iHLS Startup Accelerator · raw details

Tel Aviv-Yafo, Israel · Founded 2016

About

iHLS Startup Accelerator focuses on start-ups with innovative technologies from various security-related fields, especially dual-purpose technologies. Relevant fields include homeland security, big data, internet of things, unmanned systems, robotics, cyber, border security and defense, strategic installation security, deep learning, nanotechnology, electro-optics, civilian security, aerodynamics, video analytics, image processing, facial recognition, aerial defense, safe/smart cities, augmented and virtual reality, and training and simulation. iHLS Startup Accelerator is dedicated to the advancement and empowerment of technological projects through a development and maturation process designed to make the startups participating into successful companies. The program offers the startups exposure in various conferences held by iHLS, meetings with representatives of companies, investors and delegations from across the globe and mentors from the industry. The accelerator is sponsored by IAI, Elbit Systems, Incubit (Elbit Systems Incubator), Raytheon, Verint, PwC, APM Law Firm, and Cyient.

Identity

NameiHLS Startup Accelerator
Slugihls-startup-accelerator
Type / kindvc
Source _idagxzfmlsbGlzdHNpdGVyGAsSC05ld19Db21wYW55GICAoPCly4MKDA

Status

Statusactive
Last update2026-05-17

Location

HQ countryIsrael
HQ country codeIL
HQ cityTel Aviv-Yafo
HQ addressHabarzel 30, Tel Aviv, Israel

Web & social

Websitehttps://accelerator.i-hls.com/
Twitter / Xhttps://twitter.com/Ihls1
Facebookhttps://www.facebook.com/israelhls
YouTubehttps://www.youtube.com/c/ihlsisraelhomelandsecurity

Classifications

Tags
video-analyticsdefenseblockchainiotquantum-computingmachine-learningunmanned-aerial-vehicleimage-processingroboticssmart-cityvirtual-realitybig-data-analyticsbiometricsincident-responseborder-securitydeep-learningaugmented-realitypublic-safetyartificial-intelligenceelectro-opticsnanotechnologyhomeland-securityface-recognitioncyber-security

Funding

Total raised

Raw source document

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