Nexar · raw details

Community-based AI Dashcam App · Tel Aviv-Yafo · Founded 2015

active Series D ← back to profile

Highlights

1 patentProfile claimed by owner

About

Community-based AI Dashcam App

Nexar offers smart dash cams connected to a mobile app, designed to provide drivers with greater safety and security on the road. These dash cams use AI technology to analyze road conditions, detect critical situations like collisions or sudden stops, and even offer features like parking mode and recording drives. The data captured by Nexar’s dash cams can be used for a variety of purposes, including evidence in case of accidents, monitoring driving habits, and more.

Identity

NameNexar
Slugnexar
Type / kindstartup
Crunchbase IDnexar-2
Source _idagxzfmlsbGlzdHNpdGVyGAsSC05ld19Db21wYW55GICAgL6s38MKDA

Status

Statusactive
Last update2026-05-17

Location

HQ country codeIL
HQ region/districtCenter District
HQ cityTel Aviv-Yafo
HQ addressHa-Rakevet Street 58, Tel Aviv, Israel

Web & social

Websitehttps://www.getnexar.com
Careers pagehttps://www.getnexar.com/careers
LinkedInhttps://www.linkedin.com/company/10460529
Twitter / Xhttps://twitter.com/getnexar
Facebookhttps://www.facebook.com/getnexar
YouTubehttps://www.youtube.com/channel/UCYCw32rQ8sQ-aghqj_DEr5w
Instagramhttps://www.instagram.com/getnexar

Classifications

Primary sector Automotive & Mobility Technologies
Sub-sectors
Automotive & Mobility TechnologiesAutonomous & ConnectedFintech & InsurtechInsurtech
Technologies
Platforms & InterfacesMobileArtificial IntelligenceComputer Vision
Target customers
Government & CityMunicipalitiesConsumersTransportation & MobilityDriversFinancial ServicesFinancial ProductsInsurance
Business models
B2CB2GB2BB2B2C
Tags
driverscomputer-visionsocial-platformautomotivecrowdsourcingvideo-analyticssmart-cityclaim-managementcamerasartificial-intelligencemobile-applicationsinsurance-companiesconnected-vehiclescloud-basedlocalizationsensorsinsurtechparkingroad-safetysmart-mobility

Funding

Total raised$149.9M
Current stageSeries D

Raw source document

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