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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

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EVERYTHING YOUR STARTUP NEEDS

TO DO WHAT IT NEEDS 

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MAGNETIC FORCE

Izhar Shay
Minister of Science and Technology
Former High-Tech & Social Entrepreneur & Venture Capitalist
Prof. Daniel Chamovitz
President of Ben-Gurion University of the Negev
Ruvik Danilovich
Mayor of Be'er-Sheva
Gideon Shavit
Chairman, Mata Foundation

Warm applause for 2017 winner

Consis Medical

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

Zutacore

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.

Organizers

Partners & Sponsors

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SUCCESS STORIES

$600,000

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.

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Warm applause for 2018 winner

Green -Eye Technology

Green-eye uses machine learning and artificial intelligence to revolutionize the current pest control process in

agriculture.

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.

Green-eye

is the only company in the world who can identify weeds from drones at the species level.