An open-source ecosystem of fraud intelligence, investigation tooling, device risk, regulatory mapping, and explainable decision engines — designed to work together as a cohesive platform.
Context before the details.
Currently Building
Grouped by purpose so the ecosystem is easy to navigate.
A synthetic mule network investigated end-to-end on the platform.
1,247 transactions · 12 entities · 3 fraud rings · Overall risk 95/100 · Model confidence 87%
Multi-ring detection with entity relationship graph, AI recommendation on Ring #2, risk factor breakdown, and investigator workspace for accept / override decisions.
Interactive previews of the core modules. Click through to explore.
How the modules connect as a single ecosystem.
The philosophy behind every module.
Technologies used across the platform.
What is shipped and what is next.
Independent research in fraud intelligence.
The person behind the platform.
Fraud Intelligence Specialist and Risk Systems Researcher based in Bengaluru. Building open-source tools for explainable decisioning, investigations, and device risk.