What you get.
Placeholder: a few lines on how neural codecs works and why it matters.
- Pretrained for gridded, image, audio and video data
- Fine-tuned on your own archive
- Lossless and lossy modes
- Versioned so old files always decode
Used for
Where neural codecs helps.
Network telemetry
Keep every counter and probe record, not a sample.
See howCall & data records
Years of CDRs and xDRs for billing and retention.
See howRAN & fronthaul
Raw IQ samples over less fibre.
See howBroadcast archives
Decades of programmes, smaller and still broadcast-grade.
See howRemote production & contribution
Live feeds from the venue over the links you have.
See howCompliance recording
Everything you aired, kept for as long as the regulator asks.
See howVideo & imaging archives
Video and imaging archives, smaller.
See howVideo surveillance
Months of footage from the same recorders.
See howStreaming & VOD libraries
Fewer bytes per title, from origin to edge.
See howRadio station archives
Every hour on air, kept and searchable.
See howObservability logs
Keep every line, without the bill.
See howSecurity & SIEM logs
A year of history, not 30 days.
See howAudit & compliance logs
Seven years of records, provably unchanged.
See howDatabase backups & snapshots
Keep more restore points for the same bill.
See howData lakes & analytics
Event and analytics tables, a fraction of the size.
See howUser uploads & media
Every file your customers upload, stored for less.
See howAI training data & checkpoints
Datasets and checkpoints that fit the budget.
See howDrone inspection
Power lines, towers and turbines, in full detail.
See howLive UAV video
Clearer video over a thin radio link.
See howISR full-motion video
More eyes on target through the same pipe.
See howPublic records & archives
Digitised records, kept forever for less.
See howBody-worn & evidence video
Years of evidence from every officer’s camera.
See howEmergency services
Live video from the incident, over a congested network.
See howClimate & weather archives
Petabytes of model output in a fraction of the space.
See howLivestock monitoring
Collars and cameras across the whole property.
See howSatellite downlink
More imagery through the same pass.
See howFeatures
More features.
Error bounds
Set the error per variable; we guarantee it.
Learn moreScientific formats
NetCDF, GRIB, Zarr, GeoTIFF and more.
Learn moreEdge & streaming
Compress at the sensor, before the link.
Learn moreSDK & CLI
One line in Python, a command in the shell.
Learn moreCloud, on-premises or air-gapped
Runs where your data already lives.
Learn moreWe’ll cover
- Compress run on a sample of your data
- Size, speed and error compared with what you use now
- Fitting it into your pipeline
- Deployment: cloud, on-premises or edge