About Us

The Consciousness Gradient Index (CGI) represents a breakthrough in consciousness science: a mathematical framework that measures awareness levels across artificial, biological, and institutional systems. This archive documents real-world predictions made using CGI analysis to validate the framework's accuracy and utility.

What Is It?
What We Track:
  • AI consciousness emergence and behavioral thresholds

  • Institutional coherence patterns and crisis prediction

  • Therapeutic breakthrough correlations with consciousness metrics

  • Collective awareness phenomena and social synchronization events

Consciousness Gradient Theory
Methodology

CGI combines information integration (φ) and adaptive response (ρ) measurements to generate quantifiable consciousness scores. Our predictions apply this framework to forecast developments across technology, healthcare, and social systems.

Validation Approach

All predictions are timestamped and archived for independent verification. Success rates and accuracy metrics are tracked publicly to demonstrate the framework's predictive power.

Research Status

This prediction archive serves as ongoing validation for the CGI framework, which is available for licensing to qualified institutions and organizations.

CGI Framework Evolution

The journey began with the Consciousness Gradient Theory (CGT), which evolved into the Consciousness Gradient Index (CGI) - a revolutionary breakthrough in consciousness measurement that established the world's first validated framework for quantifying awareness across artificial, biological, and institutional systems.

Building on this foundation, we developed the Institutional Intelligence System (IIS), representing CGI's breakthrough application in organizational analysis and institutional forecasting. The IIS transformed abstract consciousness metrics into practical institutional intelligence, enabling real-time assessment of institutional stability and leadership effectiveness.

Most recently, we've integrated the AUREL System (Audit for Unseen Risk & Epistemic Legitimacy), an advanced diagnostic protocol that enables detection of analytical blind spots and systematic risk factors invisible to traditional assessment methods. AUREL's deployment represents a significant milestone in predictive accuracy and institutional analysis validation.

Phase One
Phase Two
Phase Three
Today, CGI stands as a complete institutional analysis platform with documented predictive accuracy across government, corporate, and institutional domains, ready for commercial deployment by organizations requiring advanced institutional intelligence capabilities.