-and-fincrime].

Resistant AI's client roster includes prominent financial institutions leveraging its AI-powered solutions.

Finom, a Netherlands-based B2B fintech platform, implemented Resistant AI's Transaction Forensics to enhance its anti-money laundering (AML) defenses, showcasing Resistant AI's ability to overlay and improve existing transaction monitoring systems [Source: https://resistant.ai/case-studies/finom] [Source: https://resistant.ai/news/finom-selects-resistant-ais-transaction-forensics-to-strengthen-its-money-laundering-defences/]. Other key customers mentioned on the homepage include Payoneer for high-volume merchant onboarding, Habito for online mortgage brokering, Verto for Pan-African merchant onboarding, LYNK Capital for commercial real estate loan fraud prevention, Planet42 for rent-to-buy car subscription loans, and Close Brothers for motor finance fraud prevention.

Beyond direct clients, Resistant AI has forged technology integrations and ecosystem relationships to expand its reach and capabilities. The company partnered with Certa, a leading third-party risk management platform, to automate document verification at scale, accelerating vendor and customer onboarding while preventing fraud [Source: https://resistant.ai/news/certa-partners-with-resistant-ai-to-automate-document-verification-at-scale]. Collaborations also extend to Lucinity, an AI-powered FinCrime investigation platform, to deliver advanced AI-powered fincrime prevention solutions by complementing scenario-based monitoring with behavioral detection [Source: https://resistant.ai/news/lucinity-and-resistant-ai]. Furthermore, ComplyAdvantage partnered with Resistant AI to enhance AML capabilities for financial organizations [Source: https://resistant.ai/news/complyadvantage-partners-with-resistant-ai-to-enhance-aml-capabilities-for-financial-organizations], and Client Fabric Tech integrated Resistant AI’s enhancement technology as a key component in its ecosystem for fighting financial crime [Source: https://resistant.ai/news/resistant-ai-partners-with-client-fabric-tech-resistant-ai]. These partnerships underscore Resistant AI's strategy to integrate its cutting-edge AI into diverse financial crime prevention ecosystems.

Events

Resistant AI Event Participations

Resistant AI (resistant.ai) actively participates in and sponsors numerous industry events, demonstrating its commitment to combating financial crime and fraud. The company was a proud sponsor of Insurance Innovators Europe 2025, where it partnered with Hyperscience at Europe's leading fraud and claims event in London [resistant.ai/news/insuranceinnovators]. Additionally, Resistant AI was a sponsor of FINTECH Meetup 2025 in Las Vegas, an event bringing together thousands of fintech professionals [resistant.ai/news/meet-us-at-fintech]. They also supported the 19th Annual UK AML & Financial Crime Seminar in London, with Kathy Gormley representing Resistant AI as a Thought Leadership Sponsor [resistant.ai/news/london-april-24-25-19th-annual-uk-aml-financial-crime-seminar].

Resistant AI also makes its presence known at key insurance technology gatherings. They were a prominent participant at Insurtech Insights, where CEO Martin Rehak delivered a speech on the Tech stage titled "Using AI to Commit Scalable Insurance Fraud" [resistant.ai/news/insurtech-insights]. The company further engaged with the financial community by sponsoring CAF Identity Day in Brazil, featuring Jan Syrinek on a panel discussing the detection and prevention of synthetic identity fraud [resistant.ai/news/caf].

Resistant AI also sponsored Transform Finance in London, where attendees could visit their booth and participate in a roundtable discussion led by Roger on balancing fraud and AML agendas [resistant.ai/news/transformfinance].

Beyond conferences, Resistant AI consistently supports significant forums focused on financial security. They were a proud sponsor of FFECON25, inviting attendees to visit Booth #14 to explore their innovative solutions for fraud detection, anti-money laundering, and transaction monitoring [resistant.ai/news/meet-us-at-ffecon25].

Resistant AI also sponsored the Cifas Members Forum 2024, hosting a "Spot the Fraud Competition" at their booth, offering a chance to win Apple AirTags by identifying fraudulent documents [resistant.ai/news/cifasmembersforum2024]. Their commitment extends to Financial Crime 360, where they showcased cutting-edge solutions for preventing fraud and money laundering and enhancing transaction monitoring systems [resistant.ai/news/financialcrime360]. Furthermore, Resistant AI hosted a free webinar, "From Template Farm to Serial Document Fraud: Protecting Your Organization," addressing the persistent threat of serial document fraud driven by online template farms [resistant.ai/news/template-farm-to-serial-document-fraud-webinar].

Frequently Asked Questions

What does Resistant AI's frequent event sponsorship suggest about its market positioning strategy?

Resistant AI's active participation and sponsorship of numerous industry events, such as Insurance Innovators Europe, FINTECH Meetup, and FFECON25, indicates a strategy focused on increasing market visibility and establishing thought leadership in the financial crime and fraud prevention space. By engaging with professionals at key fintech and insurance gatherings, they aim to attract new clients and reinforce their commitment to combating sophisticated fraud.

What does Resistant AI's hiring focus on AI and financial crime specialists signal about its strategic priorities?

Resistant AI's consistent hiring for AI professionals and financial crime specialists, particularly following its $25 million Series B funding, signals a clear strategic priority: to continuously enhance its AI-powered fraud detection solutions. This indicates a commitment to expanding capabilities in areas like document fraud detection and transaction monitoring, leveraging human capital to stay ahead of evolving threats.

What does the $25 million Series B funding round in 2025, following a $16.6 million Series A, imply about Resistant AI's financial trajectory?

The successive funding rounds, culminating in a $25 million Series B in 2025, imply a strong and accelerating growth trajectory for Resistant AI. This investment, led by DTCP Growth and including GV and Experian, demonstrates significant investor confidence in their AI-driven fraud detection solutions and signals a healthy financial outlook focused on scaling operations and product development.

What is the strategic implication of CEO Martin Rehak's background at Cognitive Security and subsequent acquisition by Cisco for Resistant AI?

CEO Martin Rehak's previous experience as CEO and Founder of Cognitive Security, which was acquired by Cisco, implies a strategic advantage for Resistant AI in terms of leadership and potential exit strategies. This background suggests Rehak possesses expertise in building and scaling cybersecurity companies, which likely influences Resistant AI's innovative approach to combating criminal AI and its growth ambitions.

How does Resistant AI differentiate itself from competitors like Jumio and Feedzai in the fraud detection market?

Resistant AI differentiates itself by focusing on rapid, high-volume AI-powered document fraud detection and enhancing existing transaction monitoring systems, boasting 3x greater fraud detection and 90% fewer manual reviews. While Jumio offers comprehensive identity verification, often at a higher cost, and Feedzai provides broader financial crime prevention, Resistant AI targets specialized, high-efficiency fraud prevention in specific use cases like merchant onboarding and loan underwriting.

What does the partnership with Experian, including a strategic investment, indicate about Resistant AI's market expansion strategy?

The strategic partnership and investment from Experian indicate Resistant AI's intent to expand its market reach, particularly in the UK finance industry for APP fraud solutions. This collaboration with a major financial data company suggests a strategy to leverage established networks and expertise to integrate Resistant AI's fraud detection capabilities into broader financial services offerings.

What does the focus on 'Resistant Documents' and 'Resistant Transactions' tell us about Resistant AI's core product strategy?

Resistant AI's focus on 'Resistant Documents' and 'Resistant Transactions' indicates a core product strategy centered on addressing two critical vectors of financial crime: manipulated documents and suspicious financial flows. This dual approach emphasizes comprehensive protection by detecting fraud both at the onboarding/verification stage and during ongoing financial activity, leveraging AI for speed and accuracy.

What does Resistant AI's successful client implementations with companies like Payoneer and Close Brothers signal about its value proposition?

Resistant AI's successful client implementations with companies such as Payoneer for merchant onboarding and Close Brothers, which saw a 22x ROI in motor finance fraud prevention, signal a strong value proposition centered on tangible results. These case studies demonstrate the company's ability to deliver significant fraud reduction, operational efficiency, and measurable ROI for clients across diverse financial services sectors.

How does Resistant AI's emphasis on detecting 'AI-generated documents' position it against emerging fraud threats?

Resistant AI's emphasis on detecting 'AI-generated documents' positions it as a forward-thinking solution directly addressing emerging fraud threats. By building 'AI to catch criminal AI,' the company signals its readiness to combat sophisticated, evolving fraud techniques, reassuring clients that its technology is designed to counter the latest methods used by adversaries.

What does the absence of public pricing tiers or a free vs. paid model suggest about Resistant AI's sales approach?

The absence of public pricing tiers or a free vs. paid model suggests Resistant AI employs a personalized, enterprise-focused sales approach. Directing potential customers to 'Book a demo' or 'Request a private offer' implies that their solutions are tailored to specific client needs and integrated into complex financial workflows, rather than offered as off-the-shelf products.

What do the diverse technology integrations with partners like Certa and Lucinity indicate about Resistant AI's ecosystem strategy?

The diverse technology integrations with partners such as Certa for automated document verification and Lucinity for AI-powered FinCrime investigation indicate Resistant AI's ecosystem strategy is to embed its specialized AI capabilities within broader financial crime and risk management platforms. This approach expands its reach and allows it to complement existing systems, enhancing overall fraud prevention across the financial sector.

What does the SOC 2 Type 2 certification in December 2023 signify for Resistant AI's appeal to financial institutions?

The SOC 2 Type 2 certification achieved in December 2023 signifies a critical commitment to data security and privacy, which is highly appealing to financial institutions. This certification demonstrates Resistant AI's adherence to stringent controls for handling customer data, thereby building trust and reducing a key barrier to adoption for highly regulated clients.

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