Skyfora Deeptech Explained

Understanding the science behind atmospheric intelligence

Dive deep into the technology, research, and innovation that powers Skyfora's weather intelligence platform.

The Technology Behind Skyfora

At Skyfora, we're pioneering a new approach to atmospheric monitoring and weather forecasting. Our technology transforms existing Global Navigation Satellite System (GNSS) infrastructure into a powerful weather sensing network, providing unprecedented insights into atmospheric conditions.

Traditional weather forecasting relies on sparse networks of expensive ground stations, weather balloons, and radar systems. These methods leave vast gaps in coverage, particularly in urban areas and developing regions. We've developed a fundamentally different approach: using signals from GPS and other satellite navigation systems that are already passing through the atmosphere billions of times per day.

Our platform combines cutting-edge atmospheric physics, advanced signal processing, and artificial intelligence to extract weather intelligence from GNSS data. Here's how the core technologies work together:

GNSS Meteorology

How we use Global Navigation Satellite System signals to measure atmospheric water vapor with unprecedented accuracy.

GNSS signals traveling through the atmosphere are delayed by water vapor. By measuring these delays from multiple satellites and ground stations, we can create detailed 3D maps of atmospheric moisture - a critical input for weather forecasting.

This technique, known as GNSS meteorology, turns every GNSS receiver into a weather sensor. The more receivers in an area, the higher the resolution of atmospheric data we can achieve.

Atmospheric Tomography

Reconstructing 3D atmospheric structures from 2D satellite signal measurements.

Similar to medical CT scans, we use signals from multiple angles to reconstruct the internal structure of the atmosphere. This reveals moisture patterns, temperature gradients, and atmospheric dynamics invisible to traditional methods.

Our tomographic algorithms process thousands of signal paths simultaneously, creating a continuously updating 3D model of the atmosphere with resolution down to individual city blocks.

Once we've captured and reconstructed the atmospheric data, the next challenge is turning it into accurate, actionable forecasts. This is where artificial intelligence and high-performance computing come into play.

AI-Powered Forecasting

Machine learning models that transform raw atmospheric data into actionable weather intelligence.

Our neural networks process vast amounts of GNSS data, historical weather patterns, and real-time observations to generate hyperlocal forecasts. The models continuously learn and improve from new data.

We employ deep learning architectures specifically designed for spatiotemporal prediction, enabling us to forecast weather conditions with unprecedented accuracy at scales from minutes to days ahead.

Real-Time Data Processing

Processing millions of satellite signals per hour to deliver instant atmospheric insights.

Our cloud infrastructure processes GNSS data streams in real-time, applying advanced algorithms to extract atmospheric parameters within seconds of signal reception. This enables nowcasting and rapid response to changing conditions.

The system handles massive data throughput while maintaining low latency, ensuring that forecasts are based on the most current atmospheric state possible.

The final pieces of our technology stack focus on deployment and scientific rigor - making our solution practical and scalable while ensuring accuracy through solid atmospheric physics.

Dense Network Technology

Building and managing high-density GNSS receiver networks for maximum coverage.

Strategic placement of GNSS receivers creates a dense monitoring network that captures local atmospheric variations. Our micronets technology makes deployment cost-effective and scalable across urban and rural areas.

Each micronet node is designed for easy installation and minimal maintenance, enabling rapid deployment and expansion of coverage areas.

Skyfora Solutions

Once observations are secured and operational, your insights can begin.

At Skyfora, we deliver three core solutions.

First, we establish the local, dense, and reliable observations you need — whether sourced from Telecom 5G networks or Skyfora's micronet of GNSS antennas.

Second, we bring clarity, usability, and continuous monitoring through intuitive visualizations in the Insights Dashboard.

Finally, you can securely and seamlessly consume and stream the data layers you need directly into your systems via our APIs.

Our team works around the clock to refine these solutions, guided by the latest research and validated against ground-truth measurements. Quality is our promise.

The Result: Hyperlocal Weather Intelligence

By integrating these technologies, Skyfora delivers weather forecasts with unprecedented spatial and temporal resolution. Our platform provides minute-by-minute updates for specific locations, enabling organizations to make better decisions, optimize operations, and respond proactively to changing weather conditions.

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