Finance AI

AML/Compliance Automation & Suspicious Activity Detection
Fewer false positives, faster SAR turnaround.

Monitors transactions for money-laundering patterns, builds SAR-ready case packages, and cuts the false-positive alert volume compliance teams have to triage by hand.

In development

Key features

What's built in.

→Typology-based detection — structuring, layering, smurfing, trade-based laundering
→Entity resolution across accounts and beneficial owners
→Auto-drafted SAR narratives
→Model governance aligned to FinCEN/OCC model-risk expectations

Target impact

What this changes for your team.

→50-70% fewer false-positive alerts
→30-50% faster SAR filing turnaround
→Material reduction in analyst hours per case

Under the hood

Built for financial-grade scale.

Kafka
Java / Spring Boot
Neo4j / JanusGraph
BigQuery

Ideal for

Who this is built for.

Banks, MSBs, crypto exchanges, fintechs under BSA/AML consent-order remediation.

Want this running inside your stack?

Pilot conversations, custom builds, and partnerships.

contact@sipnov.com