Explainable intelligence for real‑time decisions
ABC fuses data, models, and investigator workflows so financial institutions can detect suspicious activity earlier, reduce false positives, and accelerate investigations—without sacrificing auditability or sovereignty.
Platform overview
A modular platform: deploy what you need today, then expand as your program matures.
Secure data ingestion
Connect core banking, payment switches, registries, and intelligence feeds using governed connectors and APIs.
Hybrid risk engine
Combine scenario rules + ML + graph signals with explainable features and investigator feedback loops.
Entity resolution
Unify identities and entities across names, identifiers, devices, addresses, accounts, and merchants.
Graph analytics
Expose hidden relationships and clusters—mule rings, fraud farms, and related‑party routing.
Investigator workflows
Alert triage, SLAs, evidence bundles, and auditable case histories built for regulators.
Continuous improvement
Outcome feedback improves models, reduces false positives, and keeps typologies current.
Explainable AI (human-in-the-loop)
- Transparent features: why an alert triggered and what evidence supports it
- Threshold controls to match your risk appetite
- Feedback loops from investigator outcomes
Licensed DigiDoe patented technology
- Patented multi-factor biometrics-based authentication components (where applicable)
- Payments-native, real-time fraud and AML controls
- Government-grade workflow foundations adapted for Uzbekistan