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Mobileye develops technologies for automated driving and advanced driver-assistance systems. Its products use cameras and sensors with computer vision, machine learning, and mapping to perceive the world, while REM crowdsourced maps and RSS safety rules guide decisions and safety; software combines perception, planning, and control to enable vehicles and driver-assist features. Mobileye differentiates itself with a holistic stack built around True Redundancy sensing, crowd-based REM mapping, and a formal Safety model, backed by a long track record of ADAS and AV deployments. The goal is to enable safer, scalable mobility by delivering autonomous-driving tech and mobility-infrastructure intelligence that can be deployed across fleets and road networks worldwide.
Industries
Automotive & Transportation
AI & Machine Learning
Company Size
1,001-5,000
Company Stage
IPO
Headquarters
Jerusalem, Israel
Founded
1999
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Total Funding
$16.9B
Above
Industry Average
Funded Over
7 Rounds
Mobileye is seeking a buyer for Moovit, the mobility app it acquired in 2020, as part of a strategic reset. The move marks a retreat from earlier robotaxi ambitions, with Mobileye now focusing on supplying autonomous driving systems and launching a driverless taxi service with Lyft in Texas in 2026. The sale reflects Mobileye's emphasis on cost management after posting a GAAP operating loss of $74 million in Q2 2025. Moovit's ongoing losses clash with this focus, whilst acquisition-related accounting charges add non-cash costs to results. The divestment highlights challenges in integrating different business models. Moovit's consumer app model, focused on user lifetime value, proved difficult to blend with Mobileye's business-to-business automotive supplier approach, which reported an average system price of $49.70 in Q2 2025.
Verne robotaxi service partners with Uber and Pony.ai for launch. Rimac-owned Verne is set to launch a commercial robotaxi service in Europe with Uber and Pony.ai. This will launch in the Croatian capital of Zagreb, where road tests by Pony.ai partner Arcfox are underway. By Florian Treiss 30.03.2026 - 16:30 In June 2024, the Croatian EV manufacturer Rimac unveiled its plans for Verne: a robotaxi service built around a fully autonomous battery-electric vehicle with just two seats, no steering wheel, and no pedals. At the time, Rimac announced that the service would launch in Zagreb in 2026, followed by expansions to the UK and Germany, and eventually to additional markets across Europe and the Middle East. The announcement of the new partnerships is then surprising for two reasons. First, Rimac has partnered with Pony.ai, a company that offers a proprietary autonomous driving solution comprising hardware, software, and services. Initially, Rimac had planned to collaborate with Pony.ai's competitor, Israel's Mobileye, for Verne's autonomous driving technology. The collaboration with Uber is equally significant. Rimac had previously outlined a fully integrated solution for Verne, encompassing its own vehicles, fleet management, and a dedicated customer app - a vertically integrated approach. Rimac founder Mate Rimac stated at the time: "We want to make a difference with our holistic integrated approach, which is designed around the best possible experience." Uber's involvement is driven by several factors: the US ride-hailing giant has pledged an undisclosed investment in Verne, following recent investments in the robotaxi ventures of Lucid and Rivian. Additionally, integrating Verne into the Uber platform from the outset is expected to significantly boost its reach compared to a standalone offering. Finally, Uber is not insisting on exclusivity for its booking platform; instead, it will be complemented by 'Verne's own customer-facing platform', representing a hybrid approach to booking. Road tests already underway in Zagreb. As part of the collaboration, the partners have already begun road tests in the Croatian capital, Zagreb. However, these tests do not yet use Verne's self-developed robotaxi but rather a robotaxi based on the Arcfox Alpha T5, equipped with Pony.ai's Gen-7 autonomous driving system. Zagreb is then set to host the launch of Europe's first commercial robotaxi service - provided no other project beats them to it. Verne will lead the market introduction and the process of obtaining European approval, while coordinating the deployment of Pony.ai's robotaxis within the networks of both Verne and Uber. Verne will act as both the fleet owner and service operator. Autonomous mobility for Europe. "Europe needs autonomous mobility that can move from testing to a real service," says Marko Pejkovic, CEO of Verne. "At Verne, we are bringing together the technology, platform, and operational capabilities required to make this a reality, starting in Zagreb before expanding to new markets." One question remains: what is the status of Verne's self-developed robotaxi, which relies on Mobileye technology? A query from electrive to Verne on this issue remains unanswered and Electrive will provide an update if a response is received. However, the facts remain: Verne's own robotaxi factory near Zagreb is set to commence operations this year, while the company announced the completion of 60 verification prototypes last November. It is therefore likely that Verne is using the launch with the Arcfox vehicles in Zagreb to bridge the gap until its own vehicles are ready, while simultaneously gaining real-world experience in fleet management and booking platforms. Electrive has also sought clarification from Verne on this matter and are awaiting a response. 0 comments. about "Verne robotaxi service partners with Uber and Pony.ai for launch" Your email address will not be published. Required fields are marked *
Audi mapping vehicle spotted in Dresden. - March 26, 2026 Why it matters. Accurate HD maps are critical for safe autonomous navigation, giving Audi a competitive edge in Europe's rapidly evolving self-driving market. The data collected in historic city centers addresses one of the toughest challenges for driverless technology. Key takeaways. * - Audi deployed mapping car to capture Dresden's street data. * - Vehicle equipped with lidar, cameras, and high-precision GPS. * - Data supports Audi's autonomous driving and advanced navigation systems. * - Mapping fleet expands across Germany, targeting complex historic cityscapes. * - Regulators monitor privacy, ensuring compliance with European data laws. Summary. Audi's high-definition mapping vehicle was photographed navigating the narrow, cobblestone streets of Dresden's Old Town. The car, bearing German plates IN 1127, is equipped with lidar, cameras, and precision GPS to collect detailed road geometry and sensor data. This deployment is part of Audi's broader effort to build a continent-wide HD map network for its future autonomous-driving platforms. The sighting confirms the company's active field testing in complex European urban environments. Pulse analysis. Audi's mapping vehicle in Dresden illustrates the automaker's commitment to building the granular, high-definition maps required for Level 3 and beyond autonomous driving. Unlike conventional navigation maps, HD maps capture lane markings, curb heights, and even surface textures, enabling vehicles to anticipate road conditions with millimeter precision. By deploying sensor-rich cars in historic districts - where narrow lanes, uneven cobblestones, and irregular signage abound - Audi gathers data that many rivals overlook, positioning itself to launch reliable self-driving services in Europe's most challenging urban settings. The technology stack on the mapping car combines 64-beam lidar, 12 high-resolution cameras, and dual-frequency GNSS receivers, feeding terabytes of raw data into Audi's cloud-based mapping platform. This data is then processed using AI-driven algorithms that stitch together 3-D point clouds, generate semantic road models, and validate against regulatory standards. As European governments tighten privacy and data-security rules, Audi must balance extensive data collection with strict compliance, anonymizing any personally identifiable information captured during street runs. Strategically, the Dresden sighting signals Audi's broader rollout of a continent-wide HD map network, mirroring moves by competitors such as Tesla, Waymo, and Mobileye. With Germany's dense network of historic city centers, mastering these environments could unlock a sizable market for autonomous ride-hailing and logistics services. Investors and industry observers will watch how quickly Audi can translate this raw mapping data into commercial autonomous offerings, potentially reshaping mobility in the EU. Mario Herger This Audi mapping vehicle was spotted by Andreas Preuß in Dresden's Old Town, where it was systematically driving down the streets.
Mobileye has secured a deal with a leading US automaker to integrate its Driver Monitoring System into future vehicles using the company's EyeQ6L system-on-chip, with production starting in 2027. The programme will span multiple models and model years, expanding an existing advanced driver-assistance system partnership. The Mobileye DMS uses driver gaze and attention data alongside real-time road context to detect distraction. It operates with the company's Occupant Monitoring System on a single chip, enabling in-cabin sensing and exterior road perception within one platform. The system is designed to meet Euro NCAP 2026 scoring requirements and anticipates 2029 protocol updates. However, Wedbush analysts noted the deal represents "incremental revenue" whilst viewing driver monitoring as "a relatively limited feature set" compared to full ADAS capabilities being developed by competitors like NVIDIA and Tesla. Mobileye shares rose nearly 4% following the announcement.
Mahindra partners with Mobileye to bring advanced driver assistance to future vehicles. 2 minutes read 19th March 2026 Mahindra & Mahindra has announced a major step toward smarter and safer mobility by selecting Mobileye's latest EyeQ6-based advanced driver assistance systems (ADAS) for its upcoming vehicle lineup. The collaboration will see Mobileye's SuperVision and Surround ADAS platforms integrated into at least six future models, with production expected to begin from 2027. These systems are powered by the EyeQ6 High system-on-chip, a next-generation processor designed to combine multiple driving and safety functions into a single, highly efficient electronic control unit. The new technology aims to significantly enhance both safety and driving convenience. The SuperVision platform uses a combination of 11 cameras and optional radar sensors to enable features such as navigate-on-pilot, advanced parking, and driver monitoring in controlled conditions. Meanwhile, the Surround ADAS system relies on five cameras and multiple radars to support hands-free, eyes-on highway driving along with enhanced parking and perception capabilities. By consolidating functions like perception, mapping intelligence, and occupant monitoring into one system, the solution simplifies vehicle architecture while improving performance and cost efficiency. This move reflects Mahindra's growing focus on software-defined vehicles and advanced safety technologies, especially as demand for ADAS continues to rise in India and global markets. The partnership also strengthens Mobileye's role as a key technology supplier, positioning it as a Tier 1 partner for Mahindra's next-generation platforms. Industry trends indicate that such integrated ADAS solutions will play a crucial role in the transition toward semi-autonomous driving, offering scalable features that can adapt to different vehicle segments and regulatory environments. Overall, the collaboration highlights a broader shift in the automotive industry where automakers are increasingly relying on AI-powered systems and centralized computing platforms to deliver safer, smarter, and more connected driving experiences in the years ahead. The collaboration between Mahindra & Mahindra and Mobileye brings several strategic and practical benefits, both for the company and end users: 1. Enhanced Vehicle Safety Mobileye's advanced ADAS technology significantly improves road safety by enabling features like collision avoidance, lane-keeping assist, and driver monitoring. This reduces accident risks and aligns Mahindra with global safety standards. 2. Faster Move Toward Autonomous Driving By integrating Mobileye's EyeQ6 platform, Mahindra takes a strong step toward semi-autonomous driving capabilities. Features like hands-free highway driving and automated parking bring the brand closer to future-ready mobility. 3. Improved Driving Experience Drivers benefit from smarter assistance systems that reduce fatigue, especially during long highway journeys. Navigation-based driving support and intelligent perception systems make driving smoother and more convenient. 4. Cost and System Efficiency Mobileye's integrated architecture combines multiple functions into a single chip. This reduces hardware complexity, lowers costs over time, and simplifies vehicle design compared to traditional multi-ECU systems. 5. Competitive Advantage in the Market With rising demand for ADAS in India and globally, this partnership helps Mahindra position itself as a technology-forward brand. It strengthens its appeal among safety-conscious and premium vehicle buyers. 6. Scalability Across Models The solution can be deployed across multiple vehicle segments, allowing Mahindra to standardize advanced safety features in a wider range of cars rather than limiting them to top-end models. 7. Strong Technology Ecosystem Partnering with Mobileye gives Mahindra access to cutting-edge AI, mapping, and sensor technologies, ensuring continuous upgrades and long-term innovation support. Overall, this collaboration helps Mahindra deliver safer, smarter, and more future-ready vehicles while staying competitive in the rapidly evolving automotive landscape. Post Views: 445
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Industries
Automotive & Transportation
AI & Machine Learning
Company Size
1,001-5,000
Company Stage
IPO
Headquarters
Jerusalem, Israel
Founded
1999
Find jobs on Simplify and start your career today