0
Score
AI Technology Score
90%
Funding Score
60%
Founders Score
48%

Business Overview

Active
Status
2016
Total Founded
199
# Employees
$196M
Funding
6
# Rounds
UVeye is a computer vision tech company that develops automated inspection systems for vehicles, powered by artificial intelligence and proprietary hardware. Founded in 2016 by Amir and Ohad Hever, our systems have been installed at 100+ sites, including vehicle manufacturers, dealerships, fleet companies, logistical centers, energy, financial, diplomatic, and other sensitive security facilities. In 2019, Toyota Tsusho and Volvo headlined a $31M Series B, joining W.R. Berkley and F.I.T Ventures. In 2021, UVeye secured its Series C round from strategic investors like CarMax and Hyundai Motors, bringing UVeye to a grand total of over $90M in investment capital.As of March 2022, Volvo announced an expansion to their partnership with a long-term program aiming to install UVeye devices in all of its North American dealerships.Each day we are making an impact with technology by harnessing the power of AI to detect vehicle issues or security-related threats in the undercarriage before they cause fatalities. Our mission, every day, is to raise the standard of vehicle inspections to help create better mobility and safer roads.
AutomotiveIndustrialTransport and LogisticsInspectionVehicle Security
B2BB2G
HardwareSoftware

Employee Count

4.4%
1M CAGR
13.1%
3M CAGR
25.9%
6M CAGR

Stock Chart

Founders

NamePositionMilitaryClassificationContact
hidden22…
COO
hidden22…
CSO
hidden22…
CEO

AI Team

NamePosition
hidden68…
Product Manager @ UVeye – Product Strategy & Lifecycle Management – Algorithm Dev. – Deep Learning
hidden68…
Computer Vision Algorithm Engineer
hidden68…
Computer Vision Algorithm Engineer
hidden68…
Algorithm Team Leader at UVeye
hidden68…
Senior Software Developer presso UVeye
hidden68…
Computer Vision & Deep Learning Algorithm Developer at UVeye
hidden68…
Software Developer
hidden68…
Software Engineer at UVeye
hidden68…
Computer Vision Engineer
hidden68…
Director of HW & System RnD at UVEye
hidden68…
Senior Software Engineer at UVeye
hidden68…
Algorithm Engineer at UVeye
hidden68…
Algorithm Engineer
hidden68…
System Architect at UVeye
hidden68…
DevOps Engineer
hidden68…
Deep Learning Engineer at UVeye
hidden68…
MLOps Team Lead at UVEye
hidden68…
Data Science RND & Computer Science M.s.c student
hidden68…
Full stack developer at UVeye
hidden68…
Computer Vision Algorithms Engineer at UVeye
hidden68…
Algorithm Engineer
hidden68…
Software Engineer at UVeye
hidden68…
Head of Algorithms & AI at UVeye
hidden68…
Algorithm Engineer. B.Sc. Physics, B.Sc. Electrical Engineering

Board and Advisors

Revenue

Funding Rounds

RoundDateCapital RaisedValuationInvestors
May 2023
hidden$100M
$800M
5
June 2022
1
July 2021
hidden$60M
6
January 2021
hidden$4.5M
1
June 2019
hidden$31M
4
June 2017
hidden$4.5M
3

Exits and M&A

Investors

InvestorInvestor TypeLocationPortfolio
hidden93204
Venture CapitalIsrael38
hidden93281
Venture CapitalIsrael18
hidden93248
CompanySouth Korea12
hidden13…
PensionIsrael11
hidden18…
Investment FirmIsrael9
hidden93642
Investment FirmIsrael9
hidden94443
Corporate Venture CapitalJapan2
hidden35…
Corporate Venture CapitalUnited States2
hidden20…
CompanyUnited States1
hidden94471
CompanyUnited States1

Patents

Research

Certifications & Approvals

AI Technology Stack

24
# AI Employees
At UVeye we use deep learning in order to detect anomalies (whether threats or safety/mechanical issues) in all types of vehicles (which change and vary from case to case). This is led by technology which knows how to compare similar undercarriages and vehicle areas although there are environmental differences – while learning how any type of threats or issues can be placed in a vehicle (shapes, sizes, weight and more).
Machine LearningDeep LearningComputer Vision
ClusteringNeural NetworksRepresentation LearningSimilarity and Metric Learning
CPUGPU
CaffeKerasPytorchTensorFlowTorch

Jobs

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