Pioneering Consciousness Research
At CGT Group Ltd, we measure consciousness in various systems - brains, AI, and organizations - through a unified framework under continuous validation.
Institutional Collapse Predictor (ICP) Is Now Live
Real-time risk analysis for public companies using multi-source data and time-decay scoring.
One Formula, Three Domains
CGT frameworks validated across consciousness measurement (neural systems), weather forecasting (atmospheric systems), and institutional stability (organizational systems)
- Neural systems: Neural systems: 100% directional accuracy, d > 1.3, validated across 160+ subjects (Zenodo + bioRxiv)
- Atmospheric systems: 46% improvement in forecast error detection (1,014+ observations, submitted to Weather and Forecasting)
- Organizational systems: 100% accuracy — 10 retrospective cases + 2 prospective predictions (NVIDIA stability, Saks Global collapse)
Why DMT Makes You Leave Your Body – But Not Find God
Insights from independent EEG analysis on psychedelic phenomenology
CGI v4.1: Robust Cortical Consciousness Gradient Validated at Scale
Initial breakthrough (Sleep-EDF, 12 subjects): Perfect ordering with consumer-grade 2-channel EEG. Large-scale clinical replication (HMC, 148 subjects): Confirms strong wake-NREM gradient (d > 1.3), revealing REM's subcortically-driven consciousness—cortical integration sufficient but not necessary.
December 2025: Rally or Fade - Two Distinct Consciousness Responses
New research reveals that 59% of people rally (increase neural coordination) under prolonged cognitive load, but this splits into two opposite states: Adaptive Rally (performance improves) and Drowsy Rally (performance collapses by 600ms). Alpha power distinguishes them with 89% accuracy.
Have we just solved the
heterogeneity problem?
New research validates Consciousness Gradient Theory at macro-scale with 76% detection rate and reveals two distinct consciousness responses to sustained cognitive load - "Rally or Fade" - cleanly separated by alpha power.
Join Us in Pioneering Research
We welcome collaboration with academic institutions, research organizations, and industry partners interested in consciousness measurement methodologies. Opportunities include joint research projects, data sharing, peer review, and collaborative publication.