We employ a robust data collection system that ingests information into specialized spreadsheets—each containing approximately 150 carefully curated data points. This granular approach creates a comprehensive view across critical domains:

• Infrastructure intelligence covering real estate acquisitions, energy grid developments, and cooling technologies

• Supply chain mapping revealing movement patterns and emerging bottlenecks

• Market formation analysis identifying stealth projects before public announcements

Our system aggregates over 1,000 precise data inputs, creating the foundation for sophisticated signal extraction.

The core of our methodology is an AI-driven SIGINT analysis pipeline that:

• Processes raw data through multiple specialized analyzer functions

• Generates more than 100 distinct signals from the underlying data

• Features a scalable architecture that easily incorporates new analyzer functions as innovative signal types emerge

Every insight undergoes a meticulous validation process:

• Multi-source cross-validation ensures reliability by confirming each signal against multiple independent sources

• LLM-driven synthesis leverages state-of-the-art natural language processing in an iterative framework

• Dynamic confidence scoring provides transparency by annotating each signal with detailed strength metrics and evidentiary support

The final output transforms complex data into clear, actionable intelligence:

• Reveals hidden projects and forecasts emerging trends well ahead of public announcements

• Maps interdependencies across diverse domains—from infrastructure to supply chains

• Delivers detailed confidence annotations with each insight

• Provides clear strategic implications and recommendations tailored for decisive action