Anti-Money Laundering & Financial Crime Compliance Solution
Catch the financial crime
network. Not just
the transaction.
Money laundering runs through corporate structures, trade flows, and beneficial ownership chains – not just suspicious wire amounts. Sayari surfaces the network behind the transaction, so your analysts investigate exposure rather than process alerts.
The red flags buried in ownership and trade data.
Transaction monitoring catches anomalous payments. Sayari catches the structural conditions that make laundering possible – the shell companies, the PEP connections, the high-risk jurisdiction routing.
Shell company structures
Multi-layer holding companies with no apparent operational purpose – particularly in offshore jurisdictions with opaque registries.
High-risk jurisdiction routing
Ownership chains that route through FATF high-risk or non-cooperative jurisdictions, identified at every hop in the traversal.
PEP ownership and control
Politically Exposed Persons holding beneficial ownership – even when ownership is held indirectly through family members or nominees.
Trade-based laundering indicators
Anomalous trade flows – over/under-invoicing, unusual commodity combinations, mismatched counterparty profiles – surfaced through Sayari’s 4B+ trade transactions.
Circular ownership patterns
Entities that own each other – a classic obfuscation technique – automatically detected during beneficial ownership traversal.
Adverse media and prior enforcement
Prior AML actions, financial crime allegations, and regulatory actions surfaced from global news and enforcement databases.
Built for the laundering methods regulators are prioritizing.
Trade-Based Money Laundering
Sayari’s 4B+ trade transactions – bills of lading, import/export filings, shipping manifests – enable TBML detection at a scale no other open-source platform matches.
Layering Through Corporate Structures
Automated traversal through 3B+ ownership links surfaces the full beneficial ownership chain – including structures specifically designed to obscure the origin of funds.
Real Estate Money Laundering
Cross-reference property holdings, shell company ownership, and PEP connections to identify real estate laundering patterns flagged in FinCEN advisories.
Nested Account and Payable-Through Risks
Screen the full ownership and operational profile of correspondent relationships – not just the bank’s legal name – to identify nested account and payable-through risks.
Common questions about AML intelligence
Money laundering relies on structural complexity – shell companies, layered ownership, and nominee directors designed to obscure the flow of funds. Network mapping reveals these structures by tracing corporate relationships, beneficial ownership chains, and trade flows across jurisdictions, exposing patterns that transaction monitoring alone cannot detect.
Trade-based money laundering (TBML) exploits mismatches between the stated parties in a transaction and the actual beneficial owners behind them. By resolving beneficial ownership across multiple corporate layers, Sayari identifies when trade flows involve parties connected to sanctioned entities, PEPs, or known money laundering typologies – even when the direct counterparty appears clean.
SAR narratives require specific, source-documented evidence – not risk scores. Sayari provides the underlying corporate records, ownership chains, trade data, and relationship maps that investigators need to build defensible SAR narratives. Every finding traces to a primary source, giving compliance teams audit-grade documentation for FinCEN and other FIU submissions.
Yes. Sayari’s entity resolution maps corporate structures through multiple degrees of ownership and control – identifying nominee directors, shared registered agents, circular ownership patterns, and other structural indicators commonly associated with layered shell company networks. The system resolves these structures across 250+ jurisdictions using primary-source registry data.
Traditional name-matching generates high false positive rates because it cannot distinguish between entities with similar names. Sayari resolves entities using hard identifiers – registration numbers, tax IDs, addresses, and corporate relationships – reducing false positive rates significantly while maintaining comprehensive coverage. Analysts spend their time investigating genuine risk rather than clearing name collisions.
beneficial ownership traversal
vs. name-string AML screening
detection and analysis
See what’s behind your highest-risk alerts.
Request a demo. We’ll run Sayari’s AML analysis against your actual counterparties and show what the network behind them looks like.