RaptorX provides AI-native solutions for real-time fraud and Anti-Money Laundering (AML) detection across payments and user activities. The platform utilizes graph-based entity resolution and behavioral pattern analysis to identify first-time fraud, including synthetic ID and account takeover, with high precision. This integrated approach reduces false positives while ensuring compliance with financial regulations like FinCEN and OCC.
Funding
$810K 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.
Founders
Product
Problem
Businesses face increasing challenges in detecting and preventing transaction and identity fraud, leading to financial losses, increased chargebacks, and regulatory compliance issues. Traditional fraud detection systems often struggle to identify complex fraud patterns and emerging threats in real-time, resulting in high false positive rates and hindering legitimate transactions.
Solution
RaptorX.ai offers an AI-powered fraud detection and risk intelligence platform that helps businesses predict, prevent, and stay ahead of evolving fraud and AML risks. The platform utilizes both unsupervised and supervised machine learning algorithms, along with advanced graph analysis, to uncover unknown fraud patterns, detect mule and victim accounts, and ensure automated compliance. By providing real-time monitoring, lifecycle risk assessment, and proactive payment screening, RaptorX.ai enables businesses to reduce financial losses, lower false positives, and streamline fraud case investigations. The platform's explainable AI also assists in dispute resolution and chargeback management.
Target Audience
RaptorX.ai primarily targets CISOs, fraud analysts, compliance teams, and business leaders in the financial services, e-commerce, and other industries that require robust fraud prevention and AML solutions.
Features
- Real-time transaction monitoring across various payment networks (AEPS, UPI, DMT, card networks)
- Advanced graph analysis to detect mule accounts, collusion networks, and layered money laundering schemes
- AI-driven anomaly detection to uncover hidden fraud patterns and emerging threats
- Continuous identity verification and lifecycle risk assessment based on behavior and transaction trends
- Automated STR generation, fraud case investigations, and compliance workflows
- Explainable AI for dispute resolution and chargeback management
- Customizable solutions to adapt to specific business requirements