Mobileye sold self-driving tech for 25 years. Now it is launching its own robotaxis

Mobileye, which for 25 years has supplied automakers with cameras, chips and software for driver assistance and autonomous driving, has announced its own robotaxi service. Its technology is installed in 230 million vehicles worldwide, yet the company has never sat behind the wheel itself. On June 16, 2026, that changed: the Jerusalem-based firm is moving from supplier to operator. For a company that deliberately avoided this role, the decision is a strategic U-turn. Mobileye will need new skills, including dispatching, customer service, insurance and dealing with city authorities and regulators.

AI-processed from TNW; edited by Hamidun News
Mobileye sold self-driving tech for 25 years. Now it is launching its own robotaxis
Source: TNW. Collage: Hamidun News.
Listen to article
Article Fact Sheet & Key Figures
ParameterDetails
Primary sourceTNW ↗
Editor-in-Chief
Key metric #125 years of work in computer vision and machine learning
Key metric #2Its own EyeQ chips, optimized for autonomous driving tasks
Key metric #3Partnerships with dozens of automakers worldwide, including BMW, Volkswagen, SAIC and others

Mobileye, which for 25 years has supplied carmakers with cameras, chips and software for autonomous driving, has announced a move into an entirely new niche: it intends to launch its own robotaxi service.

The supplier becomes the operator

For a quarter of a century, Jerusalem-based Mobileye followed a clear strategy: sell technology and stay out of the transportation business. The supplier model worked flawlessly. The company equipped hundreds of partners worldwide with driver-assistance systems, from German premium groups to Chinese mass-market manufacturers. Its EyeQ processors are built into dozens of car models that drive every day on roads across six continents.

On June 16, Mobileye announced a change of course. The company plans to operate a fleet of driverless taxis itself: not just to sell the "brain" for a car, but also to run the rides, deal with passengers and work with city infrastructure. For a company that deliberately avoided this role, the decision is a strategic U-turn.

Where the confidence comes from

Mobileye has an asset most competitors lack: its technology is installed in more than 230 million cars. That means years of data on real-world driving behavior across countries, climates and urban scenarios. Mobileye's algorithms have "seen" road situations that many startups still simulate in virtual tests.

  • 25 years of work in computer vision and machine learning
  • Its own EyeQ chips, optimized for autonomous driving tasks
  • Partnerships with dozens of automakers worldwide, including BMW, Volkswagen, SAIC and others
  • Proven algorithms for recognizing pedestrians, lane markings and obstacles
  • A large store of real-world traffic data from hundreds of millions of vehicles

All of this is a foundation built over decades, one that a startup starting from scratch cannot reproduce with a few years of venture funding.

Competition in an overheated market

The market Mobileye is entering is already crowded. Alphabet's Waymo carries paying passengers in several American cities. Baidu Apollo operates in China. Tesla has announced the Cybercab and its own robotaxi network. Amazon is developing Zoox. Each of these players has spent billions on building fleets, refining operations and obtaining licenses.

Mobileye is taking a different approach: instead of building cars from scratch, it is turning its accumulated technological expertise into an operating business. That is potentially a less capital-intensive path, but it demands entirely new competencies: dispatching, customer service, insurance, and dealings with city authorities and regulators. This is exactly where Mobileye has no proven track record.

What it means

Mobileye's move into robotaxis erases a line that long looked clear in the industry: some companies build the technology, others operate it. If the company can monetize its 25-year technological head start, it could significantly reshape the balance of power in autonomous transport, and show that a component supplier can become a full-fledged service operator.

Story

Key Questions Answered

What are the key details on The supplier becomes the operator?

For a quarter of a century, Jerusalem-based Mobileye followed a clear strategy: sell technology and stay out of the transportation business. The supplier model worked flawlessly. The company equipped hundreds of partners worldwide with driver-assistance systems, from German premium groups to Chinese mass-market manufacturers. Its EyeQ processors are built into dozens of car models that drive every day on roads across six continents. On June 16, Mobileye announced a change of course. The company plans to operate a fleet of driverless taxis itself: not just to sell the "brain

Where the confidence comes from?

Mobileye has an asset most competitors lack: its technology is installed in more than 230 million cars. That means years of data on real-world driving behavior across countries, climates and urban scenarios. Mobileye's algorithms have "seen" road situations that many startups still simulate in virtual tests. 25 years of work in computer vision and machine learning Its own EyeQ chips, optimized for autonomous driving tasks Partnerships with dozens of automakers worldwide, including BMW, Volkswagen, SAIC and others Proven algorithms for recognizing pedestrians, lane markings

What are the key details on Competition in an overheated market?

The market Mobileye is entering is already crowded. Alphabet's Waymo carries paying passengers in several American cities. Baidu Apollo operates in China. Tesla has announced the Cybercab and its own robotaxi network. Amazon is developing Zoox. Each of these players has spent billions on building fleets, refining operations and obtaining licenses. Mobileye is taking a different approach: instead of building cars from scratch, it is turning its accumulated technological expertise into an operating business. That is potentially a less capital-intensive path, but it demands en

ZK
Zhemal Khamidun — CPO at Alpina Digital, product manager of AlpinaGPT. Building AI products since 2019. Hamidun News is a pet project that grew into a production aggregator with 6,000+ readers.
✦ Hands-On AI Engineering · Hamidun Academy

Build & Ship Production AI Agents Without Boilerplate Code

Start your free 72-hour trial at Hamidun Academy (academy.hamidun.com) — interactive lessons on Claude Code & Cursor, live Tech Radar, and production agent templates.

Start 72h Free Trial →Vibe-Coding Intensive
What do you think?
Loading comments…