Mobileye

Five of the world’s 10 largest automakers now contribute data to Mobileye REM™. As aggregated real-world driving data grows, so does the ability to maintain maps that are continuously updated to reflect changing road conditions.    Learn more about Mobileye REM™: okt.to/K7pFNa

Today, Mobileye released its financial results for the three months ended June 27th, 2026. Read more here: okt.to/Ap7Ivk

After 27 years leading Mobileye, Founder and CEO Prof. @AmnonShashua plans to step down as CEO once the Board appoints a successor. The Board has offered Prof. Shashua the role of Chairman, allowing him to focus on what has always been at the heart of his work: research, technology, and long-term innovation, while supporting Mobileye's next phase of growth. Read more: okt.to/QLXIeF

NEW: Mobileye Cloud-Enhanced Advanced Driver Assist™ technology will be integrated into select future Stellantis vehicles expected in 2027, supporting safety and convenience features through advanced crowdsourced intelligence. The technology is designed to support selected features, from intelligent lane keeping on unmarked roads to hands-free, eyes-on driving in designated areas and conditions. Read more here: okt.to/tTlAx9

ADAS capabilities are quickly becoming baseline safety requirements, not premium features.  With new regulations emerging across global markets, automakers must navigate increasingly complex expectations around driver monitoring, system accountability, and automated driving safety.  We take a closer look at the regulatory shifts shaping ADAS deployment in 2026: okt.to/3XjcvM

Safety is at the core of what we do.  Every European-made vehicle awarded a 4-star Euro NCAP rating in 2025 was equipped with Mobileye technology.

As ADAS evolves, expectations are shifting, from what systems do to how they behave. Nimrod Brickman, VP Business Development, shares his perspective on what’s driving that change.

The real challenge that remains now with robotaxis is scaling them safely, economically, and collaboratively.  From AI and mapping to regulation and public trust, autonomous mobility depends on an ecosystem working together.  Our latest blog explores what it takes to deploy AV MaaS at scale: okt.to/zCVqaw

Proud to be recognized as the 2026 @Frost_Sullivan Global Passenger Vehicle ADAS Company of the Year. Thanks, @Nasdaq, for the spotlight.

Hands-free driving is going mainstream, but what’s actually behind the shift? At AutoTech Detroit, Mobileye VP of Business Development Nimrod Brickman shares how rising expectations and evolving architectures are pushing driver assistance into a new phase, and what it takes to bring L2+ systems to scale. Watch the full session here: okt.to/3iUITg

NEW: Mobileye today announced plans to expand its robotaxi activities beyond supplying self-driving technology and into full ownership of an autonomous ride-hailing business.    The planned initiative, set to launch in a U.S. city in 2027, combines Mobileye’s autonomous driving capabilities with fleet operations, rider services, and mobility management into a single vertically integrated offering.    The effort adds to Mobileye’s existing model as a supplier to automakers and mobility providers.    Read more here: okt.to/UY3AGO

The future of humanoid robotics faces a challenge: how can a robot learn a new physical task from only a small number of demonstrations? At the Humanoids Summit 2026, Mobileye’s EVP of Humanoids, @liorwolf, shared insights into our AI approach to humanoid robotics. It begins with a strong investment in simulation and Sim2Real technologies. The process starts with a small number of human demonstrations, giving @MenteeBot an initial understanding of the task and its objectives. Mentee is then trained in large‑scale simulated environments, where it can encounter a wide range of task variations before facing them in the real world. We also use curriculum learning to progressively increase task complexity, allowing robots to master prerequisite skills before advancing to more challenging scenarios. Together with strong vertical integration across hardware and software, this approach helps create a scalable path from a limited number of demonstrations to effective real‑world task execution. See Lior’s talk with the breakdown here: okt.to/yiftgW

What comes after feature-by-feature innovation in ADAS? A move toward integrated systems designed to work together, from sensing and decision-making to driver monitoring and interaction. In this @Nasdaq article, Mobileye looks at the industry shift toward centralized ADAS platforms and why system-level design is becoming increasingly important as automakers balance safety, regulation, cost, and performance. Read it here: okt.to/HydQYj

Autonomous technology is a tool. The bigger question is how we use it to make cities better. Chris Lichtmannecker, Director of Autonomous Mobility at Mobileye, discusses why the future of AV could go beyond robotaxis, toward ride pooling, integrated public transport, and more holistic approaches to mobility. Watch the full @LetsRideAI panel, “Realizing the Robotaxi Future: Strategy and Execution,” for more: okt.to/2OVtlz

On June 3 at @CVPR 2026's Workshop on Autonomous Driving (WAD), Mobileye CTO Prof. @shai_s_shwartz will present new research on how AI systems can automatically identify rare but safety-critical failures, understand why they occur, and generate targeted training scenarios to improve performance where it matters most. His keynote, Driving the Long Tail: Efficient Scaling via Automatic Scenario Discovery, will explore Mobileye's latest work on scaling autonomous driving through systematic failure discovery and targeted learning. The workshop features researchers and industry leaders from across the autonomous driving community. 📍 Room 603, Colorado Convention Center, Denver 🗓 June 3, 2026 | 3:00 PM MDT Registered CVPR attendees can also access the workshop virtually. Read the blog: okt.to/1H8iUt View the full agenda: okt.to/XWScs2

Mobileye is honored to be named @Frost_Sullivan's 2026 Global Company of the Year in the Passenger Vehicle ADAS industry for the Excellence in Best Practices category. The recognition highlights our leadership in AI‑powered ADAS solutions that address the evolving safety and scalability needs of global automakers.  Frost & Sullivan’s analysis found that Mobileye stands out in ADAS by delivering across four critical requirements – scalable architecture, cost discipline, safety credibility, and real‑world validation – through a shared technology backbone spanning from base ADAS to full autonomy. Proud to help advance safer driving at global scale. Read more here: okt.to/MRqNtH

The frontier of physical AI isn't the open road, but the long tail. Every day there are new examples of edge cases challenging the scaling of autonomous driving. The industry needs a smarter way to scale – systems that are designed to identify the failures that matter most, understand why they matter, and systematically train against them. Today, we're sharing how Mobileye is tackling the “long tail” problem in autonomous driving with two new proprietary AI tools: Meteor and Genario. Rather than relying only on more data and compute, these systems are designed to identify rare but meaningful failures, understand why they happen, and systematically generate targeted training scenarios to improve performance where safety matters most. Read it here: okt.to/GMPCyX

As safety standards evolve, automakers face growing pressure to deliver higher-performance systems without adding cost and complexity.   Meeting new requirements like FMVSS 127 is not just a technical challenge, but a question of how to scale efficiently.   At Mobileye, we are addressing this with a camera-only approach that simplifies hardware while maintaining the performance needed for next-generation safety.