InNegev

InNegev is a technology incubator located in Rahat, Israel, established in 2020. It is dedicated to fostering innovation within the Negev region by supporting early-stage startups in sectors such as Agtech, Cleantech, Foodtech, and Industry 4.0. InNegev operates under the Israeli Innovation Authority's Peripheral Incubators Program and represents a collaborative effort among various industrial, academic, and financial institutions. The incubator provides a robust support framework that includes professional mentoring and a range of comprehensive services aimed at helping startups develop cutting-edge products, processes, and materials from concept to market. Its focus areas also encompass climate technology, sustainability, water management, energy efficiency, and circular economy initiatives, contributing to a vibrant ecosystem for innovation and growth.

Arnon Colombus

CEO

2 past transactions

SightBit

Seed Round in 2023
Sightbit Ltd, based in Beersheba, Israel, specializes in visual intelligence technology aimed at enhancing safety around open water. The company leverages artificial intelligence and image recognition to develop solutions that provide real-time data on swimmer locations, changing environmental conditions, and potential hazards. Its proprietary deep-learning models enable capabilities such as object detection, drowning detection, and hazard prediction. By instantly alerting lifeguards to threats, Sightbit enhances their ability to initiate rapid rescues and prevent dangerous situations from escalating. The technology also includes a desktop application that displays warnings and alerts to ensure timely responses from lifeguards and emergency services.

SightBit

Pre Seed Round in 2020
Sightbit Ltd, based in Beersheba, Israel, specializes in visual intelligence technology aimed at enhancing safety around open water. The company leverages artificial intelligence and image recognition to develop solutions that provide real-time data on swimmer locations, changing environmental conditions, and potential hazards. Its proprietary deep-learning models enable capabilities such as object detection, drowning detection, and hazard prediction. By instantly alerting lifeguards to threats, Sightbit enhances their ability to initiate rapid rescues and prevent dangerous situations from escalating. The technology also includes a desktop application that displays warnings and alerts to ensure timely responses from lifeguards and emergency services.
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