Compress · TV & broadcast

Archives, contribution feeds and compliance recordings.

Broadcasters keep decades of programmes, record everything they air and move live feeds from venues to the studio. Compress makes the archive smaller, the feeds lighter and the compliance logger cheaper to run.

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What it compresses.

The data tv & broadcast teams bring to Compress most.

Archive masters and mezzanine files
Live contribution feeds
Off-air compliance recordings
Captions, loudness and as-run logs

Use cases

Compress in tv & broadcast.

Broadcast archives

Decades of programmes, smaller and still broadcast-grade.

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Remote production & contribution

Live feeds from the venue over the links you have.

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Compliance recording

Everything you aired, kept for as long as the regulator asks.

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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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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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Cloud, on-premises or air-gapped

Runs where your data already lives.

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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.

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.

Drones & UAV

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

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