Most geospatial platforms were built for static archives. StreamWeave was built for the moment a bus enters a tunnel, a flood sensor trips in Rotterdam, and a building permit clears in Lyon — all within the same 200-millisecond window.
The engine fuses four parallel pipelines: a streaming ingestion plane that accepts 14 native feed formats without ETL staging; a columnar fusion layer that joins LiDAR point clouds, Sentinel-2 tiles, and municipal IoT telemetry by spatial-temporal index; a query plane that pre-computes adjacency and risk neighborhoods; and an export plane that emits GeoJSON, vector tiles, or WMS to whatever system your city already runs.
The result is a single geospatial decision layer your planners query the same way they query a document — in natural coordinates, with sub-50-millisecond answers, and against every data source your city already pays to collect.