Intelligently
compress data

Custom AI compression algorithms
built for your data and deployment

Halftone dithered landscape visualization

Featured Benchmark

Sentinel-2 MSI · Fields

163 MB Original
3 MB Compressed
57.7 Peak signal-to-noise ratio (dB)
Sentinel-2 Fields benchmark visualization

Runs where data is
generated—at the edge

Earth Observation

Earth observation satellite imagery

AVs

Robotics

Drones

Medical Imaging

EARTH OBSERVATION

AGX Orin

NVIDIA

⊙⊙

Orin NX

NVIDIA

≈≈≈

Orin Nano

NVIDIA

⊡⊡⊡

AGX Thor

NVIDIA

◆◆◆

Fixed rules can't understand
a changing world

Off the shelf solutions

  • Does not account for your hardware
  • Discards detail that matters
  • Introduces artifacts
  • Can't keep up with modern sensors
  • Requires decoding to process

Bespoke compression

  • Optimised for your power budget
  • Built around your unique data
  • Gives control over lossless/lossy modes
  • High throughput for live compression
  • Run analytics directly on compressed data

A single compression layer
for every modality

01

Earth Observation

02

Autonomous Vehicles

03

Robotics & Teleoperations

04

Drones

05

Medical Imaging

Earth Observation

>10× more imagery downlinked

Retrofit constellations with a software upload. Serve more regions and more customers without launching new satellites.

From conversation to running on your hardware

01

Explain your set up

Hardware, modality, data rates. We know what we need.

02

We design your codec

Bespoke to your datatype and runtime environment.

03

Ship a 5–10MB package

Push to hardware already in the field. No install in advance.

04

Deploy and compress

Encode at the edge, decode anywhere.

High-throughput, maximum signal

Build the next small thing

Join our team and help revolutionize data compression for edge computing

Open Roles

ML Compression Engineer

NEW
Full-time Los Angeles · In-person
The Role

You will build the compression technology at the core of The Compression Company. You'll design and train neural compression models, improve compression ratio while preserving quality and downstream utility, and make our training system fast and repeatable.

Sample Projects
  • Improving rate/quality performance for real customer datasets
  • Building automated training runs that explore model + training settings
  • Extending our evaluation suite to reflect real user needs
  • Improving reproducibility and speed across the training + benchmarking loop
You Might Be a Fit If
  • You've trained and shipped ML models end-to-end
  • You care about reliability, performance, and clean experimentation
  • You are strong in PyTorch and comfortable owning training + evaluation
  • You enjoy turning research work into usable systems
Compensation

Salary: $160k–$240k

Equity: Founding equity with meaningful ownership

Benefits: Full relocation & visa support

+ APPLY

Deployment Engineer

Full-time Los Angeles · In-person
The Role

You will own the deployment and integration of our compression technology into customer environments. You'll work closely with ML engineers and customers to ensure our codecs run reliably in production at scale.

Sample Projects
  • Integrating compression pipelines into customer production systems
  • Building tooling to monitor and debug deployed codecs
You Might Be a Fit If
  • You've shipped production systems end-to-end
  • You care deeply about reliability and operational excellence
Compensation

Salary: $140k–$200k

Equity: Founding equity with meaningful ownership

Benefits: Full relocation & visa support

+ APPLY

Forward-Deployed Engineer, Earth Observation Specialist

Full-time New York · In-person
The Role

You will embed with our earth observation customers to understand their data pipelines and drive adoption of our compression technology. You'll bridge the gap between our core ML team and the specific needs of satellite imagery and geospatial data workflows.

Sample Projects
  • Running compression pilots with earth observation data customers
  • Building integrations with geospatial data pipelines and formats
You Might Be a Fit If
  • You have hands-on experience with satellite or geospatial data
  • You are comfortable working directly with customers in a technical capacity
Compensation

Salary: $140k–$200k

Equity: Founding equity with meaningful ownership

Benefits: Full relocation & visa support

+ APPLY

Press & News

Latest announcements and media coverage

The Compression Company has raised $3.4 million in pre-seed funding to boost satellite data transmission with AI-based compression, with the round led by Long Journey.

The Compression Company raises $3.4M to unlock 98% of satellite data that never reaches Earth

Satellite Evolution Group · Jan 2026

Discover how our AI compression technology is revolutionizing satellite data transmission and enabling earth observation at scale.

The Compression Company Announces $3.4M Pre-Seed Round, Led By Long Journey

ViaSatellite · Jan 2026

Our latest funding round demonstrates strong investor confidence in the potential of AI-driven compression for edge computing applications.

The Compression Company lands £2.5m in pre-seed funding to run data compression onboard satellites

Soapbox VC · Jan 2026

Learn how our innovative approach to on-device compression is transforming the satellite and earth observation industry.

Media Inquiries

For press inquiries and media requests, please reach out to us at:

+ CONTACT

Frequently Asked Questions

We have models which significantly outperform standard compression algorithms. Find some key results in our benchmark page.

Yes. Many of our codecs are built for your hardware and modality without it. But the better we understand your data, the more redundancy we can strip and the higher the compression — so sharing a sample lets us tune to your exact deployment for even better results.

Yes, fully. Go fully lossless, near-lossless, or mix the two in one pass — lossless where it matters, heavier compression elsewhere. You decide what's kept.

Yes. We measure exactly what's kept versus what's lost across a huge range of metrics, and maintain more rigorous, deeper benchmarks than anyone in the industry — tested against the standard metrics for your downstream tasks. We also work with you to identify the key information in your data and design a codec that maximises how much of it is preserved. See more on our benchmarking page.

Yes. We decode into your standard format, so your pipeline runs unchanged. In many cases you can skip decoding altogether and run analytics directly on the compressed data — faster and cheaper, because it's a fraction of the size.

Yes. We offer encryption on the compressed stream as part of encoding — one efficient pass, leaving your data smaller and protected.