Geospatial data processor for tracking autonomous delivery drones with sub-millisecond latency.
Challenge
Crisis, logistics, and robotics workflows all need location data that is both current and explainable. A map without temporal context becomes decoration.
Approach
- Used Kafka topics to separate ingestion, enrichment, and alerting.
- Used PostGIS for durable spatial queries and historical reconstruction.
- Modeled every event as part of a time-aware operational graph.
Outcome
- Supported real-time tracking while keeping old states queryable.
- Connected geospatial intelligence patterns to cellular and biological atlas thinking.
- Made field-facing dashboards more useful by preserving provenance.