MuleHunter is an intelligent fraud detection and visual analytics platform designed to identify mule accounts, collusive transaction rings, and anomalous financial behavior in large-scale payment ecosystems like UPI.
By combining graph analytics, machine learning, and explainable AI, MuleHunter empowers investigators to detect, analyze, and act on financial crime with speed and confidence.
Live Fraud Activity
Node #1024
Risk: HIGH
₹68,000
Node #1871
Risk: MEDIUM
₹41,500
Node #449
Risk: LOW
₹2,300
Risk Signals
Detected Indicators
🔺 High Velocity Transfers
🔺 Multiple Inbound Sources
🔺 Circular Transaction Pattern
Explain Why This Is Fraud
Supported Networks
Core Capabilities
MuleHunter provides a unified intelligence layer for detecting, analyzing, and explaining financial fraud networks at scale.
Graph-Based Fraud Detection
Detect mule rings and collusive behavior using transaction graph analysis
Identify hidden communities and circular money flows
Anomaly & Risk Scoring
Machine learning models flag high-risk nodes and transactions
Velocity, volume, and behavioral deviation analysis
Explainable AI (XAI)
SHAP-powered feature attribution
Human-readable AI explanations for investigators and auditors
Use Cases
MuleHunter is built for investigators and institutions to uncover mule networks, explain risk, and act on financial fraud with confidence.
Mule Identification
Ring Detection
Anomaly Detection
Explainable Decisions
For Financial Institutions
Banks and FinTechs leverage MuleHunter to reduce fraud losses and regulatory risk.
78%
Faster detection
63%
Less False Positives
91%
Confidence
For Operational Benefits
payment Platforms leverage MuleHunter to automate manual review workloads.