Finance is blind to geography.
Traditional financial data tells you what a company earns — not where its physical assets are located, or what physical events could impair those earnings. Without precise asset-level geolocation, every downstream risk analysis is built on sand.
Proprietary methodology. Proprietary dataset.
alphaX combines AI-driven extraction from regulatory filings, satellite imagery, and operational databases to build and continuously refresh a global map of corporate physical assets. This is the layer that incumbents physically cannot match.
Precise Geolocation
Every facility pinpointed to exact coordinates — not approximated to city or region level. Refineries, ports, mines, data centres, logistics hubs and more.
Asset Classification
Operational class assigned to every asset: critical, high, medium, low. Enabling rapid triage across thousands of facilities.
Continuous Refresh
The dataset is not static. Facilities open, close, expand, and change ownership. alphaX tracks these changes in near-real-time — incumbents cannot.
Revenue Linkage
Each asset is linked to the revenue it generates, enabling asset-level financial exposure quantification — not just physical presence mapping.
Supply Chain Mapping
First and second-tier supply chain dependencies are mapped alongside owned assets, revealing indirect exposure that balance sheets don't show.