Harpia Analytics delivers high-frequency, city-level economic indicators derived from alternative data sources like satellite imagery and vessel tracking. Our platform provides near-real-time insights into infrastructure use, trade, and labor markets, enabling proactive strategic planning and risk analysis.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional economic and operational indicators often suffer from significant reporting lags, hindering timely decision-making for strategic planning, risk analysis, and operational intelligence. This delay prevents stakeholders from accurately assessing current market dynamics and anticipating future trends.
Solution
Harpia Analytics provides high-frequency, precision indicators derived from proprietary algorithms and diverse alternative data streams. Our platform integrates satellite imagery, administrative records, vessel tracking data, and payroll filings to generate near-real-time insights at a granular, city-level resolution. These indicators offer early signals on infrastructure use, trade dynamics, workforce availability, and fiscal activity, enabling proactive decision-making. Our machine learning models and scalable data pipelines deliver robust nowcasts and forecasts, providing a competitive edge by revealing emerging patterns before they are reflected in official statistics.
Target Audience
Our primary customers are executives, investors, policymakers, financial firms, infrastructure operators, and strategy professionals who require granular, near-real-time data for strategic planning, risk analysis, and operational intelligence.
Features
- **Local Luminosity Index**: Transforms global satellite radiance data into high-frequency signals of urban and regional activity, tracking infrastructure use and population dynamics.
- **Fiscal Dynamics Tracker**: Standardizes and segments official spending data into capital and operational categories for timely insight into regional and sectoral fiscal activity.
- **Global Trade Tracker**: Utilizes vessel tracking data to model near real-time trade dynamics, identifying inflection points in export and import activity.
- **Workforce Pressure Tracker**: Processes payroll and tax filings to map labor availability and wage pressure across cities and occupations, highlighting talent pool constraints and wage acceleration.
- **Proprietary Algorithms**: Combines economic theory with advanced data science methodologies, including machine learning, for robust indicator generation.
- **Statistical Stress-Testing**: Ensures the reliability and accuracy of each indicator through rigorous statistical validation and comprehensive documentation.
- **Scalable Data Pipelines**: Leverages cutting-edge machine learning and cloud-based infrastructure for rapid processing and delivery of nowcasts and forecasts.