Resistant AI
AI-powered document fraud detection and transaction monitoring for financial services
Overview
Resistant AI is a Prague-based fraud detection platform serving financial institutions, insurance companies, and marketplaces. The company offers machine learning-based tools for identifying forged, manipulated, and AI-generated documents, targeting use cases such as insurance claims processing, loan underwriting, and merchant onboarding.
The platform processes documents in under 20 seconds, using 500+ fraud detectors to flag anomalies in PDFs and images. Document verdicts are delivered via REST API, allowing integration into existing workflows without replacing incumbent systems. A complementary transaction monitoring module enhances existing AML and financial crime systems.
Founded in 2019 by a team with prior experience in machine learning and network security, Resistant AI has raised USD 55.4M across a Series A and Series B. Investors include Google Ventures, Index Ventures, Experian, and Notion Capital. The company reports having analyzed 50M+ documents across 100+ enterprise customers, including insurance carrier Lemonade and mortgage lender Habito.
Products & Services
Documents
Detects fraudulent, tampered, or AI-generated documents submitted in PDF or image format. Documents are processed in under 20 seconds and scored across 500+ detection signals covering layout, metadata, and digital artefacts.
Key Features
- Identifies synthetically generated and digitally manipulated documents
- Processes documents via REST API with no replacement of existing systems required
- Reports 3x more fraud detected compared to manual review
Target Users: Insurance carriers, lenders, KYB/KYC teams
Transactions
AI-powered enhancement for existing transaction monitoring systems, focused on reducing manual review queues in AML workflows.
Key Features
- Integrates alongside existing transaction monitoring infrastructure
- Reported 5x faster review speed and greater than 90% reduction in manual reviews
- Supports APP fraud prevention and AML compliance use cases
Target Users: Banks, fintech platforms, insurance carriers with payment workflows
Defence in Depth
Combined fraud and financial crime detection spanning document verification, transaction monitoring, and AML capabilities in a single platform offering.
Key Features
- Covers the full customer lifecycle from onboarding through ongoing monitoring
- Combines document, transaction, and compliance signals into a unified view
- Supports merchant/KYB onboarding, loan underwriting, and insurance claims workflows
Target Users: Financial institutions, insurers, marketplace platforms
At a Glance
- Founded
- 2019
- Headquarters
- Prague, Czech Republic
- Employees
- 51-200
- Funding
- Series B
Category & Focus
- Category
- Claims Technology
- Subcategories
- Fraud Detection Document Authentication Transaction Monitoring AML/KYC
- Insurance Verticals
- P&C Commercial Specialty/E&S P&C Personal
- Target Customers
- Carriers, MGAs/MGUs, Brokers
Customers
- Lemonade
- Habito
- Payoneer
- Close Brothers
- Raiffeisen Bank
- Finom
- Capital on Tap
- Planet42
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Last updated: 2026-06-16