Miliki uses a Content Sensitive Approach to identify and decompose a data type to suitable constituents for effective compression. For example, an image is automatically grouped into one of many classes of pictures such as photo realistic, natural, line drawing, bi-tonal etc. Documents are also decomposed into constituent classes such as text, tables, formulas, embedded pictures etc. Miliki then selects from the suite of algorithms and filters the best scheme for compressing each component. This approach achieves significantly higher compression than other popular techniques such as ZIP.

Faster Transmission of Data:
The Miliki Super Compressor reduces the bandwidth and time required to transmit data. This results in faster downloads and uploads over narrow band connections, thereby enabling remote users with wireless internet connections to transmit a combination of large images and text. When a file is compressed with Miliki, it is converted to the QCF format. When decompressed, the file is restored to its original format.

Storage space reduction:
Miliki minimizes storage requirements for common data formats. The Miliki Super Compressor is able to significantly compress various data formats enabling desktop or laptop users to send, receive and store email, word processing documents, presentations, spreadsheets, images of documents, digital photographs, satellite imagery, data from scientific instruments, digital engineering and architectural drawings, models.