Intelligently
compress data

Custom AI compression algorithms
that preserve signal and cut noise.

Peak signal-to-noise ratio

db

Reconstruct without quality loss.
Visually indistinguishable to a human viewer.

Featured Benchmark

Sentinel-2 MSI · Fields

Sentinel-2 Fields — quality 0
Lossless Max lossy
163 MB → 3 MB File size
57.7 dB PSNR
Explore other benchmarks →
[ AI CODEC FOR SENSOR DATA ] [ MOVE MORE DATA, FASTER ] [ DUAL LOSSY/LOSSLESS CONTROL ] [ PRESERVES DOWNSTREAM UTILITY ] [ NO HARDWARE CHANGES REQUIRED ] [ AI CODEC FOR SENSOR DATA ] [ MOVE MORE DATA, FASTER ] [ DUAL LOSSY/LOSSLESS CONTROL ] [ PRESERVES DOWNSTREAM UTILITY ] [ NO HARDWARE CHANGES REQUIRED ]

Runs where data is
generated—at the edge

Earth Observation
AGX Orin NVIDIA
Orin NX NVIDIA
RB5 QUALCOMM
V2000 AMD
AVs
Robotics
Drones
Medical Imaging
Earth Observation
AGX Orin NVIDIA
Orin NX NVIDIA
RB5 QUALCOMM
V2000 AMD
AVs
Robotics
Drones
Medical Imaging

Fixed rules can't understand
a changing world

Fixed rules
can't understand
a changing world

Algorithmic compression

Folder icon
  • Lossless and lossy modes for production use
  • Struggles with modern sensor data
  • Static rules, can't learn what matters
  • CPU-only, no GPU acceleration
  • Full decode required before any analysis
VS

Neural codec

  • Lossless and lossy modes for production use
  • Built for multispectral, LiDAR, video
  • Models trained on your specific data
  • Runs on GPUs at the edge
  • Run analytics directly on compressed data
TCC-01 REV.44 2026 PROOF

AI compression that learns
from your data

Throughput

More data, same fidelity

Hyperspectral, LiDAR, drone video, medical imaging—compressed to a fraction of original size.

Fidelity

Lossless or tunable lossy

Lossless when fidelity is non-negotiable, tunable lossy when throughput matters. You control the trade-off.

Edge Deploy

Deploy in 5–10MB,
encode and decode anywhere

Runs on edge GPUs you already have. Encode in real-time at the edge, decode in the cloud or on-prem.

ML-Ready

Analyze 100× faster with
ML-ready representations

Plugs directly into AI workflows. Faster preprocessing, training, inference. No decode step.

How it works

You focus on your mission, we handle compression

Start here Talk to an engineer + Schedule a call
01 Send sample data Share sensor data. We take it from there.
02 We train a model Purpose-built for your modality and hardware.
03 Ship a 5–10MB package Small enough to uplink. Runs on edge GPUs.
04 Deploy & compress Encode at the edge, decode anywhere.

A single compression layer
for every modality

01 Earth Observation
02 Autonomous Vehicles
03 Robotics & Teleoperations
04 Drones
05 Medical Imaging

London HQ
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Jobs WE'RE HIRING
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Built by neurotech experts
obsessed with solving hard problems

Leadership
[ CEO ] Michael Stanway
[ CTO ] Joe Griffith
Backed by
Long Journey 1st SpaceX investor Ludlow Ventures FDVC Entrepreneurs First Transpose Platform

AI-native compression
for every sensor

Autonomy, real-time systems, and distributed intelligence depend on data that moves efficiently

+ COMPRESS YOUR DATA

FAQs

Can this run on my existing hardware? +

Yes. Our approach outperforms traditional approaches like JPEG and CCSDS with minimal to no reconstruction error. We support NVIDIA, AMD, and Qualcomm out of the box, with deployment options for edge devices and cloud infrastructure.

How much data do you need to train a model? +

It depends on the modality and target compression ratio. For most use cases, a representative dataset of around 100 GB is sufficient. We provide data curation tools and can work with your existing pipelines.

What if I need lossless compression? +

We offer both lossy and mathematically lossless modes. Our codec consistently outperforms traditional approaches like JPEG and CCSDS with minimal to no reconstruction error.

How long does deployment take? +

A standard integration takes 2–4 weeks from kick-off to production. We provide SDKs for Python, C++, and Rust, along with pre-built containers for common deployment targets.

Is there vendor lock-in? +

No. Our decoders are open and permanently available — any data you've compressed can always be decompressed, with or without a TCC contract. If you stop working with us, your existing compressed data remains fully accessible. You just won't be able to encode new data with our trained models.