What Is GMIIE?
The Global Monetary Infrastructure Intelligence Engine is a macro-situational awareness platform that monitors, analyzes, and scores structural changes across the world's financial plumbing — central bank digital currencies, settlement networks, cross-border payment corridors, and the regulatory frameworks shaping them.
Instead of tracking individual asset prices, GMIIE focuses on the infrastructure layer: the rails, protocols, and policy decisions that determine how money moves between institutions, jurisdictions, and citizens. When these structures shift, the implications cascade across every financial market.
🌍 Why It Matters
Monetary Systems Are Fragmenting
Over 130 countries are exploring or deploying digital currencies. Meanwhile, alternative settlement corridors (mBridge, CIPS) are reducing reliance on SWIFT. This fragmentation creates both risk and opportunity that traditional market analysis misses.
Policy Signals Precede Market Moves
Central bank speeches, regulatory filings, and deployment milestones often signal structural shifts 6-18 months before they reach market prices. GMIIE captures these signals systematically across 14 jurisdictions.
Complexity Demands Synthesis
No single analyst can track CBDC deployments in China, stablecoin regulation in the EU, settlement network fragility, and geopolitical fracture lines simultaneously. GMIIE's 5-ring architecture integrates these domains into a unified analytical framework.
🏛️ The 5-Ring Analysis Architecture
GMIIE organizes its analysis into five concentric rings, from hard quantitative data at the core to geopolitical context at the perimeter. Each ring answers a distinct question:
Ring 1 — Structural Signals
What do the numbers say?Tracks hard financial data — interest rates, stablecoin market caps, FX volatility, settlement volumes, and reserve ratios. These are objective, measurable data points that form the quantitative foundation for all other analysis. A sudden spike in rate differentials or stablecoin supply often signals stress before it appears in headlines.
Examples: Fed Funds rate changes, SWIFT gpi volume, e-CNY daily transactions, USDC market cap
Ring 2 — Language Drift
What are policymakers really signaling?Uses natural language processing to track how central bankers and regulators describe digital currency initiatives over time. Subtle word changes — like shifting from 'exploring CBDCs' to 'preparing for digital currency infrastructure' — often telegraph policy shifts months before official announcements. The engine also detects coordinated language shifts across multiple jurisdictions.
Examples: 'programmable money' → 'purpose-bound money' adoption across SG/EU/UK within 14 days
Ring 3 — Deployment Tracking
What's actually being built?Monitors real-world CBDC and digital infrastructure deployments through their lifecycle stages: concept → pilot → prototype → live testing → production. Each initiative is scored for deployment probability and rhetoric-reality gap — the distance between what officials say and what's actually being built. This ring grounds the analysis in observable progress.
Examples: e-CNY at production stage with 620M wallets vs. US Digital Dollar stalled at concept for 22 months
Ring 4 — Fragility Mapping
Where are the structural weak points?Maps the global financial infrastructure as a network graph and identifies single points of failure (SPOFs), concentration risk, and cascade potential. If one settlement network handles 89% of cross-border FX settlement (like CLS Bank), its failure would cascade through the system. This ring quantifies that risk using graph-theoretic metrics.
Examples: SWIFT: SPOF score 0.92, cascade impact 0.91 — highest fragility entity in the global financial network
Ring 5 — Fracture Detection
Where is the global financial system splitting apart?Tracks geopolitical events that fragment the global monetary system into competing blocs. Sanctions, alternative payment corridors, bilateral CBDC agreements, and regional clearing blocs all create fracture lines. A rising fracture score indicates the system is moving away from a single integrated network toward multiple incompatible networks.
Examples: CIPS processing $8.7T annually (34% of ASEAN trade now non-SWIFT), BRICS Pay corridor bypassing USD
🎯 The NIG Score (Narrative-Infrastructure Gap)
The NIG score is GMIIE's signature composite metric. It measures the gap between what policymakers say about digital currency (Ring 2 — narrative acceleration) and what's actually being built (Ring 3 — deployment reality). A high positive NIG means rhetoric is outpacing deployment (potential "policy theater"); a high negative NIG means deployment is outpacing communication (potential "silent rollout").
📖 How To Navigate This Platform
Dashboard
Start here. See aggregate event counts, infrastructure layer distribution, risk acceleration, and regulatory momentum at a glance.
Events & Timeline
Browse individual intelligence events — CBDC launches, regulatory filings, speeches, pilot expansions — with full detail and confidence scores.
Ring Pages (Signals → Fractures)
Deep-dive into each analytical ring. Every ring page shows the raw data, computed scores, and jurisdiction-level breakdowns that feed the composite analysis.
NIG Score
The system's key synthesis — compares rhetoric acceleration against deployment reality for each jurisdiction. Identifies policy theater and silent rollouts.
Scenarios & Predictions
Forward-looking analysis. Scenario engine models cascade chains (e.g., 'What if SWIFT goes down for 72 hours?'). Predictions track probability-weighted forecasts.
Calibration & Governance
Transparency layer. See how confidence scores are computed, cross-ring conflicts detected, analyst reviews applied, and historical backtests validated. This is where the system proves its own reliability.
⚙️ Technical Foundation
GMIIE is built on a modern, production-grade architecture designed for real-time intelligence processing: