AI and Big data
DaBoost “parallel multi-pattern” search technology speeds up software and hardware processes in Big Data/AI for example improving performance up to 100 times quicker in unindexed searches!
DaBoost are looking for forward thinking AI and Big Data companies to develop strategic partnerships.
Email us
up to
Simultaneous unindexed searches
from
minimum pattern size
up to
maximum pattern size
DaBoost can also speed up:
- Hash shares
- Log processing
- XML parsing
- HTML parsing
- JSON parsing
The basic technology updates “one-by-one pattern scan” or “tree symbols decision” searches into “parallel multi-pattern” searches to speed up digital processes by up to 100x using faster pattern search engine based on unique smart & highly efficient dictionary technology and can handle both text and binary.
After fast identifying the file hierarchy and file sections using this technology it is much easier to parse the required sections or parallelize the sections parsing. We can make significant impacts to binary as well as text and have identified four initial major market vectors including AI/Big data, Cyber Security, DNA/NGS Sequencing and Hardware Acceleration.
This technology can be used inside communication protocols, file or stream parsing, DPI – deep packet inspection filtering and protocol stacks. Hardware modifications can increase speed even more. We currently can identify file modes but will soon be able to manage streaming and block modes.
The ongoing development of basic libraries with broad applications will be delivered along with the tools to easily integrate custom functionality. Both software and hardware companies will be able to license the technology for further development and customization.
We have a working Linux lite version library (97kb program size = 32byte search, max 100 thousand parallel searches) and the full version (200kb program size = 2Gigabyte search, max 100 million parallel searches) out in Q2 and will support Windows and Mac.
A new and exciting development is also underway to run the program in a web browser which we believe will be a game changer for us due later in 2022.
