Ride Vision · raw details

Collision Avoidance Technology for Motorcycles · Herzliya · Founded 2018

active Series A ← back to profile

About

Collision Avoidance Technology for Motorcycles

Ride Vision develops an automated driver assistance system designed specifically for motorcycles, utilizing advanced computer vision and AI algorithms. Its Collision Aversion Technology (CAT) is a fusion of artificial intelligence (neural networks) and computer vision designed to seamlessly integrate with the motorcycles, utilizing only standard cameras as visual sensors. CAT recognizes and analyzes only relevant threats without the need for expensive hardware and without disturbing the rider's focus. CAT footage analysis is built to use any sensor available on a motorcycle, significantly reducing production cost and providing freedom of modularity to manufacturers. CAT and its continuous data analysis provide predictive vision with unprecedented, affordable road control and safety for every rider on any motorcycle.

Identity

NameRide Vision
Slugride-vision
Type / kindstartup
Crunchbase IDridevision
Source _idagxzfmlsbGlzdHNpdGVyGAsSC05ld19Db21wYW55GICAoNHE7rwLDA

Status

Statusactive
Last update2026-05-17

Location

HQ country codeIL
HQ region/districtCenter District
HQ cityHerzliya
HQ addressGalgalei ha-Plada St 11, Herzliya, Israel

Web & social

Websitehttps://ride.vision
Careers pagehttps://ride.vision/careers
LinkedInhttps://www.linkedin.com/company/18492958
Twitter / Xhttps://twitter.com/ride_vision
Facebookhttps://www.facebook.com/ridevision
YouTubehttps://www.youtube.com/channel/UCOEUDmDHIaDWNcKywqmVHwg
Instagramhttps://www.instagram.com/ride_vision

Classifications

Primary sector Automotive & Mobility Technologies
Sub-sectors
Automotive & Mobility TechnologiesAutonomous & Connected
Technologies
Artificial IntelligenceComputer Vision
Target customers
Commerce & RetailDistribution ChannelsDistributorBrick & MortarConsumersTransportation & MobilityDriversFinancial ServicesFinancial ProductsInsurance
Business models
B2BB2B2C
Tags
sensorssmart-mobilitydriversartificial-intelligenceroad-safetydriver-safetyautomotivesafetyadascomputer-visiondata-analytics

Funding

Total raised$9.5M
Current stageSeries A

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