GREYCORTEX WINS AGAIN AT CESA 2017

GREYCORTEX took home the top prize in its category at the Czech Finals of the 2017 Central European Startup Awards (CESA). The Czech final,  held on September 25th in Prague, recognized GREYCORTEX as the Best AI Startup in the country.
The Central European Startup Awards is a series of national events in the CEE countries, recognizing and celebrating the entrepreneurial spirit and startup ecosystems of the region. Having been successful in the AI Startup category in the Czech Republic, GREYCORTEX now competes in the Regional Finals, to be held in Sofia Bulgaria on November 23rd. GREYCORTEX was successful at least year’s Regional Final, winning “Best Newcomer” in Ljubljana, Slovenia.
A list of CESA Czech Winners in 2017 may be found at: http://centraleuropeanstartupawards.com/season-2017/czech-republic-national-winners


About Version 2 Limited
Version 2 Limited is one of the most dynamic IT companies in Asia. The company develops and distributes IT products for Internet and IP-based networks, including communication systems, Internet software, security, network, and media products. Through an extensive network of channels, point of sales, resellers, and partnership companies, Version 2 Limited offers quality products and services which are highly acclaimed in the market. Its customers cover a wide spectrum which include Global 1000 enterprises, regional listed companies, public utilities, Government, a vast number of successful SMEs, and consumers in various Asian cities.

About GREYCORTEX
GREYCORTEX uses advanced artificial intelligence, machine learning, and data mining methods to help organizations make their IT operations secure and reliable.

MENDEL, GREYCORTEX’s network traffic analysis solution, helps corporations, governments, and the critical infrastructure sector protect their futures by detecting cyber threats to sensitive data, networks, trade secrets, and reputations, which other network security products miss.

MENDEL is based on 10 years of extensive academic research and is designed using the same technology which was successful in four US-based NIST Challenges.