DATA & COMPUTE LAYER
Multimodal Data Fusion
Many sources, one analysis-ready view.
Satellite imagery, weather, IoT streams, GIS layers, scientific literature, and enterprise data are aligned in space and time into clean, multi-temporal datasets that agents and models can reason over directly.
How it works
From input to governed output
1
STEPIngest
Connect optical, multispectral, weather, IoT, and GIS sources through managed pipelines.
2
STEPAlign
Data is co-registered spatially and temporally so every layer lines up on the same grid and clock.
3
STEPEnrich
Derived indices, embeddings, and context are computed to make the data model-ready.
4
STEPServe
Analysis-ready datasets are made available to agents, dashboards, and the API.
Capabilities
Optical & multispectral imagery
Weather & climate models
IoT & sensor streams
GIS & vector layers
Scientific literature retrieval
Enterprise data connectors
What it produces
Analysis-ready datasetsDerived indices (NDVI/EVI, etc.)Co-registered layersFeature embeddings
See it applied to your mission
Explore how this fits an end-to-end program, or talk to our team about a pilot.