GREYCORTEX took home the top prize in its category at the 2016 Central European Startup Awards (CESA) Grand Finale. The Grand Finale, held on December 1st in in Ljubljana, Slovenia, recognized GREYCORTEX as having the most promising growth ahead of startups from nine other Central European countries including Austria, Poland, and Slovakia.
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. CESA regional winners must first win their category in their home country to be eligible for the regional title. Regional winners, like GREYCORTEX, are automatically shortlisted for the World Startup Awards, held this year in Kuala Lumpur, Malaysia.
A list of CESA Grand Finale Winners in 2016 may be found at: http://centraleuropeanstartupawards.com/cesa-2016-winners
About Version 2
Version 2 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 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.
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.