Biggest changeKey provisions of the Master Transaction Agreement include: we will provide Intel, after the date that is 180 days after the closing of the Mobileye IPO or such earlier date as provided in the Master Transaction Agreement, with certain registration rights to register our common stock, because the shares of our common stock held by Intel after the Mobileye IPO are “restricted securities” as defined in Rule 144 under the Securities Act; we will cooperate with Intel, at its request, to accomplish a distribution by Intel of our common stock to Intel stockholders which is intended to qualify as a distribution under Section 355 of the Code, or any corresponding provision of any successor statute, and we have agreed to promptly take any and all actions reasonably necessary or desirable to effect any such distribution, in which Intel will determine, in its sole and absolute discretion, whether to proceed with all or part of the distribution, the date of the distribution and the form, structure and all other terms of any transaction to effect the distribution; so long as Intel beneficially owns at least 20% of our common stock, we will sell Intel our commercially available products, including EyeQ ® SoCs, for internal use, but not for resale on a standalone or bundled basis; we and Intel agree to hold the other in most favored status with respect to products purchased or sold for internal use, meaning that the product prices, terms, warranties and benefits provided between us and Intel shall be comparable to or better than the equivalent terms being offered by the party providing the products to any single, present customer of such party; we have granted Intel a continuing right to purchase from us shares of Class A common stock or Class B common stock as is necessary for Intel to maintain an aggregate ownership interest of our common stock representing at least 80.1% of our common stock outstanding; we and Intel have cross-indemnities that generally place the financial responsibility on us and our subsidiaries for all liabilities associated with the current and historical Mobileye business and operations, and generally will place on Intel the financial responsibility for liabilities associated with all of Intel’s other current and historical businesses and operations, in each case regardless of the time those liabilities arise, and certain other indemnities; the Master Transaction Agreement contains a general release for liabilities arising from events occurring on or before the time of the Mobileye IPO; for so long as Intel provides us with accounting and financial services under the Administrative Services Agreement that we entered into with Intel, and to the extent necessary for the purpose of preparing financial statements or completing a financial statement audit, we will provide Intel as much prior notice as reasonably practical of any change in the independent certified public accountants to be used by us or our subsidiaries for providing an opinion on our consolidated financial statements; until the later of Intel ceasing to be a “controlling person” of us as defined in the Securities Act and such date that Intel ceases to provide us with legal, financial, or accounting services under the Administrative Services Agreement, we will comply with all Intel rules, policies, and directives identified by Intel as critical to legal and regulatory compliance, to the extent such rules, policies, and directives have been previously communicated to us, and will not adopt legal or regulatory policies or directives inconsistent with the policies identified by Intel as critical to legal and regulatory compliance; for a period of two years following the closing of the Mobileye IPO, we and Intel will not, directly or indirectly, solicit active employees of the other without prior consent by the other, provided we both have agreed to give such consent if either party believes, in good faith, that consent is necessary to avoid the resignation of an employee from one party that the other party would wish to employ; all outstanding options to 33 Table of Contents purchase shares of Intel and all other Intel equity awards held by Mobileye Group employees at the time of the Mobileye IPO will continue to be outstanding until the earliest of (i) the date the award is exchanged pursuant to any issuer exchange offer undertaken by us and Intel, (ii) the date the award is exercised or expires under the terms of the applicable award agreement, and (iii) the date such award is canceled as a result of a Mobileye Group employee being terminated or, if later, the end of any post-termination exercise period specified in the award agreement or by the applicable equity plans’ administrative committees; immediately after completion of the Mobileye IPO (and after giving effect to the repayment of indebtedness by us to Intel and other transactions that occurred substantially concurrently with the Mobileye IPO), Intel agreed to ensure that we had $1.0 billion in cash, cash equivalents, or marketable securities; and Intel will use commercially reasonable efforts to provide three months’ advance notice to our board of directors in the event that Intel intends to pursue a transaction (even if no such transaction is imminent or probable at such time) which is reasonably expected to cause Intel’s ownership in us to fall below 50% of our total issued and outstanding shares of common stock.
Biggest changeKey provisions of the Master Transaction Agreement include: we will provide Intel with certain registration rights to register our common stock, because the shares of our common stock held by Intel after the Mobileye IPO are “restricted securities” as defined in Rule 144 under the Securities Act; we will cooperate with Intel, at its request, to accomplish a distribution by Intel of our common stock to Intel stockholders which is intended to qualify as a distribution under Section 355 of the Code, or any corresponding provision of any successor statute, and we have agreed to promptly take any and all actions reasonably necessary or desirable to effect any such distribution, in which Intel will determine, in its sole and absolute discretion, whether to proceed with all or part of the distribution, the date of the distribution and the form, structure and all other terms of any transaction to effect the distribution; so long as Intel beneficially owns at least 20% of our common stock, we will sell Intel our commercially available products, including EyeQ TM SoCs, for internal use, but not for resale on a standalone or bundled basis; we and Intel agree to hold the other in most favored status with respect to products purchased or sold for internal use, meaning that the product prices, terms, warranties and benefits provided between us and Intel shall be comparable to or better than the equivalent terms being offered by the party providing the products to any single, present customer of such party; we have granted Intel a continuing right to purchase from us shares of Class A common stock or Class B common stock as is necessary for Intel to maintain an aggregate ownership interest of our common stock representing at least 80.1% of our common stock outstanding; we and Intel have cross-indemnities that generally place the financial responsibility on us and our subsidiaries for all liabilities associated with the current and historical Mobileye business and operations, and generally will place on Intel the financial responsibility for liabilities associated with all of Intel’s other current and historical businesses and operations, in each case regardless of the time those liabilities arise, and certain other indemnities; the Master Transaction Agreement contains a general release for liabilities arising from events occurring on or before the time of the Mobileye IPO; for so long as Intel provides us with accounting and financial services under the Administrative Services Agreement that we entered into with Intel, and to the extent necessary for the purpose of preparing financial statements or completing a financial statement audit, we will provide Intel as much prior notice as reasonably practical of any change in the independent certified public accountants to be used by us or our subsidiaries for providing an opinion on our consolidated financial statements; until the later of Intel ceasing to be a “controlling person” of us as defined in the Securities Act and such date that Intel ceases to provide us with legal, financial, or accounting services under the Administrative Services Agreement, we will comply with all Intel rules, policies, and directives identified by Intel as critical to legal and regulatory compliance, to the extent such rules, policies, and directives have been previously communicated to us, and will not adopt legal or regulatory policies or directives inconsistent with the policies identified by Intel as critical to legal and regulatory compliance; for a period of two years following the closing of the Mobileye IPO, we and Intel will not, directly or indirectly, solicit active employees of the other without prior consent by the other, provided we both have agreed to give such consent if either party believes, in good faith, that consent is necessary to avoid the resignation of an employee from one party that the other party would wish to employ; all outstanding options to purchase shares of Intel and all other Intel equity awards held by Mobileye Group employees at the time of the Mobileye IPO will continue to be outstanding until the earliest of (i) the date the award is exchanged pursuant to any issuer exchange offer undertaken by us and Intel, (ii) the date the award is exercised or expires under the terms of the applicable award agreement, and (iii) the date such award is canceled as a result of a Mobileye Group employee being terminated or, if later, the end of any post-termination exercise period specified in the award agreement or by the applicable equity plans’ administrative committees; immediately after completion of the Mobileye IPO (and after giving effect to the repayment of indebtedness by us to Intel and other transactions that occurred substantially concurrently with the Mobileye IPO), Intel agreed to ensure that we had $1.0 billion in cash, cash equivalents, or marketable securities; and Intel will use commercially reasonable efforts to provide three months’ advance notice to our board of directors in the event that Intel intends to pursue a transaction (even if no such transaction is imminent or probable at such time) which is reasonably expected to cause Intel’s ownership in us to fall below 50% of our total issued and outstanding shares of common stock. 28 Table of Contents In connection with the Mobileye IPO, we entered into a LiDAR Product Collaboration Agreement with Intel and a Technology and Services Agreement with Intel pursuant to which Intel granted us a limited license to sensitive core technology relating to lidar and radar, respectively.
This data enables us to create robust high definition maps to support solutions across the product spectrum from cloud-enhanced ADAS to Mobileye SuperVision Lite™ and Mobileye SuperVision™ to Mobileye Drive™ and Mobileye Chauffeur™.
This data enables us to create robust high definition maps to support solutions across the product spectrum from cloud-enhanced ADAS and Mobileye SuperVision Lite™ to Mobileye SuperVision™ to Mobileye Drive™ and Mobileye Chauffeur™.
Our EyeQ® architecture is highly scalable, powers our solutions, ranging from our base ADAS to highly advanced autonomous driving solutions, and is designed to support the increasingly computationally intensive demands of ADAS and autonomous driving solutions on the same architecture. ● Industry leading computer vision capabilities - ADAS solutions are responsible for saving lives and must meet very high-performance metrics with extreme levels of efficiency, and pass increasing oversight from regulatory bodies - “good enough” is simply not acceptable.
Our EyeQ TM architecture is highly scalable, powers our solutions, ranging from our base ADAS to highly advanced autonomous driving solutions, and is designed to support the increasingly computationally intensive demands of ADAS and autonomous driving solutions on the same architecture. ● Industry leading computer vision capabilities - ADAS solutions are responsible for saving lives and must meet very high-performance metrics with extreme levels of efficiency, and pass increasing oversight from regulatory bodies - “good enough” is simply not acceptable.
Furthermore, in addition to any other vote required by law or by our amended and restated certificate of incorporation, until the first date on which Intel ceases to beneficially own 20% or more of our outstanding shares of common stock, the prior affirmative vote or written consent of Intel as the holder of our Class B common stock will be required in order for us to: adopt or implement any stockholder 32 Table of Contents rights plan or similar takeover defense measure; consolidate or merge with or into any other entity; permit any of our subsidiaries to consolidate or merge with or into any other entity, with certain exceptions; acquire the stock or assets of another entity for consideration in excess of $250,000,000 other than transactions in which we and one or more of our wholly owned subsidiaries are the only parties; issue any stock or other equity securities except to our subsidiaries, pursuant to the Mobileye IPO, or pursuant to our employee benefit plans limited to a share reserve of 5% of the outstanding number of shares of our common stock on the immediately preceding December 31; make or commit to make any individual or series of related capital or other expenditures in excess of $250,000,000; create, incur, assume or permit to exist any indebtedness or guarantee any indebtedness in excess of $250,000,000; make any loan to or purchase any debt securities of any person in excess of $250,000,000; redeem, purchase or otherwise acquire or retire for value any equity securities of our company except repurchases from employees, officers, directors or other service providers upon termination of employment or through the exercise of any right of first refusal; take any actions to dissolve, liquidate, or wind-up our company; declare dividends on our stock; or amend, terminate or adopt any provision inconsistent with our amended and restated certificate of incorporation or amended and restated bylaws.
Furthermore, in addition to any other vote required by law or by our amended and restated certificate of incorporation, until the first date on which Intel ceases to beneficially own 20% or more of our outstanding shares of common stock, the prior affirmative vote or written consent of Intel as the holder of our Class B common stock will be required in order for us to: adopt or implement any stockholder rights plan or similar takeover defense measure; consolidate or merge with or into any other entity; permit any of our subsidiaries to consolidate or merge with or into any other entity, with certain exceptions; acquire the stock or assets of another entity for consideration in excess of $250,000,000 other than transactions in which we and one or more of our wholly owned subsidiaries are the only parties; issue any stock or other equity securities except to our subsidiaries, pursuant to the Mobileye IPO, or pursuant to our employee benefit plans limited to a share reserve of 5% of the outstanding number of shares of our common stock on the immediately preceding December 31; make or commit to make any individual or series of related capital or other expenditures in excess of $250,000,000; create, incur, assume or permit to exist any indebtedness or guarantee any indebtedness in excess of $250,000,000; make any loan to or purchase any debt securities of any person in excess of $250,000,000; redeem, purchase or otherwise acquire or retire for value any equity securities of our company except repurchases from employees, officers, directors or other service providers upon termination of employment or through the exercise of any right of first refusal; take any actions to dissolve, liquidate, or wind-up our company; declare dividends on our stock; or amend, terminate or adopt any provision inconsistent with our amended and restated certificate of incorporation or amended and restated bylaws.
We believe that our comprehensive stack of solutions and proven success at scale will enable us to further solidify our industry leadership. ● Capitalize on Cloud-Enhanced Driver Assist features - We have pioneered a cloud-enhanced ADAS solution, which offers customers using advanced EyeQ® versions (EyeQ®4 and above) a significant value through our REM™ technology.
We believe that our comprehensive stack of solutions and proven success at scale will enable us to further solidify our industry leadership. ● Capitalize on Cloud-Enhanced Driver Assist features - We have pioneered a cloud-enhanced ADAS solution, which offers customers using advanced EyeQ TM versions (EyeQ TM 4 and above) a significant value through our REM™ technology.
We believe enhancing our sensing and perception technology leadership will further strengthen our competitive position and allow us to offer additional differentiated and cost-effective solutions to our customers. ● Accelerate our roadmap of next generation proprietary EyeQ® SoCs - We believe that we have created the standard for processors focused on computer vision.
We believe enhancing our sensing and perception technology leadership will further strengthen our competitive position and allow us to offer additional differentiated and cost-effective solutions to our customers. ● Accelerate our roadmap of next generation proprietary EyeQ TM SoCs - We believe that we have created the standard for processors focused on computer vision.
In India, Mahindra & Mahindra, one of the country’s largest automakers, has launched the first vehicle made locally to offer ADAS capabilities, which is powered by our EyeQ® SoC. Its accessible price point compared to imported alternatives expands the ADAS reach to a broader range of consumers in one of the most populous countries in the world.
In India, Mahindra & Mahindra, one of the country’s largest automakers, has launched the first vehicle made locally to offer ADAS capabilities, which is powered by our EyeQ TM SoC. Its accessible price point compared to imported alternatives expands the ADAS reach to a broader range of consumers in one of the most populous countries in the world.
Our Cloud-Enhanced Driver Assist solution is capable of utilizing our EyeQ® SoCs and entry level camera technologies to deliver feature enhancements over time. Our Cloud-Enhanced Premium ADAS features range in complexity from all road-type lane keeping assist and lane centering, to Cross-Junction Assist, to Traffic Jam Assist.
Our Cloud-Enhanced Driver Assist solution is capable of utilizing our EyeQ TM SoCs and entry level camera technologies to deliver feature enhancements over time. Our Cloud-Enhanced Premium ADAS features range in complexity from all road-type lane keeping assist and lane centering, to Cross-Junction Assist, to Traffic Jam Assist.
We then apply a series of on-cloud algorithms to build this crowd-sourced data into a high-definition, rapidly updating map that contains a rich variety of information, including road geometry, drivable paths, common speeds, right-of-way, and traffic light-to-lane associations.
We apply a series of on-cloud algorithms to build this crowd-sourced data into a high-definition, rapidly updating map that contains a rich variety of information, including road geometry, drivable paths, common speeds, right-of-way, and traffic light-to-lane associations.
Our EyeQ® SoCs are purpose-built for sensing and perception technologies and optimized for high throughput and power efficiency. We intend to continue to accelerate our technology leadership with a focus on silicon, packaging, and systems level needs to deliver cost-efficient processing at the edge.
Our EyeQ TM SoCs are purpose-built for sensing and perception technologies and optimized for high throughput and power efficiency. We intend to continue to accelerate our technology leadership with a focus on silicon, packaging, and systems level needs to deliver cost-efficient processing at the edge.
In addition, our tightly coupled software and hardware solutions, which are based on highly advanced, road-tested, sensing and perception technologies from decades of leadership in computer vision and powered by our mission critical software and purpose-built EyeQ® family of SoCs are extremely hard to replicate.
In addition, our tightly coupled software and hardware solutions, which are based on highly advanced, road-tested, sensing and perception technologies from decades of leadership in computer vision and powered by our mission critical software and purpose-built EyeQ TM family of SoCs are extremely hard to replicate.
Our end-to-end software model encourages our customers to innovate on top of our platform, augmenting and differentiating their offerings, while benefiting from our cutting-edge, verified, and validated core technologies such as computer vision, true redundancy perception, REM TM mapping and driving policy.
Our end-to-end software model encourages our customers to innovate on top of our platform, augmenting and differentiating their offerings, while benefiting from our cutting-edge, verified, and validated core technologies such as computer vision, true redundancy perception, REM ™ mapping and driving policy.
Additionally, we recently added a new innovative Premium ADAS solution, SuperVision™ Lite, which will utilize the SuperVision™ software stack with a down-scaled sensor suite and an ECU that will include one EyeQ®6 High SoC in the future.
Additionally, we recently added a new innovative Premium ADAS solution, SuperVision™ Lite, which will utilize the SuperVision™ software stack with a down-scaled sensor suite and an ECU that will include one EyeQ TM 6 High SoC in the future.
Moreover, our scalable architecture provides our OEM partners with operational efficiencies as modular technology platform 21 Table of Contents architecture minimizes the OEMs’ integration and validation burden as our solutions can be seamlessly deployed across multiple vehicle segments. ● Road Experience Management™ creates a powerful network effect and long-term competitive advantage - Our REM™ system is a crucial ingredient that we believe allows for: (1) defining a new category of cloud-enhanced ADAS that we call Cloud-Enhanced Driver Assist, where information in Mobileye Roadbook™ enhances existing ADAS functions such as lane keeping assist and lane-centering and allows for new functions such as the analysis of behavior patterns in intersections and near traffic signs and lights; (2) evolving ADAS to an eyes-on/hands-off point-to-point assisted driving navigation; and (3) the scale deployment of AV.
Moreover, our scalable architecture provides our OEM partners with operational efficiencies as modular technology platform architecture minimizes the OEMs’ integration and validation burden as our solutions can be seamlessly deployed across multiple vehicle segments. ● Road Experience Management™ creates a powerful network effect and long-term competitive advantage - Our REM™ system is a crucial ingredient that we believe allows for: (1) defining a new category of cloud-enhanced ADAS that we call Cloud-Enhanced Driver Assist, where information in Mobileye Roadbook™ enhances existing ADAS functions such as lane keeping assist and lane-centering and allows for new functions such as the analysis of behavior patterns in intersections and near traffic signs and lights; (2) evolving ADAS to an eyes-on/hands-off point-to-point assisted driving navigation; and (3) the scale deployment of AV.
Cloud-Enhanced Driver Assist includes an in-path driver assist function capable of: ● Laterally controlling the vehicle to accurately track the driving path even in cases where lane markings are poorly marked, only partially visible, or completely absent (for example, while driving through intersections); and 8 Table of Contents ● Longitudinally responding to traffic directives and road conditions, such as adjustment of the speed according to speed limits, road curvature, or upcoming speed bumps/hazards, and yielding/stopping in response to traffic signs, traffic lights and pedestrian crossings.
Cloud-Enhanced Driver Assist includes an in-path driver assist function capable of: ● Laterally controlling the vehicle to accurately track the driving path even in cases where lane markings are poorly marked, only partially visible, or completely absent (for example, while driving through intersections); and 7 Table of Contents ● Longitudinally responding to traffic directives and road conditions, such as adjustment of the speed according to speed limits, road curvature, or upcoming speed bumps/hazards, and yielding/stopping in response to traffic signs, traffic lights and pedestrian crossings.
The principal competitive factors impacting the market for our solutions include: ● completeness of our technology platform including SoCs, sensing and perception technologies, sensor fusion architecture, high-precision mapping system, and supporting software and algorithms; ● ability to design and develop ADAS and autonomous driving solutions that meet our customers’ needs; ● automotive quality standards, compliance, and performance in all areas of ADAS and autonomous driving; ● agile software validation and robust product release discipline; ● scalability, and cost efficiency of our solutions; ● engineering capabilities, the ability to innovate and continuously improve our technology; 30 Table of Contents ● pricing; ● design and development support for our customers; ● manufacturing reliability and the ability to make on-time delivery of appropriate quantities of product at a consistent level of quality; ● ability to meet regulatory requirements; ● intellectual property protection; and ● brand and reputation, including the ability to market new offerings.
The principal competitive factors impacting the market for our solutions include: ● completeness of our technology platform including SoCs, sensing and perception technologies, sensor fusion architecture, high-precision mapping system, and supporting software and algorithms; ● ability to design and develop ADAS and autonomous driving solutions that meet our customers’ needs; ● automotive quality standards, compliance, and performance in all areas of ADAS and autonomous driving; ● agile software validation and robust product release discipline; ● scalability, and cost efficiency of our solutions; ● engineering capabilities, the ability to innovate and continuously improve our technology; ● pricing; ● design and development support for our customers; ● manufacturing reliability and the ability to make on-time delivery of appropriate quantities of product at a consistent level of quality; ● ability to meet regulatory requirements; ● intellectual property protection; and ● brand and reputation, including the ability to market new offerings.
We plan to continue to develop our platform to offer our customers the ability to seamlessly address the additional capabilities and features that they demand by customizing their offerings on top of our platform.
We plan to continue to develop our platform to offer our customers the ability to seamlessly address the additional capabilities and features that they demand by customizing their offerings on top of our solutions.
We believe the key factors in the growth of autonomous driving will be increased safety, consumer demand, and other economic and social benefits, such as increased mobility for older adults and persons with disabilities, less traffic congestion, and the reduction of land use for parking. 13 Table of Contents Models for AV Adoption We believe that the availability of AVs will cause a significant transformation in mobility, including vehicle ownership and utilization.
We believe the key factors in the growth of autonomous driving will be increased safety, consumer demand, and other economic and social benefits, such as increased mobility for older adults and persons with disabilities, less traffic congestion, and the reduction of land use for parking. 14 Table of Contents Models for AV Adoption We believe that the availability of AVs will cause a significant transformation in mobility, including vehicle ownership and utilization.
We have assembled a substantial dataset of real-world driving experience, encompassing hundreds of petabytes of data, which includes tens of millions of clips collected over decades of driving on urban, highway, and arterial roads all over the world that enable us to develop advanced computer vision algorithms to fit road scenarios and use cases that our system encounters.
We have assembled a substantial dataset of real-world driving experience, encompassing hundreds of petabytes of data, which includes tens of millions of clips collected over decades of driving on urban, highway, and arterial roads all over the world that enable us to develop and continuously improve advanced computer vision algorithms to fit road scenarios and use cases that our system encounters.
Moovit competes against urban mobility applications and MaaS solutions which provide transportation services and navigation data to consumers. Moovit’s free application competition includes Alphabet, Apple, Citymapper, and Transit. Moovit’s application also competes with on-demand service providers that provide multi-modal ride services and route planning through their own services including Lyft, TransLoc, Trapeze, Uber, and Via.
Moovit competes against urban mobility applications and MaaS solutions which provide transportation services and navigation data to consumers. Moovit’s free and subscription-based application competition includes Alphabet, Apple, Citymapper, and Transit. Moovit’s application also competes with on-demand service providers that provide multi-modal ride services and route planning through their own services including Lyft, TransLoc, Trapeze, Uber, and Via.
This data enables us to create robust high definition maps to support solutions across the product spectrum from cloud-enhanced ADAS to Mobileye SuperVision Lite™ and Mobileye SuperVision™ to Mobileye Drive™ and Mobileye Chauffeur™. 7 Table of Contents By augmenting our base ADAS with REM™ and Mobileye Roadbook™, we have pioneered the new ADAS category of cloud-enhanced ADAS, which we call Cloud-Enhanced Driver Assist.
This data enables us to create robust high definition maps to support solutions across the product spectrum from cloud-enhanced ADAS to Mobileye SuperVision Lite™ and Mobileye SuperVision™ to Mobileye Drive™ and Mobileye Chauffeur™. 6 Table of Contents By augmenting our base ADAS with REM™ and Mobileye Roadbook™, we have pioneered the new ADAS category of cloud-enhanced ADAS, which we call Cloud-Enhanced Driver Assist.
EyeQ®6 High be built to address the needs of eyes-on/hands-off and eyes-off/hands-off solutions in a scalable way.
EyeQ TM 6 High be built to address the needs of eyes-on/hands-off and eyes-off/hands-off solutions in a scalable way.
Research and Development We believe our strong research and development is our principal competitive strength and has led to our position in the market. Our research and development activities are predominantly conducted in Israel. We have more than 80% of our full time-equivalent employees engaged in research and development, many of whom have been with the company for significant tenures.
Research and Development We believe our strong research and development is our principal competitive strength and has led to our position in the market. Our research and development activities are predominantly conducted in Israel. We have more than 85% of our full time-equivalent employees engaged in research and development, many of whom have been with the company for significant tenures.
Specifically, it requires that network operators take technical measures and other necessary measures in accordance with applicable laws and regulations and the compulsory requirements of the 29 Table of Contents national and industrial standards to safeguard the safe and stable operation of its networks, maintain the integrity, confidentiality, and availability of network data, take technical and other necessary measures to ensure the security of the personal information they have collected against unauthorized access, alteration, disclosure, or loss, and formulate contingency plans for network security incidents and remediation measures.
Specifically, it requires that network operators take technical measures and other necessary measures in accordance with applicable laws and regulations and the compulsory requirements of the national and industrial standards to safeguard the safe and stable operation of its networks, maintain the integrity, confidentiality, and availability of network data, take technical and other necessary measures to ensure the security of the personal information they have collected against unauthorized access, alteration, disclosure, or loss, and formulate contingency plans for network security incidents and remediation measures.
The 11 cameras (seven long range cameras and four short-range surround vision cameras) provide full surround coverage and consist of 120-degree and 28-degree cameras in the front, four 100-degree corner cameras (two front-facing and two rear-facing), a 60-degree rear camera and four wide-view 192-degree short-range cameras mounted on the side mirrors and front and rear bumpers.
The 11 third-party cameras (seven long range cameras and four short-range surround vision cameras) provide full surround coverage and consist of 120-degree and 28-degree cameras in the front, four 100-degree corner cameras (two front-facing and two rear-facing), a 60-degree rear camera and four wide-view 192-degree short-range cameras mounted on the side mirrors and front and rear bumpers.
While robotaxi operators may be successful providing their services in limited geofenced areas, broad-based consumer AV adoption requires the ability to drive safely anywhere, and in diverse environments, rather than only in geofenced areas. ● Cost - The cost of a self-driving system commonly employed by robotaxis, with its cameras, radars, lidars, and high-performance computing is currently in the tens of thousands of dollars.
While robotaxi operators may be successful providing their services in limited geofenced areas, broad-based consumer AV adoption requires the ability to drive safely anywhere, and in diverse environments, rather than only in geofenced areas. 15 Table of Contents ● Cost - The cost of a self-driving system commonly employed by robotaxis, with its cameras, radars, lidars, and high-performance computing is currently in the tens of thousands of dollars.
Further, our AV maps support our ability to deploy our AMaaS technology in new cities and geographies quickly. ● Data and technology advantage - Developing effective ADAS technology is technologically complex, and requires the development of large validation datasets in order to train the required software algorithms effectively, a long-term commitment to validation and qualification with an OEM before series production can even begin, and significant financial resources.
Further, our AV maps support our ability to deploy our AMaaS technology in new cities and geographies quickly. 17 Table of Contents ● Data and technology advantage - Developing effective ADAS technology is technologically complex, and requires the development of large validation datasets in order to train the required software algorithms effectively, a long-term commitment to validation and qualification with an OEM before series production can even begin, and significant financial resources.
AMaaS competitors include Aurora, Cruise, Motional, Pony.ai, Waymo, Yandex, and Zoox in the United States and Europe and Auto X, Baidu, Deeproute.ai, Didi Chuxing, Momenta, and WeRide in China. Consumer AV competitors include Sony, and Tesla, who are developing self-driving vehicles for consumers.
AMaaS competitors include Cruise, Motional, Waymo, Yandex, and Zoox in the United States and Europe and Auto X, Baidu, Deeproute.ai, Didi Chuxing, Momenta, and WeRide in China. Consumer AV competitors include Sony and Tesla, who are developing self-driving vehicles for consumers.
We have not experienced any work stoppages and we consider our relations with our employees to be good. 31 Table of Contents Intellectual Property Our ability to compete effectively depends in part on our ability to develop and maintain the proprietary aspects of our technology.
We have not experienced any work stoppages and we consider our relations with our employees to be good. 26 Table of Contents Intellectual Property Our ability to compete effectively depends in part on our ability to develop and maintain the proprietary aspects of our technology.
Our End-to-End ADAS and AV Solutions Driver Assist Base Driver Assist functions are foundational to our spectrum of ADAS and AV solutions and include critical safety features such as real-time detection of road users, geometry, semantics, and markings to provide safety alerts and emergency interventions.
Our End-to-End ADAS and AV Solutions Driver Assist Base Driver Assist functions are foundational to our spectrum of ADAS and AV solutions and include core safety features such as real-time detection of road users, geometry, semantics, and markings to provide safety alerts and emergency interventions.
Together with our partners, we believe that we can accelerate the pace of autonomous innovation and market adoption Our Growth Strategies Key levers of our growth strategy are: ● Benefit from regulatory and safety rating changes promoting base ADAS - We intend to continue to lead and deliver upon global regulatory and safety requirements for base ADAS features by maintaining and enhancing our vision only solution.
Together with our partners, we believe that we can accelerate the pace of autonomous innovation and market adoption. 18 Table of Contents Our Growth Strategies Key levers of our growth strategy are: ● Benefit from regulatory and safety rating changes promoting base ADAS - We intend to continue to lead and deliver upon global regulatory and safety requirements for base ADAS features by maintaining and enhancing our vision only solution.
We have enhanced our computer vision capabilities over time to include multiple cameras such as the trifocal camera configuration (three cameras with different fields of view placed side-by-side facing forward), which has been in series production since 2018, and the 11-camera configuration on our Mobileye SuperVision™ solution, which was launched in late 2021. ● EyeQ Kit™ for developing and deploying differentiated features on top of EyeQ® SoC - Our platform is modular by design, enabling our customers to productize our most advanced solutions today and then leverage those investments to launch even more advanced systems in a modular and incremental manner.
We have enhanced our computer vision capabilities over time to include multiple cameras such as the trifocal camera configuration (three cameras with different fields of view placed side-by-side facing forward), which has been in series production since 2018, and the 11-camera configuration on our Mobileye SuperVision™ solution, which was launched in late 2021. 16 Table of Contents ● We offer solutions for developing and deploying differentiated features on top of EyeQ™ SoC - Our platform is modular by design, enabling our customers to productize our most advanced solutions today and then leverage those investments to launch even more advanced systems in a modular and incremental manner.
Mobileye Drive™, our eyes-off/hands-off solution, will encompass our core autonomous driving technologies found in Mobileye Chauffeur™ (360-degrees of coverage, REM™, True Redundancy™, and RSS) and will deliver the driving functions without the need for any in-vehicle human intervention by adding teleoperability and by minimizing cases where human input would be required.
Mobileye Drive™, our eyes-off/hands-off solution, will build upon our core autonomous driving technologies found in Mobileye Chauffeur™ (360-degrees of coverage, REM™, True Redundancy™, and RSS) and will deliver the driving functions without the need for any in-vehicle human intervention by adding teleoperability and by minimizing cases where human input would be required.
Our Premium Driver Assist offerings are expected to be available with EyeQ® Kit support, which will enable OEM customers to deploy their own internally-developed software on our EyeQ® SoCs while benefiting from our industry-leading technology platform. ● Innovate and commercialize our next-generation autonomous driving solutions - Propelled by our next generation EyeQ® SoC, our surround computer vision Mobileye SuperVision™ solution, productization of software-defined imaging radars and our True Redundancy™ architecture, we believe that we will be positioned to deliver an autonomous driving solution that can enable the mass adoption of AV.
Our Premium Driver Assist offerings are expected to be available with DXP and EyeQ TM Kit support, which will enable OEM customers to deploy their own internally-developed software on our EyeQ TM SoCs while benefiting from our industry-leading technology platform. 19 Table of Contents ● Innovate and commercialize our next-generation autonomous driving solutions - Propelled by our next generation EyeQ™ SoC, our surround computer vision Mobileye SuperVision™ solution, productization of software-defined imaging radars and our True Redundancy™ architecture, we believe that we will be positioned to deliver an autonomous driving solution that can enable the mass adoption of AV.
Our Customers Our customers include leading OEMs, which we sell to through Tier 1 automotive suppliers that implement our product into automotive vehicles, as well as fleet owners and operators. 24 Table of Contents OEMs Our market position has remained strong across a broad set of customer relationships for many years.
Our Customers Our customers include leading OEMs, which we sell to through Tier 1 automotive suppliers that implement our product into automotive vehicles, as well as fleet owners and operators. OEMs Our market position has remained strong across a broad set of customer relationships for many years.
Our technologies are foundational to the development and deployment of our ADAS capabilities and consumer AV.
Our technologies are foundational to the development and deployment of our ADAS and AV capabilities.
In other words, an OEM that adopts and validates 16 Table of Contents SuperVision™ is taking a significant step towards Consumer AV as SuperVision™ serves as a validated baseline which can be leveraged to add eyes-off functionality under an increasing set of operating conditions in a modular way.
In other words, an OEM that adopts and validates SuperVision™ is taking a significant step towards Consumer AV as SuperVision™ serves as a validated baseline which can be leveraged to add eyes-off functionality under an increasing set of operating conditions in a modular way.
We believe Mobileye SuperVision™ has the potential to transform ADAS at its core, potentially leading to adoption driven by regulatory requirements and safety ratings of a Mobileye SuperVision™- 9 Table of Contents like solution in its own category, similar to how safety-ratings and regulation have driven the adoption of base ADAS beginning in 2014.
We believe Mobileye SuperVision™ has the potential to transform ADAS at its core, potentially leading to adoption driven by regulatory requirements and safety ratings of a Mobileye SuperVision™-like solution in its own category, similar to how safety-ratings and regulation have driven the adoption of base ADAS beginning in 2014.
Our solutions are also highly customizable, which allows our customers to benefit from our cutting-edge, verified, and validated core technologies such as computer vision, true redundancy perception, REM TM mapping and driving policy, while enabling our customers to augment and differentiate their offerings.
Our systems are also highly customizable, which allows our customers to benefit from our cutting-edge, verified, and validated core technologies such as computer vision, true redundancy perception, REM™ mapping and driving policy, while enabling our customers to augment and differentiate their offerings.
See “Item 1A. Risk Factors — Risks Related to our Relationship with Intel and our Dual Class Structure”. We and Intel continue to interact as strategic partners, collaborating on projects to pursue the growth of computing and advanced technology in the automotive sector.
See “Item 1A. Risk Factors — Risks Related to our Relationship with Intel and our Dual Class Structure”. 27 Table of Contents We and Intel continue to interact as strategic partners, collaborating on projects to pursue the growth of computing and advanced technology in the automotive sector.
We believe our self-driving system has sustainable competitive advantages as a result of the cost efficiency, scalability, and regulatory validation of our technology platform: ● Cost Efficiency - cost-efficient, low-energy, purpose-built central compute processors; imaging radars targeted to reduce the need for multiple lidar units and require only a single front-facing lidar; ● Geographic Scalability - REM™-based AV maps that eliminate the need for dedicated high-definition mapping efforts; RSS-based driving policy designed for global deployment by not relying on driving culture or local rules; sensing technologies built on a foundation of a massive data training set from over 40 countries; and 11 Table of Contents ● Regulatory Validation - True Redundancy™, with independent, separate perception subsystems that increases robustness and ease of validation, RSS used by international bodies that are currently developing standards with respect to the safety of AV.
We believe that both Mobileye Chauffeur™ and Mobileye Drive™ have sustainable competitive advantages as a result of the cost efficiency, scalability, and regulatory validation of our technology platform: ● Cost Efficiency - cost-efficient, low-energy, purpose-built central compute processors; imaging radars targeted to reduce the need for multiple lidar units and require only a single front-facing lidar; ● Geographic Scalability - REM™-based AV maps that eliminate the need for dedicated high-definition mapping efforts; RSS-based driving policy designed for global deployment by not relying on driving culture or local rules; sensing technologies built on a foundation of a massive data training set from over 40 countries; and 12 Table of Contents ● Regulatory Validation - True Redundancy™, with independent, separate perception subsystems that increases robustness and ease of validation, RSS used by international bodies that are currently developing standards with respect to the safety of AV. ● Self-Driving System & Vehicles.
The overall solution will provide a turnkey self-driving system for movement of people and goods that is applicable to various vehicle configurations (such as passenger vehicles, special purpose pods / vehicles, shuttles, and buses) and will be relevant across the range of potential networks (including AMaaS, last-mile delivery and commercial delivery fleets).
The overall solution will provide a turnkey self-driving system with a more advanced ODD for movement of people and goods that is applicable to various vehicle configurations (such as passenger vehicles, special purpose pods/vehicles, shuttles, and buses) and will be relevant across the range of potential networks (including AMaaS, last-mile delivery and commercial delivery fleets).
In order for autonomous driving consumer 14 Table of Contents vehicles to scale in volume, we believe the cost of the self-driving system needs to be reduced significantly, such as to several thousands of dollars, an order of magnitude lower than the cost of market solutions to date.
In order for autonomous driving consumer vehicles to scale in volume, we believe the cost of the self-driving system needs to be reduced significantly, such as to several thousands of dollars, an order of magnitude lower than the cost of market solutions to date.
Our platform is built on five fundamental pillars: ● highly advanced, road-tested, sensing and perception technologies built upon years of technology leadership in computer vision and powered by our mission critical software and purpose-built EyeQ® family of SoCs; ● a high-precision mapping system, our Road Experience Management™ (“REM™”), that generates AV maps from crowd-sourced data that is uploaded and analyzed in the cloud from REM™-equipped production ADAS solutions that are deployed on vehicles on the road; ● a redundant sensor fusion architecture, which we call True Redundancy™, designed to employ two independent perception subsystems - one based solely on cameras, and the other solely on a radar-lidar subsystem, to enable our goal of building a fully autonomous driving-system that can be validated as safer than human-driven vehicles and deployed in a cost-efficient manner; 4 Table of Contents ● the design of next generation imaging-radars, a solution targeted to reduce the need for multiple lidar sensors, combined with a single front-facing lidar sensor in the redundant sensor configuration of the future, to enable our goal of building a cost-effective fully autonomous driving-system; and ● our Responsibility-Sensitive Safety (“RSS”) framework, which has continuously been optimized since it was first published in 2017, is used by international bodies that are currently developing standards with respect to the safety of AV, and forms the backbone of our human-like, computationally efficient, driving policy and decision-making engine.
Our platform is built on five fundamental pillars: ● highly advanced, road-tested, sensing and perception technologies built upon years of technology leadership in computer vision and powered by our mission critical software and purpose-built EyeQ™ family of SoCs; ● a high-precision mapping system, our Road Experience Management™ (“REM™”), that generates AV maps from crowd-sourced data that is uploaded and analyzed in the cloud from REM™-equipped production ADAS solutions that are deployed on vehicles on the road; ● a redundant sensor fusion architecture, which we call True Redundancy™, designed to employ two independent perception subsystems - one based solely on cameras, and the other solely on a radar-lidar subsystem, to enable our goal of building a fully autonomous driving-system that can be validated as safer than human-driven vehicles and deployed in a cost-efficient manner; ● the design of next generation imaging-radars, a solution targeted to reduce the need for multiple lidar sensors, combined with a single front-facing lidar sensor in the redundant sensor configuration of the future, to enable our goal of building a cost-effective fully autonomous driving-system; and ● our Responsibility-Sensitive Safety (“RSS”) framework, which has continuously been optimized since it was first published in 2017, is used by international bodies that are currently developing standards with respect to the safety of AV, and forms the backbone of our human-like, computationally efficient, driving policy and decision-making engine. 4 Table of Contents These five pillars form the core of our platform, which is highly customizable, and we intend to deploy them with increasing functionality to continue to enhance our market-leading ADAS solutions and lead the evolution to autonomous driving solutions.
We believe the introduction of our premium ADAS capabilities with our launched Mobileye SuperVision™ solution, which can be scaled to a variety of Mobileye Chauffeur TM Consumer AV solutions, and our eyes-off/hands-off 23 Table of Contents capabilities with Mobileye Drive™ will help us continue to provide our customers with innovative solutions and enable further growth for us.
We believe the introduction of our premium ADAS capabilities with our launched Mobileye SuperVision™ solution, which can be scaled to a variety of Mobileye Chauffeur™ Consumer AV solutions, and our eyes-off/hands-off capabilities with Mobileye Drive™ will help us continue to provide our customers with innovative solutions and enable further growth for us.
We also expect to continue to invest in our ecosystem partnerships with OEMs and transportation network companies in order to foster close collaboration and further commercialize our autonomous technologies. ● Benefit from opportunities in large emerging markets - We intend to continue to invest in customer relationships in China and India, among other emerging markets, to accelerate ADAS and autonomous driving adoption.
We also expect to continue to invest in our ecosystem partnerships with OEMs and transportation network companies in order to foster close collaboration and further commercialize our autonomous technologies. 20 Table of Contents ● Benefit from opportunities in large emerging markets - We intend to continue to invest in customer relationships in China and India, among other emerging markets, to accelerate ADAS and autonomous driving adoption.
In 2020, he was awarded the prestigious Michael Bruno Award for his research and his contribution to computer science and engineering. Mr. Shalev-Shwartz earned his Ph.D. from the Hebrew University of Jerusalem. Nimrod Nehushtan has been serving as our Senior Vice President of Business Development & Strategy and Co-Manager of REM since 2022. Prior to his current position, Mr.
In 2020, he was awarded the prestigious Michael Bruno Award for his research and his contribution to computer science and engineering. Mr. Shalev-Shwartz earned his Ph.D. from the Hebrew University of Jerusalem. Nimrod Nehushtan has been serving as our Executive Vice President of Business Development & Strategy and Co-Manager of REM TM since 2023. Prior to his current position, Mr.
Cloud-Enhanced Driver Assist also provides foresight of road geometry, and the often-complicated association of semantic indications with the different driving paths (e.g., traffic lights and traffic signs) by relying on data from prior human driving activity in those locations and situations.
Cloud-Enhanced Driver Assist also provides foresight of road geometry, and the often-complicated association of semantic indications with the different driving paths ( e.g. , traffic lights and traffic signs) by relying on data, when such data is available, from prior human driving activity in those locations and situations.
This will allow continued technological development and public trust and familiarity to grow and pave the way toward full autonomy. Our ADAS solutions, which have been deployed in more than 135 million vehicles, are important building blocks for these more advanced autonomous systems.
This will allow continued technological development and public trust and familiarity to grow and pave the way toward full autonomy. Our ADAS solutions, which have been deployed in approximately 170 million vehicles, are important building blocks for these more advanced autonomous systems.
Our AV maps identify areas of potential dangers (such as lane merges, traffic lights and occluded pedestrians) and adjust the driving accordingly, while RSS provides human-like decisions enabled by surround (360) sensing and the fully-integrated REM™ AV map.
Our AV maps, where map data is available, identify areas of potential dangers (such as lane merges, traffic lights and occluded pedestrians) and adjust the driving accordingly, while RSS provides human-like decisions enabled by surround (360) sensing and the fully-integrated REM™ AV map.
Our REM™ mapping system harvests small packets of Road Segment Data from millions of vehicles that have been launched by our partner OEMs since 2018 that are equipped with our EyeQ®4 Mid and above SoCs, and special processing software that extracts only the relevant information that is necessary to support increasing levels of ADAS and autonomous driving.
Our REM™ mapping system harvests small packets of Road Segment Data from millions of vehicles that have been launched by our partner OEMs since 2018 that are equipped with special processing software that extracts only the relevant information that is necessary to support increasing levels of ADAS and autonomous driving.
Litigation may be necessary in the future to enforce our proprietary rights, to determine the validity and scope of the proprietary rights of others, or to defend us against claims of infringement or invalidity by others.
Litigation may be necessary in the future to enforce our proprietary rights, to determine the validity and scope of the proprietary rights of others, or to defend us against claims of infringement, misappropriation or other violation or invalidity by others.
The additional week in fiscal year 2022 is added to the first quarter, which consisted of 14 weeks.
The additional week in fiscal year 2022 was added to the first quarter, which consisted of 14 weeks.
Our solutions are also highly customizable, which allows our customers to benefit from our cutting-edge, verified, and validated core ADAS capabilities while also augmenting and differentiating their offerings. We have experienced significant growth since our founding.
Our solutions are also highly customizable, which allows our customers to benefit from our cutting-edge, verified, and validated core ADAS capabilities while also augmenting and differentiating their offerings. 3 Table of Contents We have experienced significant growth since our founding.
These solutions range from base, windshield mounted ECUs to multi-SoC central compute ECUs supported currently by EyeQ®5 as well as our announced EyeQ®6, which can be deployed in a scalable way to support eyes-on/hands-off SuperVision™ through a variety of eyes-off/hands-off operational design domains (“ODDs”) for autonomous vehicles, both consumer-owned and fleet-deployed.
These solutions range from base, windshield mounted ECUs to multi-SoC central compute ECUs supported currently by EyeQ™5 and in the future EyeQ™6, which can be deployed in a scalable way to support eyes-on/hands-off SuperVision™ through a variety of eyes-off/hands-off operational design domains (“ODDs”) for autonomous vehicles, both consumer-owned and fleet-deployed.
Finally, the autonomous driving solution needs to be produced at a cost that makes it affordable. We are building our technology platform to address these fundamental and significant challenges in order to enable the full spectrum of solutions, from ADAS to autonomous driving.
Finally, the autonomous driving solution needs to be produced at a cost that makes it affordable. We are building our technology platform to address these fundamental and significant challenges in order to enable a full spectrum of solutions, from ADAS to autonomous driving, with several incremental steps in between.
As a result of our relationship with Intel, we have access to unique and differentiating technologies such as proprietary silicon photonics fabrication technologies, which we may leverage for the early development of our FMCW lidar, which has the potential to replace alternative third-party lidar sensors to further enhance the performance of our sensor suite.
As a result of our relationship with Intel, we have access to unique and differentiating technologies such as proprietary silicon photonics fabrication technologies, which we may leverage for the early development of our frequency-modulated continuous wave (“FMCW”) lidar, which has the potential to replace alternative third-party lidar sensors to further enhance the performance of our sensor suite.
Certain Relationships and Related Transactions, and Director Independence” which is incorporated herein by reference from our definitive proxy statement for the 2023 Annual Meeting of the Stockholders (the “2023 Proxy Statement”), which we expect to file with the SEC within 120 days after the end of our fiscal year ended December 31, 2022.
Certain Relationships and Related Transactions, and Director Independence” which is incorporated herein by reference from our definitive proxy statement for the 2024 Annual Meeting of the Stockholders (the “2024 Proxy Statement”), which we expect to file with the SEC within 120 days after the end of our fiscal year ended December 30, 2023.
Our data-collection processes implement strict methodologies to comply with data protection and privacy laws, including the EU General Data Protection Regulation (the “GDPR”), the UK General Data Protection Regulation, and the California Consumer Privacy Act of 2018 (the “CCPA”), as amended by the California Privacy Rights Act of 2020 (the “CPRA”).
Our data-collection processes implement strict methodologies to comply with data protection and privacy laws, including the EU General Data Protection Regulation (the “GDPR”), the UK General Data Protection Regulation, and U.S. federal and state law, including the California Consumer Privacy Act of 2018 (the “CCPA”), as amended by the California Privacy Rights Act of 2020 (the “CPRA”).
Importantly, our SuperVision™ technology also serves as a bridge or foundational technology for Mobileye and its customers to develop a full spectrum of “eyes-off/hands-off” solutions with expanding ODDs.
Importantly, our SuperVision™ technology also serves as a bridge, or foundational technology, for Mobileye and its customers to develop a spectrum of eyes-off/hands-off solutions with expanding ODDs.
The EyeQ® family design enables a scalable 6 Table of Contents Electronic Control Unit (“ECU”) architecture, thereby supporting a variety of ADAS solution architectures.
The EyeQ™ family design enables a scalable Electronic Control Unit (“ECU”) architecture, thereby supporting a variety of ADAS solution architectures.
As of December 31, 2022, our solutions had been installed in approximately 800 vehicle models (including local country, year, and other vehicle model variations), and our System-on-Chips (“SoCs”) had been deployed in over 135 million vehicles. We are actively working with more than 50 Original Equipment Manufacturers (“OEMs”) worldwide on the implementation of our ADAS solutions.
As of December 30, 2023, our solutions had been installed in approximately 800 vehicle models (including local country, year, and other vehicle model variations), and our System-on-Chips (“SoCs”) had been deployed in approximately 170 million vehicles. We are actively working with more than 50 Original Equipment Manufacturers (“OEMs”) worldwide on the implementation of our ADAS solutions.
Any references to our performance for the years 2022, 2021 and 2020 are references to our fiscal years ended December 31, 2022, December 25, 2021 and December 26, 2020, respectively, and all references to our financial condition as of the end of 2022 and 2021 are references to the end of such fiscal years.
Any references to our performance for the years 2023, 2022 and 2021 are references to our fiscal years ended December 30, 2023, December 31, 2022 and December 25, 2021, respectively, and all references to our financial condition as of the end of 2023 and 2022 are references to the end of such fiscal years.
Our software algorithms and purpose-built hardware are designed to provide the driver with accurate and reliable driver assist solutions, promoting road safety. Cloud-Enhanced Driver Assist Cloud-Enhanced Driver Assist provides drivers with high-accuracy interpretations of a scene in real-time utilizing centimeter-level drivable path accuracy, foresight of the path ahead, and other semantic information provided by our crowdsourced REM™ mapping system.
Our software algorithms and purpose-built hardware are designed to provide the driver with accurate and reliable driver assist solutions, promoting road safety. 10 Table of Contents Cloud-Enhanced Driver Assist Cloud-Enhanced Driver Assist provides drivers with high-accuracy interpretations of a scene in real-time utilizing centimeter-level drivable path accuracy, foresight of the path ahead, and other semantic information provided by our crowdsourced REM™ mapping system, subject to the availability of relevant map data.
However, mass adoption of autonomous vehicles is still nascent. Full autonomy - where a human is not actively engaged in driving the vehicle for extended periods of time - requires the autonomous driving solution to be capable of navigating any environment in any condition at any time.
While still nascent, full autonomy - where a human is not actively engaged in driving the vehicle for extended periods of time - requires the autonomous driving solution to be capable of navigating any environment in any condition at any time.
References to "Moovit” refer to GG Acquisition Ltd., Moovit App Global Ltd. and their consolidated subsidiaries. We have a 52- or 53-week fiscal year that ends on the last Saturday in December. Fiscal years 2021 and 2020 were 52-week fiscal years; fiscal year 2022 is a 53-week fiscal year.
References to “Moovit” refer to GG Acquisition Ltd., Moovit App Global Ltd. and their consolidated subsidiaries. We have a 52- or 53-week fiscal year that ends on the last Saturday in December. Fiscal years 2023 and 2021 were 52-week fiscal years; fiscal year 2022 was a 53-week fiscal year.
For the year ended December 31, 2022, we shipped approximately 33.7 million of our EyeQ® SoC and SuperVision TM systems, of which the substantial majority were EyeQ® SoCs. This represents an increase from approximately 28.1 million systems that we shipped in 2021 and approximately 19.7 million systems that we shipped in 2020. We were founded in Israel in 1999.
For the year ended December 30, 2023, we shipped approximately 37.4 million of our EyeQ™ SoC and SuperVision TM systems, of which the substantial majority were EyeQ™ SoCs. This represents an increase from approximately 33.7 million systems that we shipped in 2022 and approximately 28.1 million systems that we shipped in 2021. We were founded in Israel in 1999.
True Redundancy™: Our Unique Sensor Fusion Architecture Our unique architecture design, called True Redundancy™, further enhances the robustness and safety of our self-driving system. Rather than fusing all different sensor modalities prior to creating an “environment model” of the world, we are developing two independent perception subsystems.
True Redundancy™: Our Unique Sensor Fusion Architecture; Imaging Radar Development Our unique architecture design, called True Redundancy™, further enhances the robustness and safety of our self-driving system. Rather than fusing all different sensor modalities prior to creating an “environment model” of the world, we have developed two independent perception subsystems.
We are designing a “software-defined” imaging radar with a dynamic range and resolution backed by advanced processing algorithms to enable an independent “sensing state.” We have chosen to focus on the evolution of the radar modality, given its cost structure is significantly below lidar-only systems.
We have designed and selected multiple manufacturing partners for a “software-defined” imaging radar with a dynamic range and resolution backed by advanced processing algorithms to enable an independent “sensing state.” We have chosen to focus on the evolution of the radar modality, given its cost structure is significantly below lidar-only systems.
The first series production launch of this offering occurred in 2021 as Geely Group launched Mobileye SuperVision™ in its ZEEKR premium electric vehicle brand. Over 90,000 SuperVision TM systems were delivered to ZEEKR in 2022. Mobileye Chauffeur™ and Mobileye Drive™ Our Mobileye Chauffeur™ first generation solution will be based on three EyeQ®6 High SoCs.
The first series production launch of this offering occurred in 2021 as Geely Group launched Mobileye SuperVision™ in its ZEEKR premium electric vehicle brand. Through the end of 2023, over 200,000 SuperVision™ systems were delivered to ZEEKR and other brands. Mobileye Chauffeur™ and Mobileye Drive™ Our Mobileye Chauffeur™ first generation solution will be based on three EyeQ™6 High SoCs.
While these restrictions are new and have not yet been interpreted and applied, based on our existing customer base and the export classifications for our existing chip products, we do not believe that these new U.S. export controls will have a material impact on our sales of these products to our existing customers in China.
Based on our existing customer base and the export classifications for our existing chip products, we do not believe that these new U.S. export controls will have a material impact on our sales of these products to our existing customers in China.
Our Adjusted Net Income for 2022, 2021 and 2020 was $605 million, $474 million and $289 million, respectively. Adjusted Net Income is a non-GAAP financial measure; see “Item 7. Management’s Discussion and Analysis 3 Table of Contents of Financial Condition and Results of Operations – Non-GAAP Financial Measures” for a reconciliation of Adjusted Net Income to Net income (loss).
Our Adjusted Net Income for 2023, 2022 and 2021 was $659 million, $605 million and $474 million, respectively. Adjusted Net Income is a non-GAAP financial measure; see “Item 7. Management’s Discussion and Analysis of Financial Condition and Results of Operations – Non-GAAP Financial Measures” for a reconciliation of Adjusted Net Income to Net Income (Loss).
OEMs who have or are pursuing their own in-house solutions are also indirect competitors, with Tesla and Mercedes-Benz being examples of automakers taking that approach today, with others such as General Motors, NIO, Volvo Cars, and Xpeng Motors also pursuing in-house solutions for portions of the ADAS software stack. In the future, our indirect competitors could become direct competitors.
OEMs who have or are pursuing their own in-house solutions are also indirect competitors, with Tesla and Mercedes-Benz being examples of automakers taking that approach today, with others such as General Motors, NIO, Volvo Cars, Xpeng Motors, Huawei and Li Auto also pursuing in-house solutions for portions of the advanced ADAS software stack.
The principle of efficiency permeates the overall solution design, including our True Redundancy TM approach, with separate subsystems to increase robustness and simplify validation efforts, and RSS, which separates the perception system’s validation from the driving policy system, and allows for a compute-efficient driving policy. Both of these are critical contributors to achieving efficient solutions.
The principle of efficiency permeates the overall solution design, including our True Redundancy™ approach, with separate subsystems to increase robustness and simplify validation efforts, and RSS, which separates the perception system’s validation from the driving policy system, and allows for a compute-efficient driving policy.
In parallel, we have created a rich dataset of roads driven from REM™-enabled vehicles that we estimate covers over 90% and 90% of the approximately 0.8 million miles of motorway, trunk, and primary road types in each of the United States and Europe, respectively.
In parallel, we have created a rich dataset of roads driven from over three million REM™-enabled vehicles worldwide that we estimate covers over 90% of the approximately 0.8 million miles of motorway, trunk, and primary road types in each of the United States and Europe, respectively, as well as a large majority of all other road types.
Our dataset creates a powerful network effect as we seek to continually improve our solutions as more vehicles are deployed with our technology. ● RSS and driving policy are designed for global deployment - We published our RSS model in 2017, to address the regulatory and public debate regarding, and enable the acceptance of, eyes-off/hands-off autonomous solutions.
These two datasets create powerful network effects as we seek to continually improve our solutions as more vehicles are deployed with our technology. ● RSS and driving policy are designed for global deployment - We published our RSS model in 2017, to address the regulatory and public debate regarding, and enable the acceptance of, eyes-off/hands-off autonomous solutions.
For 2022, 2021 and 2020, our revenue was $1.9 billion, $1.4 billion and $967 million, respectively, representing year-over-year growth of 35% in 2022 compared to 2021. We currently derive substantially all of our revenue from our commercially deployed ADAS solutions. We recorded net losses of $82 million, $75 million and $196 million in 2022, 2021 and 2020, respectively.
For 2023, 2022 and 2021, our revenue was $2.1 billion, $1.9 billion and $1.4 billion, respectively, representing year-over-year growth of 11% in 2023 compared to 2022. We currently derive substantially all of our revenue from our commercially deployed ADAS solutions. We recorded net losses of $27 million, $82 million and $75 million in 2023, 2022 and 2021, respectively.
We believe we have a unique approach by developing ADAS and autonomous solutions simultaneously, giving us a technical and scale advantage over our competition. Our Employees As of December 31, 2022, we had approximately 3,500 employees operating across eight countries, with approximately 80% of such employees involved in research and development and approximately 3,200 of such employees operating in Israel.
We believe we have a unique approach by developing ADAS and autonomous solutions simultaneously, giving us a technical and scale advantage over our competition. Our Employees As of December 30, 2023, we had approximately 3,700 employees operating across eight countries, with approximately 85% of such employees involved in research and development and approximately 3,400 of such employees operating in Israel.
The Cyber Security Law reaffirms the basic principles and requirements specified in other existing laws and regulations on personal information protection, such as the requirements on the collection, use, processing, storage, and disclosure of personal information.
In China, the PRC Cyber Security Law became effective on June 1, 2017. The Cyber Security Law reaffirms the basic principles and requirements specified in other existing laws and regulations on personal information protection, such as the requirements on the collection, use, processing, storage, and disclosure of personal information.
In 2022, we estimate that the data we have accumulated covers over 90% and 90% of the approximately 0.8 million miles of motorway, trunk, and primary road types in each of the United States and Europe, respectively.
In 2023, we estimate that the data we have accumulated covers over 90% of the approximately 0.8 million miles of motorway, trunk, and primary road types in each of the United States and Europe, respectively, as well as a large majority of other road types.