Training Example: Mobileye – Review the Data, Give Your Score & Compare to the Real AI Evaluation

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[H1] Driving the autonomousvehicle evolution
[H1] Driving the autonomous vehicle evolution
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Featured StoriesDiagnosing the long tail: how Mobileye turns edge cases into targeted trainingRead moreMobileye Secures Major DMS Production Program with Leading U.S. AutomakerRead moreProf. Amnon Shashua at CES 2026Read moreMobileye To Acquire Mentee Robotics to Accelerate Physical AI LeadershipRead moreFeatured StoriesDiagnosing the long tail: how Mobileye turns edge cases into targeted trainingRead moreFeatured StoriesMobileye Secures Major DMS Production Program with Leading U.S. AutomakerRead moreFeatured StoriesProf. Amnon Shashua at CES 2026Read moreFeatured StoriesMobileye To Acquire Mentee Robotics to Accelerate Physical AI LeadershipRead moreItem 1 of 4DriverAssistAutonomousVehiclesExplore our solutions
[H2] Modular product portfolio
A full modular architecture that scales from today's ADAS to tomorrow's AV programs. Your browser does not support the video tag. Driver AssistAutonomous VehiclesExplore our solutions
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Purpose-builtSoC FamilyScalableby DesignCompoundAIComputerVisionLeanComputeDriving PolicyMathematicalSafety ModelExplore our technology
[H2] The autonomousfuture under one roof
Our Compound AI System blends cutting-edge AI with engineered precision to deliver safer, reliable and explainable automated driving decisions.Purpose-builtSoC FamilyScalableby DesignCompoundAIComputerVisionLeanComputeDriving PolicyMathematicalSafety Model
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Explore our technology
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[H2] Built for safety, built for scale
[H3] Getting a few self-driving vehicles onto the road isn’t enough. Everything Mobileye develops is safe-by-design, with a distinct strategy so that the technology can reach the mass market.
Your browser does not support the video tag. Your browser does not support the video tag. MunichNYCJerusalemDetroit
[H2] A self-driving vehiclethat drives betterthan a natural.
[H3] Integrating seamlessly into the fabric of urban life, the AV is remarkably natural, handling very challenging maneuvers smoothly.
Whether it’s a round-about in Paris, rush hour traffic in New York, or the high speeds of the Autobahn, AVs need to excel in everyday challenges on roads around the world. We’ve built an AV that is seamlessly integrating into traffic in Munich, Paris, Detroit, Jerusalem, New York, Tokyo, and other cities across the globe.
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Watch rides in the Mobileye AV
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[H2] Built for safety,built for scale
[H3] Getting a few self-driving vehicles onto the road isn’t enough. Everything Mobileye develops is safe-by-design, with a distinct strategy so that the technology can reach the mass market.
Your browser does not support the video tag. Your browser does not support the video tag. MunichNYCJerusalemDetroit
[H2] A self-driving vehiclethat drives betterthan a natural.
[H3] Integrating seamlessly into the fabric of urban life, the AV is remarkably natural, handling very challenging maneuvers smoothly.
Whether it’s a round-about in Paris, rush hour traffic in New York, or the high speeds of the Autobahn, AVs need to excel in everyday challenges on roads around the world. We’ve built an AV that is seamlessly integrating into traffic in Munich, Paris, Detroit, Jerusalem, New York, Tokyo, and other cities across the globe.
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Watch rides in the Mobileye AV
[H3] Driving AI
for autonomy at scaleMobileye builds AI driving systems that are pragmatic, lean, adaptable and safe to help the world's leading automakers launch ADAS products all the way to driverless mobility solutions built on deployable AI.Learn moreCompanyAboutLeadershipAmnon ShashuaInvestorsESGCareersContact UsSolutionsMobileye ADASMobileye SuperVision™Mobileye Chauffeur™Mobileye Drive™EyeQ Kit™FleetsTechnologyEyeQ™ System-on-ChipTrue Redundancy™Road Experience Management™Responsibility-Sensitive SafetySafety MethodologyCEO CornerNewsroomBlogNewsLegalTerms of UseCandidate Privacy NoticeSecurity & CompliancePrivacy and Your InformationCookies NoticeUse of Logo & MarksSite MapSupport
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© 2026 Mobileye
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© 2026 Mobileye

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[H1] Leading the evolutionfrom assisted to autonomous driving
[H3] From a variety of ADAS solutions to a self-driving system for autonomous publictransport or goods delivery, all the way to consumer AVs
[H3] From a variety of ADAS solutions to a self-driving system for autonomous public transport or goods delivery, all the way to consumer AVs
NOW. NEXT. BEYOND.
[H2] Our tech for the futuredrives the market today
[H2] Our tech for thefuture drives themarket today
The mobility industry is changing rapidly, with once revolutionary safety features becoming standard, and self-driving systems and mobility solutions beginning to roll out across the globe.With our inherently scalable technological backbone, Mobileye offers solutions to enhance safety in today’s mass market consumer vehicles and for the cutting-edge of premium driver-assist. Mobileye’s innovative self-driving system can be implemented to disrupt various industries by turning them autonomous, all the way to fully self-driving vehicles and robotaxis.
[H3] Explore the broad spectrum of Mobileye solutions below
DriverAssistAutonomousVehicles
[H3] Explore the broad spectrum of Mobileye solutions below
Driver AssistAutonomous Vehicles
[H3] MobileyeAdvanced DriverAssist (ADAS)
More about the ADAS spectrum
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Mobileye Base ADAS
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EyeQ4 Mid, EyeQ5 Mid,EyeQ 6 Lite
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Front CameraMobileye's Base Driver Assist efficiently maximizes the power of a single forward-facing camera together with our purpose-built EyeQ system-on-chip. This solution is already in millions of vehicles on the road today and provides cost-effective features for regulatory compliance and improved road safety.
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Cloud-Enhanced ADAS™
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EyeQ4 Mid, EyeQ5 Mid,EyeQ 6 Lite
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Front Camera
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REMMobileye Cloud-Enhanced ADAS™ leverages crowdsourced data from millions of Mobileye-equipped vehicles around the globe every day, providing centimeter-level localization through continuously updated information about the driving scene.
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Mobileye Surround ADAS™
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EyeQ6 High
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Surround cameras and radars
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REM
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RSSMobileye Surround ADAS™ integrates multi-sensor fusion, combining cameras and radars with our most powerful SoC to date, the EyeQ6H. Designed for superior performance, it enhances safety and comfort.
[H3] MobileyeSuperVision™
More about SuperVision™
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2 x EyeQ5 Highor 2 x EyeQ6 High SoC
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360º Camera
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REM
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RSSMobileye SuperVision™ is our most advanced driver-assist system on the market and the ‘bridge’ to consumer AVs. It is designed to handle standard driving functions across various road types, offering the “hands-off” navigation capabilities of an autonomous vehicle, while still requiring the driver to pay full attention and keep eyes on the road.
[H3] MobileyeChauffeur™
More about Chauffeur™
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3 x EyeQ6Hor 4 x EyeQ6H
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360º Camera
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360 Imaging RadarsFront Lidar
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REM
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RSSMobileye Chauffeur™ is our geographically scalable hands-off/eyes-off solution for consumer vehicles, combining computer vision technology with surround imaging radars and front lidar.
[H3] MobileyeDrive™
More about Drive
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8 x EyeQ5Hor 4 x EyeQ6H
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360º Camera
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360 Imaging RadarsFront Lidar
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REM
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RSSMobileye Drive™ is our end-to-end self-driving system that enables automakers and transportation operators to offer a no-driver solution for robotaxis, ride-pooling, public transport, and goods delivery.
[H3] MobileyeAdvanced DriverAssist (ADAS)
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Mobileye Base ADAS
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EyeQ4 Mid, EyeQ5 Mid,EyeQ 6 Lite
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Front CameraMobileye's Base Driver Assist efficiently maximizes the power of a single forward-facing camera together with our purpose-built EyeQ system-on-chip. This solution is already in millions of vehicles on the road today and provides cost-effective features for regulatory compliance and improved road safety.
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Cloud-Enhanced ADAS™
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EyeQ4 Mid, EyeQ5 Mid,EyeQ 6 Lite
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Front Camera
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REMMobileye Cloud-Enhanced ADAS™ leverages crowdsourced data from millions of Mobileye-equipped vehicles around the globe every day, providing centimeter-level localization through continuously updated information about the driving scene.
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Mobileye Surround ADAS™
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EyeQ6 High
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Surround cameras and radars
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REM
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RSSMobileye Surround ADAS™ integrates multi-sensor fusion, combining cameras and radars with our most powerful SoC to date, the EyeQ6H. Designed for superior performance, it enhances safety and comfort.More about the ADAS spectrum
[H3] MobileyeSuperVision™
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2 x EyeQ5 Highor 2 x EyeQ6 High SoC
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360º Camera
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REM
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RSSMobileye SuperVision™ is our most advanced driver-assist system on the market and the ‘bridge’ to consumer AVs. It is designed to handle standard driving functions across various road types, offering the “hands-off” navigation capabilities of an autonomous vehicle, while still requiring the driver to pay full attention and keep eyes on the road.More about SuperVision™
[H3] MobileyeChauffeur™
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3 x EyeQ6Hor 4 x EyeQ6H
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360º Camera
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360 Imaging RadarsFront Lidar
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REM
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RSSMobileye Chauffeur™ is our geographically scalable hands-off/eyes-off solution for consumer vehicles, combining computer vision technology with surround imaging radars and front lidar.More about Chauffeur™
[H3] MobileyeDrive™
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8 x EyeQ5Hor 4 x EyeQ6H
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360º Camera
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360 Imaging RadarsFront Lidar
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REM
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RSSMobileye Drive™ is our end-to-end self-driving system that enables automakers and transportation operators to offer a no-driver solution for robotaxis, ride-pooling, public transport, and goods delivery.More about DriveCompanyAboutLeadershipAmnon ShashuaInvestorsESGCareersContact UsSolutionsMobileye ADASMobileye SuperVision™Mobileye Chauffeur™Mobileye Drive™EyeQ Kit™FleetsTechnologyEyeQ™ System-on-ChipTrue Redundancy™Road Experience Management™Responsibility-Sensitive SafetySafety MethodologyCEO CornerNewsroomBlogNewsLegalTerms of UseCandidate Privacy NoticeSecurity & CompliancePrivacy and Your InformationCookies NoticeUse of Logo & MarksSite MapSupport
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© 2026 Mobileye
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[IMG: Mobileye]
© 2026 Mobileye

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[H1] We don’t just apply AI.We innovate it, engineer it,and shape it for the road.
[H1] We don’t just apply AI.We innovate it, engineer it,and shape it for the road.
[H3] Mobileye developed a layered AI system purpose built for safety, performance and scale, validated across millions of real-world miles.
[H3] "There are five building blocks to revolutionize transportation: safety, a robust technology stack, global scalability, real-world execution, and consumer-level cost. It’s not just about a demo — it’s about delivering high-precision autonomy at scale."
Prof. Amnon ShashuaCEO and Founder, MobileyeCAMERA SYSTEM VIEWRADAR & LIDAR SYSTEM VIEW
[H2] Mappingfor the new worldof self-driving cars
[H2] All at once, in real time
[H3] For self-driving cars to understand and navigate within their environment,the maps on your smartphone won’t cut it.We’ve determined what information the AV needs in a map, and what it doesn’t.By leveraging the wisdom of the Mobileye-equipped crowd,our map has the driving insights derived from millions of real-life roadscenarios. And it’s continuously updated.
Dig deeper
[H2] Mappingfor the new worldof self-driving cars
[H2] All at once,in real time
[H3] For self-driving cars to understand and navigate within their environment, the maps on your smartphone won’t cut it. We’ve determined what information the AV needs in a map, and what it doesn’t. By leveraging the wisdom of the Mobileye-equipped crowd,our map has the driving insights derived from millions of real-life road scenarios. And it’s continuously updated.
Dig deeper
[H2] Can AV safety bedefined mathematically?We believe so
Society has defined what it means for humans to drive safely. To get autonomous vehicles on the road, we need to do the same.Read more
[H2] It all comes down to safety
Learn more about our safety methodology and how it reframes critical issues.Explore our safety methodologyCompanyAboutLeadershipAmnon ShashuaInvestorsESGCareersContact UsSolutionsMobileye ADASMobileye SuperVision™Mobileye Chauffeur™Mobileye Drive™EyeQ Kit™FleetsTechnologyEyeQ™ System-on-ChipTrue Redundancy™Road Experience Management™Responsibility-Sensitive SafetySafety MethodologyCEO CornerNewsroomBlogNewsLegalTerms of UseCandidate Privacy NoticeSecurity & CompliancePrivacy and Your InformationCookies NoticeUse of Logo & MarksSite MapSupport
[IMG: Mobileye]
© 2026 Mobileye
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© 2026 Mobileye

[H1] Driven by Vision
[H3] Mobileye is driving the global evolution toward smarter, safer mobility by combining pioneering AI, extensive real-world experience and a practical vision for the advanced driving systems of today and the autonomous mobility of tomorrow.
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THE BEGINNINGFounding & Early LeadershipMobileye was founded in 1999, by Prof. Amnon Shashua, when he evolved his academic research at the Hebrew University of Jerusalem into a monocular vision system to detect vehicles using only a camera and software algorithms on a processor. The inception of the company followed Shashua’s connections with the auto manufacturers through his previous startup Cognitens. Following a critical meeting with an Asian OEM, which secured funding for a concept demo, Shashua formed a team with two of his close friends, Ziv Aviram and Norio Ichihashi. Shashua and Aviram became a two-in-the-box in managing the new startup where Aviram was responsible for the operations, finance and investor relations and Shashua for the technology, R&D, and the strategic vision of the company. The two-in-the-box arrangement continued through taking the company public on the New York Stock Exchange in 2014, and until 2017, when Mobileye was acquired by Intel Corp. After the acquisition, Aviram retired and Shashua took over the CEO position. Ichihashi was responsible for the Asian market which was the first engagement market with OEMs and Tier-1s, until 2001.It was at that time when Dr. Gideon Stein, who had recently completed his doctoral studies at MIT under Shashua’s co-supervision, was called to lead the R&D of Mobileye. In 2005, Dr. Gaby Hayon took over R&D, a position he held until 2025, while Stein served as Chief Scientist until 2019.
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NEXT STEPSThe Birth of EyeQ™In 2001, Mobileye's leadership realized that designing a full System-on-Chip dedicated to the massive computational loads of the computer vision stack was the way to realize the company’s full potential. At that time, most companies focused on hardware or software and did not design both simultaneously and in concert. This was considered a rather radical and even risky decision, but Mobileye’s leadership felt it was critical in order to achieve their ambitious goals. To tackle this challenge, Elchanan Rushinek joined the executive team to form and lead Mobileye's SoC design team. The first SoC, EyeQ1 running on 180 nanometer process, was sampled in 2004. Today, six EyeQ™ generations and more than 200 million EyeQ™ chips later, Rushinek is still running Engineering at Mobileye.
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THE BIG LEAPFrom ADAS to AV and BackWhen the company was founded, the category of advanced driver assistance systems (ADAS) was in its infancy and the industry was dominated by the belief that expensive radar sensors were necessary in order to perform the necessary functions, or at the very least two cameras (stereo vision) that utilize traditional triangulation methods to calculate range and velocity. Based on his pioneering academic research, Shashua proved that critical safety functions such as Automatic Emergency Braking (AEB) and basically all perception tasks could be achieved using a single camera (mono vision). The ability to combine those revolutionary algorithms with a custom-designed and highly efficient EyeQ™ SoC mounted on the windshield was a true game changer for the industry, making ADAS relevant for the mass market. From that point on, Mobileye established many industry firsts and pioneered many of the vision-based ADAS functions prevalent today.After becoming a world leader in computer vision for ADAS, around 2013, Mobileye came to the understanding that the ADAS technology it had been developing made up some of the crucial building blocks needed to develop a fully autonomous car, and began pursuing this in earnest. It was at that time that Prof. Shai Shalev-Shwartz, a close friend, colleague and research partner of Shashua joined Mobileye in a full-time capacity. In 2019, Shalev-Shwartz became the CTO of Mobileye – a position he holds to this day.Graduating from ADAS to AV did not only require additional sensors and more advanced algorithms; it also required solving the industry-wide challenges of regulating AV safety, creating HD maps for AVs at scale, and driving down the cost of the hardware needed for each vehicle – all areas where Mobileye is a leader in the industry by tackling the challenges of scale head on. In the area of defining safety for AVs, Shalev-Shwartz and Shashua co-authored a seminal research paper about a new formal model for defining what safety means in the context of making driving decisions. The model, called Responsibility-Sensitive-Safety (RSS), has gained momentum with industry and regulatory bodies for defining the assumptions, in a mathematical form, that drivers make in balancing safety and utility while providing formal guarantees against causing an accident. RSS also became the backbone of Mobileye’s “driving policy” by replacing “predictions” that classical robotics-inspired policy algorithms rely on – while consuming huge computational resources – with “intentions” that require a fraction of the computational capacity.Additionally, Mobileye’s AV mapping technology – Road Experience Management™ – utilizes Mobileye’s computer vision expertise to create a highly compelling solution for cost effective and geographically scalable mapping. REM™ leverages the global crowd of Mobileye-equipped vehicles to collect relevant data from the road, and send it to the cloud at very low bandwidth, automatically creating a map of the world for AVs.Since the acquisition by Intel, Mobileye has experienced vast growth. In March 2017, Mobileye had over 750 employees, whereas today there are over 2500 employees in a full-time capacity. Revenue as well went from just over $350 million at the end of 2016, to close to $1B at the end of 2020, and during the first nine months of 2021 ending September, the year-on-year revenue growth stood at 62%.Today, the company offers a variety of autonomous mobility solutions all alongside its significant ADAS business. In fact, the ADAS business has significantly benefited from having R&D for autonomous driving under the same roof. Most notably, based on its computer vision expertise, Mobileye has built a fully autonomous vehicle which can drive on cameras alone. This 11-camera subsystem has now been productized into the ADAS realm, offering one of the world’s leading premium driver-assist solutions for a variety of hands-free driving functions: Mobileye SuperVision™. The first vehicle equipped with Mobileye SuperVision™ is already in production today with the Geely group. In this way, Mobileye has come full circle from a leader in the ADAS revolution, to leading the ADAS evolution to autonomous driving, offering a suite of mature solutions from basic driver-assist to premium driver assist, to fully autonomous, working toward safer and smarter mobility for more people each day.To view Mobileye’s ISO 9001 certificate, please click here. Your browser does not support the video tag. THE BEGINNING
[H3] Founding & Early Leadership
Mobileye was founded in 1999, by Prof. Amnon Shashua, when he evolved his academic research at the Hebrew University of Jerusalem into a monocular vision system to detect vehicles using only a camera and software algorithms on a processor. The inception of the company followed Shashua’s connections with the auto manufacturers through his previous startup Cognitens. Following a critical meeting with an Asian OEM, which secured funding for a concept demo, Shashua formed a team with two of his close friends, Ziv Aviram and Norio Ichihashi. Shashua and Aviram became a two-in-the-box in managing the new startup where Aviram was responsible for the operations, finance and investor relations and Shashua for the technology, R&D, and the strategic vision of the company. The two-in-the-box arrangement continued through taking the company public on the New York Stock Exchange in 2014, and until 2017, when Mobileye was acquired by Intel Corp. After the acquisition, Aviram retired and Shashua took over the CEO position. Ichihashi was responsible for the Asian market which was the first engagement market with OEMs and Tier-1s, until 2001.It was at that time when Dr. Gideon Stein, who had recently completed his doctoral studies at MIT under Shashua’s co-supervision, was called to lead the R&D of Mobileye. In 2005, Dr. Gaby Hayon took over R&D, a position he held until 2025, while Stein served as Chief Scientist until 2019.
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NEXT STEPS
[H3] The Birth of EyeQ™
In 2001, Mobileye's leadership realized that designing a full System-on-Chip dedicated to the massive computational loads of the computer vision stack was the way to realize the company’s full potential. At that time, most companies focused on hardware or software and did not design both simultaneously and in concert. This was considered a rather radical and even risky decision, but Mobileye’s leadership felt it was critical in order to achieve their ambitious goals. To tackle this challenge, Elchanan Rushinek joined the executive team to form and lead Mobileye's SoC design team. The first SoC, EyeQ1 running on 180 nanometer process, was sampled in 2004. Today, six EyeQ™ generations and more than 200 million EyeQ™ chips later, Rushinek is still running Engineering at Mobileye.
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THE BIG LEAP
[H3] From ADAS to AV and Back
When the company was founded, the category of advanced driver assistance systems (ADAS) was in its infancy and the industry was dominated by the belief that expensive radar sensors were necessary in order to perform the necessary functions, or at the very least two cameras (stereo vision) that utilize traditional triangulation methods to calculate range and velocity. Based on his pioneering academic research, Shashua proved that critical safety functions such as Automatic Emergency Braking (AEB) and basically all perception tasks could be achieved using a single camera (mono vision). The ability to combine those revolutionary algorithms with a custom-designed and highly efficient EyeQ™ SoC mounted on the windshield was a true game changer for the industry, making ADAS relevant for the mass market. From that point on, Mobileye established many industry firsts and pioneered many of the vision-based ADAS functions prevalent today.After becoming a world leader in computer vision for ADAS, around 2013, Mobileye came to the understanding that the ADAS technology it had been developing made up some of the crucial building blocks needed to develop a fully autonomous car, and began pursuing this in earnest. It was at that time that Prof. Shai Shalev-Shwartz, a close friend, colleague and research partner of Shashua joined Mobileye in a full-time capacity. In 2019, Shalev-Shwartz became the CTO of Mobileye – a position he holds to this day.Graduating from ADAS to AV did not only require additional sensors and more advanced algorithms; it also required solving the industry-wide challenges of regulating AV safety, creating HD maps for AVs at scale, and driving down the cost of the hardware needed for each vehicle – all areas where Mobileye is a leader in the industry by tackling the challenges of scale head on. In the area of defining safety for AVs, Shalev-Shwartz and Shashua co-authored a seminal research paper about a new formal model for defining what safety means in the context of making driving decisions. The model, called Responsibility-Sensitive-Safety (RSS), has gained momentum with industry and regulatory bodies for defining the assumptions, in a mathematical form, that drivers make in balancing safety and utility while providing formal guarantees against causing an accident. RSS also became the backbone of Mobileye’s “driving policy” by replacing “predictions” that classical robotics-inspired policy algorithms rely on – while consuming huge computational resources – with “intentions” that require a fraction of the computational capacity.Additionally, Mobileye’s AV mapping technology – Road Experience Management™ – utilizes Mobileye’s computer vision expertise to create a highly compelling solution for cost effective and geographically scalable mapping. REM™ leverages the global crowd of Mobileye-equipped vehicles to collect relevant data from the road, and send it to the cloud at very low bandwidth, automatically creating a map of the world for AVs.Since the acquisition by Intel, Mobileye has experienced vast growth. In March 2017, Mobileye had over 750 employees, whereas today there are over 2500 employees in a full-time capacity. Revenue as well went from just over $350 million at the end of 2016, to close to $1B at the end of 2020, and during the first nine months of 2021 ending September, the year-on-year revenue growth stood at 62%.Today, the company offers a variety of autonomous mobility solutions all alongside its significant ADAS business. In fact, the ADAS business has significantly benefited from having R&D for autonomous driving under the same roof. Most notably, based on its computer vision expertise, Mobileye has built a fully autonomous vehicle which can drive on cameras alone. This 11-camera subsystem has now been productized into the ADAS realm, offering one of the world’s leading premium driver-assist solutions for a variety of hands-free driving functions: Mobileye SuperVision™. The first vehicle equipped with Mobileye SuperVision™ is already in production today with the Geely group. In this way, Mobileye has come full circle from a leader in the ADAS revolution, to leading the ADAS evolution to autonomous driving, offering a suite of mature solutions from basic driver-assist to premium driver assist, to fully autonomous, working toward safer and smarter mobility for more people each day.To view Mobileye’s ISO 9001 certificate, please click here. Your browser does not support the video tag. Item 1 of 3
[H3] Key milestones
Moments on Mobileye’s road to the autonomous future1999Mobileye founded2007First EyeQ™ chip shipped20121 Millionth EyeQ™ chipshipped2014Mobileye goes public onNYSE at $5.3B Val2015Mobileye in 160 car modelsacross 25 automakers2017Mobileye acquired by Intelfor $15.3B2018Mobileye begins crowd-sourcing map data globally2021AV testing on threecontinents2021100 millionth EyeQ™shipped2022Mobileye goes publicagain on NASDAQ with a$16.7B valuation2024200 millionth EyeQ™shipped1999Mobileye founded2007First EyeQ™ chip shipped20121 Millionth EyeQ™ chipshipped2014Mobileye goes public onNYSE at $5.3B Val2015Mobileye in 160 car modelsacross 25 automakers2017Mobileye acquired by Intelfor $15.3B2018Mobileye begins crowd-sourcing map data globally2021AV testing on threecontinents2021100 millionth EyeQ™shipped2022Mobileye goes publicagain on NASDAQ with a$16.7B valuation2024200 millionth EyeQ™shippedItem 1 of 11
[H3] Driven