Next stop, your seed round.
SilicoNegev, in collaboration with Tech7, MATA Foundation, Ben-Gurion University of the Negev, and the Be’er-Sheva Municipality, is the greatest convention and startup competition in the Negev, promoting tech entrepreneurship and business opportunities in a one of a kind innovation festival!
This event is all about keeping the Negev ecosystem and hi-tech scene thriving and blooming!
WHAT WE OFFER
EVERYTHING YOUR STARTUP NEEDS
TO DO WHAT IT NEEDS
Minister of Science and Technology
Former High-Tech & Social Entrepreneur & Venture Capitalist
Prof. Daniel Chamovitz
President of Ben-Gurion University of the Negev
Mayor of Be'er-Sheva
Chairman, Mata Foundation
Warm applause for 2017 winner
Consis Medical is a medical device company, devoted for the development of novel, single-use and self-propelled endoscopes.
The company's first product offers the next-generation solution for colonoscopies. Its novel technology enables colorectal professionals to perform examinations in a much more pleasant manner, while providing the clinic with a simple and cost-effective setup.
Consis Medical raised double the amount of money from the Israeli Innovation Authority, following the SilicoNegev investment.
Warm applause for 2019 winner
VBCC cools heatsink-chip interfaces to any desired temperature, is ambient-temperature independent, and requires only power without additional infrastructure. In addition, the VBCC coolant is dielectric, nontoxic, and nonflammable.
Partners & Sponsors
invested in startups
Zuta-Core has developed technology for cooling electronics. The company's vacuum-based contact cooling (VBCC) technology offers phase-change cooling without the pitfalls of pressurized gas.
Warm applause for 2018 winner
Green -Eye Technology
Green-eye uses machine learning and artificial intelligence to revolutionize the current pest control process in
The challenge in our domain is to autom
atically identify weeds from drones at a very early stage (1 inch tall).
Over the past year, Green-eye has built the largest database of weeds in the world (cataloged images)which enable our algorithms to perform high-level of accuracy using machine learning technology.
is the only company in the world who can identify weeds from drones at the species level.