Sayari is a corporate-network, ownership, and supply-chain risk platform. Space Sat Lab is not a corporate-network or compliance platform. It detects physical-world change, identifies which public companies may be affected, and measures how similar observations have historically resolved against market data.
Executive Summary
Sayari
Sayari builds intelligence from corporate registries, beneficial-ownership records, and global trade data , resolving entities and the relationships between them. It is widely used for compliance, sanctions and KYC screening, and supply-chain risk, answering questions about who owns or trades with whom.
Space Sat Lab
Space Sat Lab detects physical change at infrastructure zones using fused satellite imagery, translates it into structured signals with confidence scores, maps them to company exposures, and validates outcomes against market data , answering what is physically changing and what it means for specific securities.
Space Sat Lab is not a corporate-network, compliance, or supply-chain risk platform. Sayari maps the relational world , ownership, counterparties, and trade links between entities , for compliance, sanctions, and KYC. Space Sat Lab does something different: it maps the physical world, detecting what is changing at ports, plants, and infrastructure, identifying which public companies are exposed, and measuring how comparable observations have historically resolved. They draw on entirely different data and are complementary: one explains who is connected, the other detects what is physically happening on the ground.
Capability Comparison
A structured comparison of capabilities across Sayari and Space Sat Lab.
| Capability | Sayari | Space Sat Lab |
|---|---|---|
| Corporate ownership / entity resolution | Core | No |
| Beneficial-ownership networks | Core | No |
| Global trade / shipment records | Core | No |
| Sanctions / KYC / compliance screening | Core | No |
| Supply-chain relationship mapping | Core | Partial |
| SAR / optical / thermal satellite sensing | No | Core |
| Physical zone-level change detection | No | Core |
| Port activity intelligence | Partial | Core |
| Industrial zone monitoring | No | Yes |
| Energy infrastructure detection | No | Core |
| Semiconductor facility monitoring | No | Yes |
| Multi-signal satellite fusion | No | Yes |
| Early physical signal (1-8 week lead) | No | Core |
| Company exposure mapping | Partial | Yes |
| Counterparty / relationship intelligence | Core | No |
| Market outcome validation | No | Yes |
| Learning layer | No | Yes |
| Institutional decision terminal | Partial | Core |
Core Differences
Dimension
Sayari
Space Sat Lab
Domain of intelligence
Relational , ownership, counterparties, and trade links between entities
Physical , change at infrastructure observed from space
Primary data inputs
Corporate registries, beneficial-ownership filings, customs/trade records
SAR, optical, thermal infrared satellite imagery, plus AIS
Core question answered
Who owns, controls, or trades with whom
What is physically changing and what it means for securities
Primary use
Compliance, sanctions/KYC screening, supply-chain risk
Company-exposure mapping and macro research for institutional investors
Output framing
Entity graphs, ownership trees, risk flags
Structured change signals with confidence, momentum, and company exposure
Validation approach
Record accuracy and entity-resolution quality
Signal outcomes validated against market price movements over defined windows
Use Cases
Sayari is purpose-built for resolving entities and ownership networks , the right tool for compliance, KYC, and counterparty risk.
Space Sat Lab observes infrastructure activity directly via satellite , a different question from who owns or trades with an entity.
Sayari’s strength is the relational graph , linking suppliers, owners, and counterparties from records data.
Space Sat Lab maps observed physical change to company exposures and validates outcomes against markets, for investment research.
The two are complementary: Sayari can establish that a facility belongs to a given company and its network, while Space Sat Lab detects whether activity at that facility is physically changing.
System Architecture
Space Sat Lab operates a seven-stage intelligence pipeline from raw satellite observation to validated market intelligence. Each stage increases precision. Each completed cycle improves the next.
Satellite Data
Change Detection
Signal Assembly
Multi-Signal Fusion
Company Exposure
Market Validation
Learning
Satellite Data → Change Detection → Signal Assembly → Multi-Signal Fusion → Company Exposure → Market Validation → Learning
SAR + optical + thermal + nightlights satellite imagery fused with AIS and macro signals. 165 zones across ports, chokepoints, industrial, energy, and semiconductor infrastructure. Outcomes validated across 7, 14, and 30-day windows.
Institutional Applications
Macro and fundamental hedge funds
Use physical-change signals for positioning, optionally combined with corporate-network data to confirm which entities are affected.
Supply-chain and risk research
Pair relational supply-chain mapping with direct physical observation of the facilities and corridors involved.
Due-diligence and compliance-adjacent research
Add a physical-activity layer , is the site actually operating and changing , on top of ownership and trade-record intelligence.
Multi-asset portfolio managers
Access structured, validated signals with company-exposure mapping across energy, industrial, maritime, and semiconductor sectors.
Frequently Asked Questions
Not really. Sayari is a corporate-network, ownership, and supply-chain risk platform; Space Sat Lab is not a corporate-network or compliance platform. They address different questions: Sayari maps relationships between entities (ownership, counterparties, trade) from records data, while Space Sat Lab detects physical change at infrastructure from satellite observation, maps the exposed public companies, and validates outcomes. One explains who is connected, the other detects what is physically happening.
No. Space Sat Lab does not resolve corporate ownership or ingest trade/customs records. Its inputs are satellite-observed physical signals, which it converts into structured investment signals mapped to company exposures.
Yes. A common pattern is to use corporate-network intelligence to establish which company and supply chain a facility belongs to, and Space Sat Lab to detect whether activity at that facility is physically changing , combining relational context with physical observation.
Each signal creates a prediction snapshot, and outcomes are measured across seven, fourteen, and thirty day windows. Confirmation, contradiction, and persistence are tracked across historical signals to recalibrate confidence over time.
Related Reading
Context on the intelligence categories relevant to this comparison.
taxonomy
→What is Institutional Intelligence?
The category Space Sat Lab owns , physical change translated into company exposure and validated against outcomes.
taxonomy
→What is Real-World Intelligence?
Observing the physical economy directly and converting it into institutional decision support.
ranking
↗Best Alternative Data Platforms
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