Resistant AI offers AI‑driven fraud detection for documents, transactions, and broader risk signals, enabling banks, fintechs, payment processors, and online marketplaces to automate verification and reduce false positives. Its Document product scans any PDF or image for forgery in seconds, while the Transactions engine adds over 80 pre‑trained models for real‑time AML and fraud monitoring, and the Defense‑in‑Depth layer fuses these signals into explainable risk scores via API‑first integration.
Funding
$25M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
2OFounders
Product
Problem
Financial institutions and online platforms rely on manual, rule‑based checks for documents and transactions, which are slow, error‑prone, and generate high false‑positive rates. This limits the speed of onboarding, loan approval, and fraud detection while exposing organizations to sophisticated document forgery, money‑laundering, and app‑fraud schemes.
Solution
Resistant AI provides AI‑driven fraud detection across documents, transactions, and broader risk signals. Its Document product scans any PDF or image for forgery, extracting and verifying data in seconds. The Transactions engine overlays existing monitoring systems with 80+ pre‑trained models that analyze behavior, graph relationships, and anomalies in real time (< 50 ms). The Defense‑in‑Depth layer aggregates signals from documents, device behavior, and transaction data to generate unified, explainable risk scores. All solutions integrate via APIs, require no replacement of legacy stacks, and deliver faster, more accurate decisions while reducing analyst workload.
Target Audience
Primary customers are banks, fintechs, payment processors, and online marketplaces that need to automate document verification and enhance transaction monitoring for AML, fraud, and compliance teams.
Features
- AI‑powered document verification that detects forged PDFs and images across any file type
- Real‑time transaction monitoring with over 80 off‑the‑shelf models covering AML, app fraud, and synthetic identity typologies
- Graph‑based money‑flow analysis and behavioral segmentation to uncover complex laundering rings
- Automatic model self‑tuning using analyst feedback to continuously improve precision
- Explainable risk scores and regulator‑ready audit trails for every alert
- Defense‑in‑Depth decision layer that fuses document, device, and transaction signals into a single holistic risk view
- API‑first integration that overlays existing monitoring platforms without replacing infrastructure