Articles
Expert series.
Research and perspective from our founder and engineers: benchmarks, methods and the occasional strong opinion.
What an error bound actually guarantees
“Lossy” worries scientists for good reason. Here’s what a hard error bound promises, how we check it on every file, and why it beats “looks fine”.
Learned codecs against zstd, SZ and ZFP
We ran the same ten datasets through general-purpose, scientific and learned compressors. Where neural codecs win, and where they don’t.
Compressing on orbit: more scenes through the same pass
A ground station pass is a fixed window. Compress on board and the window holds more. What it takes to run a codec on a satellite.
The real cost of keeping a petabyte
Storage is the line item everyone sees. Replication, egress, backups and the time to read it back are the ones that add up.
Will your files still decode in ten years?
A learned codec is a model, and models change. How we version every codec so a file written today opens in 2036.
Sensor data over thin links
Cellular, LoRa and satellite IoT all charge by the byte. How compressing at the sensor turns hourly readings into minute-by-minute ones.