Multispectral and Hyperspectral
compression
Compression.ai uses machine learning to process and crunch spectral data, decreasing final file sizes by over 50% and accelerating your downstream machine learning applications.
The biggest challenge of multispectral imaging is handling the sheer amount of raw data. Hyperspectral images are volumetric image cubes that consist of hundreds of spatial images at a particular wavelength.
Features
Industry Agnostic
Compression.ai works with companies across a wide variety of industries including agriculture, ecology, oil and gas, and oceanography where multispectral and hyperspectral remote sensing are being used to better understand the world we live in.
All Data Types
Our algorithms are built to handle data of various different types originating from a variety of different sensors. Use Compression.ai on any data type from LIDAR to radio frequency data.
Accelerated Data Processing
Accelerate downstream tasks such as classification or object detection by compressing spectral data to a fraction of their original size.
Performance
Transmit data over 50% faster, from data centers or edge devices.
Increase the capacity of your storage devices by up to 2x.
