THE DATA FOUNDATION
More than data. A decade of judgment built into the structure.
Every data company claims comprehensive coverage. But coverage without judgment produces noise – and in economic security, noise is dangerous. Sayari didn’t start with data and hire analysts to interpret it. We started with analysts working real missions and built the infrastructure around how they actually reason.
11.7B+
Source Records
Collected, parsed, and resolved
500M+
Unique Companies
High-precision primary legal entities
600M+
Unique Individuals
Verified persons, global commercial footprint
3B+
Entity Relationships
Ownership, control, and trade connections
4B
Trade Records
Shipment and procurement transactions
200+
Jurisdictions
Including OFCs and high-risk markets
700+
Authoritative Sources
Govt registries, customs, tax authorities
86%
Supply Chains Mapped
To 4+ supplier tiers automatically
WHY A “WORLD MODEL” – NOT JUST A DATABASE
The tradecraft built the data. The data shaped the tradecraft.
Most data companies follow a predictable playbook: aggregate records from third parties, clean them up, and sell access. The data sits in one silo. The expertise – if it exists – sits in another. When AI enters the picture, it gets bolted on through prompts and context windows that degrade with scale.
Sayari took a fundamentally different path. Over the past decade, three assets grew together – and that co-development is the moat.
The Commercial World Model
11.7B+ longitudinal corporate and trade records from non-indexed, often ephemeral sources – including records removed by adversaries that are now exclusively preserved in Sayari’s archive. Full global coverage including China, Russia, offshore jurisdictions, and emerging economies. Every data point traceable to its source document.
Domain Knowledge Encoded in Data
650K+ lines of entity resolution code. 67K+ analyst-labeled decisions. 1K+ analytical reports. 300+ hours of recorded analyst walkthroughs. 565 proprietary parsers. This is a record of not just what experts concluded, but why – over more than a decade of real-world economic security analysis.
The Evaluation Framework
Domain-specific benchmarks that define what rigorous reasoning looks like for economic security – not just correct answers, but correct reasoning. A benchmark for identifying state-linked structures tests whether the model can distinguish a firm operating normally from one serving as a procurement vehicle based on signals designed to obscure exactly that.
“The commercial world model and the tradecraft produced each other: the expertise was honed on this specific data, and this data was shaped by the expertise. Neither can be acquired independently because they grew together over a decade.”
THE FIVE STRUCTURAL ADVANTAGES
What makes Sayari’s data foundation irreplicable.
Most data companies follow a predictable playbook: aggregate records from third parties, clean them up, and sell access. The data sits in one silo. The expertise – if it exists – sits in another. When AI enters the picture, it gets bolted on through prompts and context windows that degrade with scale.
Sayari took a fundamentally different path. Over the past decade, three assets grew together – and that co-development is the moat.
Primary-Source Collection
Not through vendors. Not scraped. Not self-attested.
01
Sayari is the only corporate intelligence data provider that exclusively collects from official, public government sources – and provides the original source documents as evidence. We maintain 565 proprietary source-specific parsers that extract structured data from corporate registries, commercial gazettes, tax authorities, litigation databases, and customs agencies – including unstructured content from higher-risk countries that legacy providers don’t cover.
The U.S. Army TACOM displaced a competitor specifically because that competitor could not provide original source documentation for leadership briefings. Sayari’s glass-box approach was the deciding factor.
565 proprietary parsers
Sanctions updates <4 hours
No third-party licensing
Original source documents per record
Entity Resolution at Scale
From billions of records to one real-world entity.
02
A multi-stage, conservative-by-design pipeline that connects records across jurisdictions, languages, and identifier systems into unified entity profiles. Domain expertise is embedded in the resolution rules, not bolted on afterward – written by analysts who understand why a “control party” means something different in Luxembourg than in Hong Kong.
AI-powered entity resolution rolling out in 2026 – reinforcement learning to resolve the sparsest and messiest datasets against our high-quality master data.
PRIMARY RESOLUTION
Deduplicates exact records, links high-value records by core identity attributes
SECONDARY RESOLUTION
Cross-source linking on strong identifiers, country-specific normalizers
TERTIARY RESOLUTION
Advanced fuzzy matching using locality-sensitive hashing and address similarity
PSA FLAGS
“Possibly Same As” – surfaces probable connections while preserving precision
Supply Chain Intelligence & Product Blueprints
See who is actually trading with whom – not who claims to be.
03
4B+ trade transactions – bills of lading, customs declarations, cargo manifests from 85+ authoritative trade data sources across 75+ reporting countries – integrated into the same entity graph as corporate ownership. A sanctioned entity’s trade counterparties surface automatically alongside its ownership chain, revealing exposure that appears clean in either data source alone.
Microsoft’s Cloud Supply Chain team chose Sayari over Altana in a head-to-head evaluation for UFLPA compliance, internally describing Sayari as “evidence-based” – protecting an $85B data center construction program.
PRODUCT BLUEPRINTS
Proprietary bills of materials that break finished goods into constituent components mapped to HS codes – delivering a product-specific supply chain picture that filters irrelevant trade relationships. Unlike competitors offering “predictive” supply chains, every relationship traces to actual customs data.
Depth in Hard-Target Jurisdictions
The jurisdictions that matter most are the ones hardest to cover.
04
Sanctions evaders, weapons proliferators, and state-linked actors don’t operate through well-documented Western European registries. They operate through offshore financial centers, opaque jurisdictions, and permissive markets – exactly where legacy data providers have the thinnest coverage.
Machine translation across 14 languages. Transliteration support for 13 non-Latin scripts. A 2024 Fortune 500 POC found 3.4× more beneficial ownership relationships with Sayari versus direct registry lookups.
China
Han characters as strong identifiers. Deep SOE hierarchies and military-civil fusion networks.
Russia
Comprehensive historical filings, including records removed by adversaries exclusively preserved in Sayari’s archive.
Iran, Venezuela, DPRK
Coverage in jurisdictions systematically absent from standard commercial databases.
25+ Offshore Financial Centers
Cayman, BVI, Bermuda, Hong Kong, Luxembourg, UAE, Panama, and more.
The Connected Knowledge Graph
Data alone doesn’t solve problems. Connected data does.
05
The critical differentiator is not that Sayari has data – it’s that Sayari’s data is pre-connected into a single traversable knowledge graph. Competitors who have volume often have disconnected data, or data that can only be connected manually by analysts at a much smaller scale.
65M Beneficial Ownership
Unmatched clarity into ultimate control
400M Shareholder Relationships
Capital and equity flows across global entities
350M Officer / Director Data
Key decision-makers and legal signatories
4B Trade Relationships
Shipment-level import/export, cargo manifests
THE DATA LIFECYCLE
From raw government records to actionable intelligence.
COLLECT
700+ authoritative government sources. 565 proprietary parsers extract structured data from unstructured documents in original language – not scraped, not rented, not self-attested.
RESOLVE
Multi-stage entity resolution connects records across jurisdictions, languages, and identifier systems. Domain expertise embedded in the rules, not bolted on afterward. 11.7B+ records → 500M+ companies + 600M+ individuals.
ENRICH
Machine translation across 14 languages. Transliteration for 13 non-Latin scripts. Address geocoding (80% of 900M+ addresses). Risk signal computation across sanctions, PEPs, adverse media, and network propagation.
CONNECT
3B+ pre-computed relationships link entities across ownership, trade, directorship, and control structures. Beneficial ownership chains traced to 10+ degrees. Product-specific supply chains mapped to Tier 5+.
DELIVER
Biweekly full graph rebuilds. Nightly watchlist builds. OFAC, EU, UN, and OFSI sanctions updates within 4 hours of publication. Every build includes new sources, re-computed entity resolution, and improved enrichment.
DATA PROVENANCE & TRANSPARENCY
Glass box, not black box.
Every data point in the knowledge graph traces to its underlying primary source document. Every relationship cites the registry filing, customs record, sanctions listing, or regulatory disclosure that establishes the connection. Every supply chain in Sayari Map is powered by real, historical shipment records – not AI-generated predictions.
For government
Analysts briefing leadership or preparing packages for Congress must cite the original source. Data provenance is the decisive advantage.
For enterprise compliance
When regulators ask “how did you make this decision,” you need a documented evidence trail – not a confidence score from an opaque model.
For supply chain teams
When CBP detains a shipment, a probability isn’t defensible. You need the actual trade record, the actual corporate ownership, the actual connection to the flagged entity.
Sayari
- Primary-source government registries
- Original source documents per record
- Deterministic resolution on hard identifiers
- Trade-data supply chains from real customs records
- Audit-grade evidence chain, exportable per alert
Legacy Providers
- Self-attested or third-party-sourced data
- Data provenance obscured or unavailable
- Probabilistic matching with confidence scores
- Inferred or survey-based “predictive” supply chains
- Alert-only output, no evidence chain
WHAT COMPETITORS CAN’T REPLICATE
Three reasons the data foundation can’t be assembled from parts.
The data doesn’t exist anywhere else
Sayari’s archive includes records from non-indexed and ephemeral sources – corporate filings, trade documents, and ownership records that adversaries have since removed from public access. This data is exclusively preserved in Sayari’s world model. Web scraping captures current state – not the historical record that reveals how adversarial networks were built.
Domain expertise is embedded, not injected
650K+ lines of entity resolution code. 67K+ analyst-labeled decisions. 565 proprietary parsers. 1K+ investigative reports. This took a decade of real-world economic security work to produce. It can’t be loaded into a prompt, purchased from a vendor, or replicated by a model trained on general internet data. Research shows model performance degrades 14-85% as context length grows, even with perfect retrieval.
The data and expertise developed together
Businesses that never had to learn to refine messy real-world data – by instead licensing clean content from elsewhere – never developed expertise in the messiness that defines the real world. Sayari’s entity resolution rules were written by analysts who understand the data. The parsers by engineers who know which fields matter for which missions. These assets compound. The moat widens every quarter.
RESULTS
Data quality measured by outcomes, not volume.
72%
False Positive Reduction
Alert volume reduction at a top-10 global bank after deploying Sayari entity resolution pre-screening.
3.4×
Ownership Depth
More true-positive beneficial ownership relationships vs direct name matching, Fortune 500 POC against 10,000 entities.
96%
Risk Discovery Rate
Of Sayari-detected risk absent from global watchlists – hidden within nested ownership, trade, and undisclosed relationships.
86%
Supply Chain Depth
Of global supply chains mapped to 4+ supplier tiers automatically.
<2s
API Response
Median response time for full entity resolution including ownership traversal.
Trusted by
15+ U.S. government agencies including OFAC, IRS CI, CBP, DOD
>25% of the top 35 global banks
Fortune 1000 companies across financial services, energy, tech
Microsoft, ExxonMobil for UFLPA compliance
SOC 2 Type II
ACCESS THE DATA FOUNDATION
Three ways to put the data foundation to work.
Visual investigation
Traverse ownership chains, map N-tier supplier networks with product blueprints, and export evidence packages with source citations per relationship.
Best for:
Investigators, analysts, supply chain teams, FIU teams
Screening & monitoring
API-native entity resolution and continuous monitoring. Batch screening, webhook-based monitoring, and ERP integration (SAP GTS and others).
Best for:
Compliance teams, developers, TPRM programs
Enterprise & data lake
Global data file via S3 (CSV, Parquet, or JSON). Entity and relationship files with indexed attributes. Quarterly refreshes with schema mapping support.
Best for:
Data science teams, enterprise data lakes, classified environments
SEE THE DATA ON YOUR PROBLEM
Bring a real entity. We’ll show you what the world model finds.
The most useful evaluation is running the Commercial World Model against an entity from your actual universe – a counterparty you’re uncertain about, a supplier you need to trace upstream, or a target you’ve already spent time on.
Resources & Insights