EARTH OBSERVATION
Neural compression models trained on your imagery, deployed to the hardware already in orbit
More satellites is an expensive answer to a physics problem
Storage costs on large-scale archives balloon into the millions annually
Modern constellations ship with powerful GPUs, most running well below capacity
EO imagery isn't a picture, it's a data cube: hundreds of spectral bands, most of them correlated, all of them carrying exploitable redundancy. Legacy algorithms miss these redundancies—they weren't built to find them. Ours are trained to.
A custom model learns the specific structure of your imagery and gets significantly more of it through the downlink. File sizes up to 200x smaller, no hardware changes.
Share a sample of your imagery. Encoding stays on your hardware throughout
Benchmark reconstruction accuracy against your own standards
We train a custom model on that data
The model ships as a small file and uplinks to your constellation
