TranzAI platform

Geospatial intelligence

To empower data scientists with geospatial intelligence, TranzAI has developed a low-code spatiotemporal data science platform.

This platform makes it easier to:

• Consolidate complex data with diverse spatial types, heterogeneous semantics for attributes, and different spatial resolutions, grids and coordinate systems.
• Extract meaning and insights from high dimensional data.
• Visualize complex relationships and patterns related to space and time.
• Apply best practices for spatiotemporal feature extraction.
• Design and deploy models based on best machine learning algorithms.

Machine learning for spatiotemporal data

The TranzAI platform can be used for:

• Predictive modeling
• Anomaly detection
• Pattern recognition
• Earth Observation data analysis
• Image analysis
• Risk management
• Earth data analysis