Global Forecasting System
Discover Accurate, Actionable Insights Before They Happen
Our purpose
The Global Forecasting System (GFS) is designed to analyze and predict global events using advanced machine learning algorithms and integration of data from various sources. It covers three main areas of applicationShowcasing GFS at the Hackathon:
Industry 4.0 Pitch Battle at AstanaHub
We applied to participate with our project Global Forecasting System (GFS) in the Industry 4.0 Pitch Battle — a pitching event for industrial technology solutions as part of the Digital Bridge 2025 forum at AstanaHub. Unfortunately, our project did not pass the selection stage.
gfs.astanahub.applicationThe team that applied to participate in AstanaHub:
Presentation
Podcast about Project
Podcast about Project
Social Forecasting:
Description:
Analyzes public sentiment and human behavior to identify social trends and predict changes in society.
Methods:
Using data from social networks, surveys, and news sources to analyze public opinion and sentiment.
Applications:
Forecasting social movements, changes in public sentiment, identifying key factors influencing public behavior.
Geopolitical Forecasting:
Description:
Predicts changes in global political forces and international conflicts based on the analysis of political events and international relations.
Methods:
Collect and analyze data from government reports, news, and social media, apply causal models to identify potential political changes.
Applications:
Help develop political strategies, manage crises, predict international conflicts and changes in political dynamics.
Economic Forecasting:
Description:
Analyzes economic data to predict macroeconomic trends and develop investment strategies.
Methods:
This involves using data from financial markets, economic reports, and news, and applying econometric models and time series analysis.
Applications:
Forecasting market fluctuations, developing investment strategies, assessing the impact of economic events on the global economy.
Model Architecture & Capabilities
Multi-Pass Analysis Pipeline
The GFS Model uses a sophisticated 4-pass analysis pipeline to extract events, classify spheres, map economic sectors, and analyze news impact. Each pass uses specialized LLM models optimized for specific tasks.
Core Capabilities
- Event Extraction (Pass 1) - Identifies up to 3 real-world events from dream narratives
- Sphere Classification (Pass 2) - Categorizes events into economic, social, or geopolitical spheres
- Economic Mapping (Pass 3) - Maps events to specific industries using NAICS taxonomy
- Prediction Verification (Pass 5) - Verifies predictions against real-world evidence using temporal windows
- Similar Dreams Search - Vector-based semantic search to find related dreams
- News Analysis (Pass 4) - Analyzes news impact on financial markets
API Modes
Full Analysis
Complete 4-pass analysis with event extraction, sphere classification, economic mapping, and news analysis
Quick Events
Fast event extraction (Pass 1 only) - ideal for batch processing and testing
Prediction Verification
Temporal verification of predictions using GDELT, Google CSE, and government sources
Similar Dreams
Find semantically similar dreams using FAISS vector search
Performance Metrics
Figure 3. Describes the processes of obtaining biological data. And using of AI to forecast events
Project Development History
GFS Model has evolved through multiple releases, each adding new capabilities and improving accuracy. Here's our journey:
v2.0.0 (Planned)
PlannedQ4 2025 - Q3 2026
Upcoming release with scientific formulation, causal reasoning, fact-checking, FrameNet integration, and user priorities system.
v1.0.0
Implemented2025-10-14
Production-ready release with prediction verification system, temporal windows, GDELT integration, and evidence scoring.
v0.1.0
Implemented2025-09-12
MVP release with multi-pass analysis, similar dreams search, and basic news integration.
Figure 4. Beacons of Time
Try the Model
Test the GFS Model directly from your browser. Choose a mode, enter your dream text or prediction, and see real-time results.
Select Demo Mode
Figure 3. Describes the processes of obtaining biological data. And using of AI to forecast events
Recent breakthrough discoveries affirm the quantum nature of consciousness,
which is based on the connection between the biological and physical structure of living and non-living systems.
The development of technology inevitably leads to a qualitatively new understanding of the formation of event sequences and a rethinking of the logic of cause-and-effect relationships.
GFS Event Horizon: Verified Outcomes and Forthcoming Forecasts
The Global Forecasting System's Track Record: Validated Predictions and Critical Future Projections
| # | Prediction | Date | Category |
|---|---|---|---|
| 1 | Armed conflict on the territory of Ukraine | 30.09.2024 | Geopolitical |
| 2 | Internal armed conflict | 30.09.2024 | Geopolitical |
| 3 | Escalation of the conflict between Hamas and the State of Israel | 30.09.2024 | Geopolitical |
| 4 | Destruction of the Kakhovka Hydroelectric Power Plant and its consequences | 30.09.2024 | Economic |
| 5 | Tightening of migration legislation in the United States and the United Kingdom | 30.09.2024 | Geopolitical |
Project Curators
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