Use cases
These are representative problem classes—not an exhaustive product list. In each case, the value proposition is the same: keep humans in the loop on massive, structured data without dumbing it down to a single static view.
Fuse radar, ADS-B, satellite ephemerides, and uncrewed traffic in one explorable volume. Support incident replay, what-if sector loading, and training scenarios where temporal and spatial errors are easier to see in 3D than on stacked timelines.
Navigate experiment ensembles, simulation outputs, and learned representations. Let investigators compare runs, sweep parameters, and annotate anomalies while preserving the geometry of the underlying state space.
Explore multi-layer rasters, meshes, and time series at continental scale. Link extreme events to regional structure; compare model drift and ensemble spread in a frame that respects Earth geometry—not only heatmaps.
Inspect transaction graphs, counterparty exposure, and embedding-driven clusters across long histories. Use immersion to surface sparse, high-impact subgraphs that tabular pivots often bury.
Correlate high-rate sensor streams with maintenance logs and quality metrics. Support root-cause workflows where operators move between plant layout, temporal traces, and multivariate feature spaces without exporting everything to a slide deck.
Have a workload that does not fit neatly into one box? We scope pilots around measurable acceptance criteria.
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