Compress · Drones & UAV

Survey imagery, inspection data and live video from the air.

One drone flight can bring back hundreds of gigabytes, and live video has to fit through a radio link. Compress shrinks imagery, LiDAR and video on the aircraft or after it lands, within the accuracy the job needs.

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What it compresses.

The data drones & uav teams bring to Compress most.

Survey imagery and orthomosaics
LiDAR point clouds
Thermal and inspection stills
Live EO/IR payload video

Use cases

Compress in drones & uav.

Drone mapping & survey

Upload a day’s flights before the next one.

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Drone inspection

Power lines, towers and turbines, in full detail.

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Live UAV video

Clearer video over a thin radio link.

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Features used

The parts of Compress that do the work.

Neural codecs

Codecs trained on your kind of data.

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Error bounds

Set the error per variable; we guarantee it.

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Scientific formats

NetCDF, GRIB, Zarr, GeoTIFF and more.

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Edge & streaming

Compress at the sensor, before the link.

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SDK & CLI

One line in Python, a command in the shell.

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See Compress on your own data.

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Industries

Other industries.

Telecoms

Network telemetry, records and radio data at operator scale.

TV & broadcast

Archives, contribution feeds and compliance recordings.

Video

Surveillance, streaming libraries and production footage.

Radio & RF

Station archives, spectrum recordings and radio astronomy.

Log files

Application, security and audit logs, kept for longer.

Software & SaaS

Backups, data lakes, user uploads and AI training data.

Defence & military

ISR video, signals and sensor feeds over contested links.

Government

Records, evidence, geospatial data and emergency video.

Weather & climate

Forecasts, radar, observations and climate archives.

Agriculture

Crop imagery, farm sensors, livestock and machinery data.

Sensors & IoT

Machine, environmental and vehicle sensors over thin links.

Science & space

Earth observation and simulation at research scale.

Compress demo

See Compress on your own data.

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We’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