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Illicit trade networks
have corporate structures.

Narcotics, dual-use goods, and sanctions evasion all rely on legitimate-looking corporate networks. Sayari’s world model maps ownership chains, trade flows, and financial relationships — turning trade manifest data into actionable enforcement targets.

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THE REGULATORY REALITY

42%

of major trade enforcement actions in 2024 involved entities with no prior sanctions or enforcement history. Reactive, list-based screening consistently fails to flag novel networks before they operate.

CBP/BIS Enforcement Data 2024 · Sayari Research

THE PROBLEM

Why trade enforcement misses novel networks

The structural gaps that point solutions can’t close.

Clean-company layering

Illicit actors register clean intermediary companies specifically to move controlled goods. These entities have no prior enforcement history, making list-based screening ineffective by design.

Ownership opacity at scale

A single enforcement target may control hundreds of nominally independent trading entities across a dozen jurisdictions. Investigators can’t manually map this network in time to interdict.

Data fragmentation

Trade manifest data, corporate registry records, and financial intelligence are held in separate systems. Without integration, analysts can’t see the full network picture.

THE SAYARI APPROACH

Corporate network intelligence for trade enforcement.

Sayari integrates corporate registry data from 250+ jurisdictions with global trade flow records — giving enforcement analysts the full ownership and shipment picture in a single interface.

Network-First Investigation

Start from any company, individual, or shipment and traverse ownership, co-directorship, and trade relationships to map the full network.

Trade Flow Pattern Analysis

Sayari Map highlights anomalous trade patterns — unusual commodity-country combinations, atypical routing, and volume spikes — linked to corporate ownership chains.

Cross-Jurisdiction Entity Matching

Resolve entities across naming conventions, scripts, and jurisdictions to identify the same beneficial owner operating across multiple registrations.

Bulk Screening for Enforcement Lists

Screen full cargo manifests or counterparty lists against Sayari’s integrated denial, sanctions, and enforcement databases in seconds.

shipment_analysis.log
> Shipment Intelligence Analysis
  manifest: “SHL-2024-09187 (HTS 8542.31)”
  declared_origin: Malaysia (MYS)
✓ 847 records matched · 12 trade routes
⚠ Transit time: below ML baseline (72h min)
> Transshipment Detection
  route: CN → MY → US (32-day interval)
✗ Exporter: BIS entity list match (CN)
✗ Country-of-origin discrepancy confirmed
enforcement.flag(manifest=”SHL-2024-09187″, typology=”transshipment”) → CBP

Sayari Graph — trade enforcement & transshipment detection

HOW IT WORKS

From data to decision

TARGET

Identify a company, individual, or shipment

Start from a known actor, an anomalous shipment, or a suspicious trade pattern identified by CBP or BIS.

EXPAND

Full network traversal

Sayari maps ownership chains, co-directors, affiliated entities, and trade relationships across 250+ jurisdictions.

REPORT

Export evidence for enforcement action

Full network visualization, source documents, and audit-ready entity reports exportable for referral or prosecution support.

450M+

Corporate entities in Sayari’s unified world model

Sayari’s world model integrates corporate registries, trade data, beneficial ownership filings, and sanctions databases into a single persistent entity graph — giving enforcement analysts access to relationships that no single source can provide.

Sayari Research · 2025

WHY SAYARI

Legacy tools vs Sayari

LEGACY TOOLS

List screening only — misses novel, unlisted networks specifically designed to evade designation

No trade flow linkage — can’t connect corporate ownership to shipment-level activity

Manual research time of days or weeks to map a single network

Jurisdiction silos — data sources don’t connect across registries

SAYARI

Network-first investigation — ownership traversal across 500M+ companies in 250+ jurisdictions

Trade-ownership linkage — Sayari Map connects manifest data to corporate ownership structures

Automated network mapping in minutes — not days of manual research

Unified world model — all jurisdictions normalized to a single entity resolution layer

CLIENT RESULTS

Measured outcomes from production deployments

SPEED

10×

Faster network mapping vs manual research across multiple database sources

SCALE

500M+

Corporate entities resolved in Sayari’s world model across 250+ jurisdictions

COVERAGE

3.8B+

Trade records linked to corporate ownership in Sayari Map

PRODUCTS FOR THIS USE CASE

Sayari products that power this workflow

Sayari Graph

Entity resolution and ownership graph for 500M+ companies across 250+ jurisdictions.

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Sayari Map

Trade-flow intelligence mapping shipment data to corporate ownership networks.

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Sayari Signal

Continuous monitoring that alerts on meaningful changes across your counterparty base.

Explore Sayari Signal →

FREQUENTLY ASKED QUESTIONS

Common questions about this use case

Sayari supports customs fraud investigation, duty evasion detection, import quota circumvention analysis, tariff classification enforcement, forced labor enforcement under UFLPA and related authorities, and export control violation investigation. Federal agencies use Sayari to build the evidentiary record needed for enforcement actions.

Sayari links shipment data to corporate ownership records across 250+ jurisdictions, identifying supply chains where goods are routed through third countries to obscure true country of origin — including detection of transshipment intermediaries with no apparent manufacturing capability.

Yes. Sayari offers API-based access, FedRAMP-Ready deployment options, and data licensing arrangements suitable for inter-agency sharing. Classified deployments are available for agencies with specific data residency and classification requirements.

Sayari integrates 4B+ trade transactions from import/export declarations, customs filings, and shipping manifests, linked to 500M+ corporate entity profiles. Coverage spans major trading nations and includes historical data enabling timeline analysis of supply chain relationships.

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