GMIIE
Global Monetary Infrastructure Intelligence Engine — macro-situational awareness platform that monitors, analyzes, and scores structural changes across the world's financial plumbing. CBDCs, settlement networks, payment corridors, and regulatory frameworks.
26
Analysis Modules
5
Concentric Rings
14
Jurisdictions
12
Impact Formulas
20+
API Endpoints
18
Celery Tasks
6
Data Scrapers
4h
Update Cycle
Why GMIIE Exists
Monetary Systems Are Fragmenting
Over 130 countries exploring or deploying digital currencies. Alternative settlement corridors (mBridge, CIPS) reducing SWIFT reliance. Fragmentation creates risk and opportunity traditional analysis misses.
Policy Signals Precede Markets
Central bank speeches, regulatory filings, and deployment milestones signal structural shifts 6-18 months before 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 EU, settlement network fragility, and geopolitical fracture lines simultaneously. The 5-ring architecture integrates all domains.
5-Ring Analysis Architecture
Analysis organized into five concentric rings, from hard quantitative data at the core to geopolitical context at the perimeter. Each ring answers a distinct question:
Structural Signals
What do the numbers say?Tracks hard financial data — interest rates, stablecoin market caps, FX volatility, settlement volumes, and reserve ratios. Objective, measurable data points that form the quantitative foundation. 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
Language Drift
What are policymakers really signaling?NLP tracking of how central bankers and regulators describe digital currency initiatives over time. Subtle word changes — 'exploring CBDCs' → 'preparing for digital currency infrastructure' — telegraph policy shifts months before official announcements. Detects coordinated language shifts across jurisdictions.
Examples
'programmable money' → 'purpose-bound money' adoption across SG/EU/UK within 14 days
Deployment Tracking
What's actually being built?Monitors real-world CBDC and digital infrastructure deployments through lifecycle stages: concept → pilot → prototype → live testing → production. Each initiative scored for deployment probability and rhetoric-reality gap.
Examples
e-CNY at production stage with 620M wallets vs. US Digital Dollar stalled at concept for 22 months
Fragility Mapping
Where are the structural weak points?Maps global financial infrastructure as a network graph. Identifies single points of failure (SPOFs), concentration risk, and cascade potential using graph-theoretic metrics. If one settlement network handles 89% of cross-border FX settlement, its failure cascades through the system.
Examples
SWIFT: SPOF score 0.92, cascade impact 0.91 — highest fragility entity in the global financial network
Fracture Detection
Where is the global financial system splitting?Tracks geopolitical events that fragment the global monetary system into competing blocs. Sanctions, alternative payment corridors, bilateral CBDC agreements, and regional clearing blocs create fracture lines. Rising fracture score = system moving toward multiple incompatible networks.
Examples
CIPS processing $8.7T annually (34% of ASEAN trade now non-SWIFT), BRICS Pay bypassing USD
NIG Score — Narrative-Infrastructure Gap
GMIIE's signature composite metric. Measures the gap between what policymakers say about digital currency (Ring 2 — narrative acceleration) and what's actually being built (Ring 3 — deployment reality).
+0.38
United States
Heavy rhetoric, minimal deployment
-0.52
China
Deployment far exceeds rhetoric
+0.41
European Union
Balanced but rhetoric-forward
High positive NIG: Rhetoric outpacing deployment — potential "policy theater." High negative NIG: Deployment outpacing communication — potential "silent rollout."
Infrastructure Relationship Graph
Neo4j-backed graph of institutions, payment rails, and policy dependencies. Entities mapped with relationship types:
Institutions
SWIFT, Fedwire, TARGET2, CIPS, CHIPS, CLS Bank, SIX SDX
Central Banks
Federal Reserve, ECB, PBOC, Bank of England, Bank of Japan, MAS
Payment Rails
mBridge
Token Systems
USDC, USDT, e-CNY
Relationship types: operates, dependency, interoperability, settlement
Platform Modules
Dashboard
Aggregate event counts, risk acceleration, regulatory momentum
Events & Timeline
Individual intelligence events with confidence scores
Structural Signals
Ring 1 — hard financial data and quantitative metrics
Language Drift
Ring 2 — NLP tracking of policymaker terminology shifts
Deployment Tracking
Ring 3 — CBDC lifecycle stages and deployment probability
Fragility Mapping
Ring 4 — SPOF detection and cascade potential
Fracture Detection
Ring 5 — geopolitical fragmentation scoring
NIG Composite
Narrative-Infrastructure Gap per jurisdiction
Scenario Engine
Forward-looking cascade chain modeling
Predictions
Probability-weighted forecasts
Intelligence Briefs
Synthesized narratives from multi-ring analysis
Backtest & Calibration
Historical validation and confidence normalization
Analyst Reviews
Human-in-the-loop governance layer
Impact Observatory
Cross-domain impact scoring
Cross-Ring Conflicts
Detecting contradictions between analysis rings
Audit Trail
Full transparency on system decisions
Jurisdictions
14 monitored jurisdictions with per-country scoring
Alerts
Threshold-triggered notifications
Technical Foundation
23
Analysis Modules
7
Infrastructure Layers
4
Historical Backtests
Apache 2.0
License
All intelligence data grounded in public central bank publications, BIS working papers, and regulatory filings. Built by Unykorn AI. Production-grade real-time intelligence processing.
Unykorn AI · Apache 2.0 Licensed · SYSTEM ONLINE