Machine-Readable
Economic Intelligence
Corteqx transforms world events, narratives, and real-world signals into structured intelligence, causal reasoning, and autonomous research.
Global Signals
Structuring
Outputs
Core Philosophy
The World Runs on
Events and Propagation
Traditional systems look at price history. We look at the world. Every economic shift starts with a physical event that propagates through a machine-readable network of causal relationships.
Traditional
- • Historical Prices
- • Lagging Indicators
- • Quarterly Filings
- • Reactive Analysis
Corteqx
- • Causal Events
- • Signal Propagation
- • Real-world Narratives
- • Predictive Modeling
Drought
climateSevere water deficit in agricultural hubs
Crop Stress
agriYield projections down 18% YoY
Supply Shortage
logisticsInventory levels hit 5-year lows
Food Inflation
macroCPI contribution increases 45bps
Consumer Weakness
socialDiscretionary spending contraction
Retailer Pressure
equityMargin compression & earnings risk
Phase 01
Continuous Global Signal Ingestion
Our pipeline starts with the raw pulse of the world. We ingest millions of unstructured data points every hour from diverse, specialized intelligence streams.
News-FM
Real-time global news frequency modulation
Weather Intel
Hyper-local environmental anomaly detection
Trend Engine
Internet-scale narrative velocity tracking
IPO Ingestion
Global capital market formation pipeline
Earnings Flow
Autonomous corporate performance extraction
Macro Pulse
Systemic economic indicator streams
Raw Signal Normalization
Every signal, whether a tweet, a satellite image, or a weather report, is transformed into a standardized RawSignalCandidate object before entering the cluster engine.
Phase 02
Canonical Event Intelligence
Raw signals are noisy and redundant. Our engine uses semantic clustering, entity resolution, and source convergence to merge thousands of disparate signals into a single, high-fidelity canonical event.
Entity Resolution
Deduplicating entities across sources (e.g. "AAPL", "Apple Inc", "Apple").
Semantic Clustering
Grouping related signals based on conceptual and spatial-temporal similarity.
Source Convergence
Validating event reality by triangulating across News, Trends, and Satellite data.
Phase 03
Persistent Intelligence Memory
Every event is versioned and persisted. We don't just know what's happening now; we know how it's evolving and which historical analogs share its DNA.
Analog Retrieval
Initial anomaly detected in Minas Gerais
Regional supply chain logistics impacted
Alternative sourcing narratives forming
Phase 04
Structured Forecasting Systems
We don't use LLMs to predict the future. We use them to structure features for high-performance ML models that understand regime shifts and non-linear propagation.
Feature Engineering
Model Ensemble
XGBoost // LightGBM // Neural-Seq
Predictive Risk
Phase 05
Machine-Generated Economic Reasoning
Our autonomous research agents don't just find information—they synthesize it. By traversing the knowledge graph and historical analogs, they generate institutional-quality reasoning chains that explain *why* something is happening.
Evidence Retrieval
Pulling thousands of verified facts, events, and narrative vectors in milliseconds.
Multi-hop Synthesis
Connecting distant signals to identify non-obvious systemic risks across sectors.
Phase 06
The Economic World Graph
At the heart of Corteqx is a recursive, multi-dimensional knowledge graph. It maps every entity, commodity, region, and narrative through billions of causal relationships.
Specialized Intel
Real-World Environmental Intelligence
Economic events don't happen in a vacuum. We monitor global weather anomalies, agricultural stress, and infrastructure operational risks at a planetary scale.
Anomaly Detection
Detecting multi-sigma deviations from historical weather baselines.
Exposure Mapping
Automatically mapping weather events to facility locations and commodity hubs.
Specialized Intel
Narrative and Attention Detection
We track the velocity of ideas. By monitoring internet-scale attention across search, social, and news, we identify emerging narratives before they reach mainstream financial media.
Architecture
The Intelligence Pipeline
A cohesive, automated system that transforms chaotic world data into machine-readable economic reality.
World Information
News, Weather, Trends
Ingestion Systems
Standardization
RawSignalCandidates
Validation
Canonical Events
Resolution
Historical Memory
Persistence
Prediction Layer
Forecasting
Knowledge Graph
Causality
Autonomous Research
Synthesis
API / Agents
Delivery
The Corteqx Edge
Beyond Market Data
Most platforms tell you what happened to the price. We tell you what's happening to the world that drives the price.
By modeling the physical reality of the economy—weather, logistics, narratives—we identify risks and opportunities weeks before they appear in financial statements.
- Reactive and lagging indicators
- Isolated and siloed datasets
- Market-only focus (price/vol)
- Manual research intensive
- Causal and predictive modeling
- Unified knowledge graph
- Full world-awareness (physical/social)
- Autonomous research agents
Final Vision
Autonomous Institutional
Intelligence Infrastructure
Corteqx is building a machine-readable model of economic reality. A world where information flows instantly from physical events to autonomous reasoning systems, enabling unprecedented clarity and foresight.