Resistant AI - Fraud Detection Tech Stack

AI-powered document fraud detection for lending and KYC workflows

Financial Services Prague 51–200 employees Founded 2019 Privately Held

Resistant AI detects forged and manipulated documents across banking, lending, and identity verification use cases. The stack—Python, FastAPI, AWS Lambda, DynamoDB—reflects a microservices-oriented backend tuned for high-throughput API inference. Hiring is engineering-heavy with five roles open, and the pain-point list reveals active work on model drift monitoring and synthetic-identity detection, suggesting they're moving beyond static fraud patterns toward continuous model evaluation and account-takeover prevention.

Tech Stack 24 technologies

Core StackPython FastAPI AWS AWS Lambda DynamoDB Sentry Docker GitLab Okta TypeScript Vue Excel Google Sheets Git bash API Gateway Aurora AWS Step Functions Batch Vuetify

AdoptingAWS CDK

What Resistant AI - Fraud Detection Is Building

◆Challenges

Detecting synthetic identities
Preventing account takeovers
Stop fraud and manipulation at scale
Scaling event operations
Expanding global presence
Money laundering detection
Preventing financial fraud
Protecting ai systems
Preventing fraud and money laundering
Monitoring trends and drifts in detection models

▲Active Projects

Proof of concept projects
Pre-sales initiatives
In-person marketing events
Membership association activities
Model training tool maintenance
Evaluation of detection models
Pdf fraud detection system
Anomaly detection in pdf documents
Neural network training tool
Document template matching tool

Hiring Activity

Accelerating8 roles · 5 in 30d

Department

Engineering

Data

Marketing

Research

Seniority

Mid

Junior

Senior

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About Resistant AI - Fraud Detection

Resistant AI builds a document fraud detection platform deployed in digital lending, KYC onboarding, merchant screening, and employment verification workflows. The system analyzes documents across all formats and languages—PDFs, images, bank statements, IDs, pay stubs—and renders a fraud verdict in under 20 seconds via manual upload or automated API integration. The company is headquartered in Prague and operates with a 51–200-person team split across engineering, data, marketing, and research functions, with active hiring in Czechia and the United States.

HeadquartersPrague

Company Size51–200 employees

Founded2019

Hiring MarketsCzechia, United States

Frequently Asked Questions

What tech stack does Resistant AI use?

Core stack: Python, FastAPI, AWS (Lambda, DynamoDB, Aurora, API Gateway, Step Functions, Batch), Docker, GitLab, Vue.js. Actively adopting AWS CDK for infrastructure-as-code.

What document types does Resistant AI detect fraud in?

Bank statements, pay stubs, IDs, utility bills, tax forms, and other document types in all formats (PDFs, images) and languages, with a target accuracy of 99% on fraud verdicts.