Resistant AI
Prague-based provider of AI-driven document forensics and transaction-monitoring tools that help financial institutions detect fraud and financial crime.
Visit Website ↗ + Add to Compare Claim This CompanyOverview
Resistant AI builds models that detect forged and manipulated documents and that upgrade transaction monitoring for fintechs and banks. Its products are Documents, Transactions and a combined Defense in Depth offering that adds behavior and identity signals.
The Prague company was launched in 2019 and announced a $25M Series B in October 2025, led by DTCP with Experian, GV and Notion Capital participating. Press coverage describes it as at breakeven.
Customers named on its site include Payoneer, Finom, Verto and Close Brothers.
Innovation Matrix Assessment
Focus on AI-generated document forgery and agent-driven fraud shows active adaptation to new threats.
Reduces manual review workload for fraud and compliance analysts, per customer testimonials.
$25M Series B from tier-one investors, ARR reportedly up 10x since Series A, and named financial-services customers.
Document forensics plus transaction monitoring is a differentiated pairing, but the fraud-detection space is crowded.
Named case studies exist, but performance figures are vendor-reported.
Synthetic documents and AI-agent fraud make this problem more relevant over time.
Why CISOs Should Care
Generative AI is making forged documents cheap; fraud and compliance teams need detection that does not depend on manual review.
What Makes It Different
Combines document-level forensics with transaction monitoring and threat intelligence rather than treating them as separate tools.
The Matrix Verdict
62/100 — INCREMENTAL INNOVATOR
Resistant AI is an Incremental-to-Meaningful candidate scoring in the Incremental Innovator tier: credible traction and evidence, but fraud prevention is adjacent to core cyber defense.
Editorial Note: Claims vs. Verified Findings
Claims such as 3x more fraud detected and over 90% fewer manual reviews are vendor-reported; funding and traction details come from press coverage of the company's announcement.
Sources
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