Mobileye’s automotive business is already tracking an estimated $24.5 billion revenue pipeline over the next eight years, a scale that makes its move into humanoid robots less a side project than a second act.
The company has agreed to acquire Mentee Robotics in a deal valued at $900 million, paid with about $612 million in cash and up to 26.2 million Mobileye Class A shares. Mentee is expected to continue operating as an independent unit, with the transaction targeted to close in the first quarter of 2026.
For Mobileye, the engineering logic centers on convergence: the same ingredients that allow a vehicle to perceive, predict, and plan in the real world can be repackaged for a bipedal machine operating on factory floors. Mobileye has spent decades turning computer vision, mapping, and safety models into production-grade systems for carmakers. Mentee has spent four years building what it describes as a third-generation humanoid platform, aiming to reduce dependence on teleoperation and heavy real-world data collection by leaning on simulation and “human-to-robot mentoring.” The combination effectively treats a humanoid as the next “vehicle” one that must navigate cluttered spaces, interpret intent, and manipulate objects without constant human supervision.
“Today marks a new chapter for robotics and automotive AI, and the beginning of Mobileye 3.0,” said Prof. Amnon Shashua, Mobileye’s president and CEO.
Mentee’s roadmap highlights why compute, validation infrastructure, and manufacturing relationships matter as much as model quality. Mobileye has indicated first on-site proof-of-concept deployments are expected in 2026, with series production and commercialization targeted for 2028. In practical terms, that sequencing frames humanoids as an industrial systems problem before they become a consumer product category.
Safety is the other thread tying the two worlds together. Humanoids designed to work near people, carts, pallets, and delicate equipment face hazards that extend beyond collision avoidance: unpredictable human motion, shared workspace etiquette, and auditable decision-making. Standards work has moved in parallel, including ISO 13482 safety requirements for service robots, which formalizes risk-focused design expectations for non-medical service robots that may operate in close proximity to humans.
Mobileye has positioned its contribution as a safety-first autonomy discipline built for scale, including Responsibility-Sensitive Safety (RSS) and redundancy architectures. The acquisition also broadens how Mobileye’s production know-how could be applied: humanoids demand compact actuators, reliable motor control, battery design suited for uptime, and edge-compute efficiency that mirrors automotive constraints.
The deal is expected to increase Mobileye’s 2026 operating expenses by a low single-digit percentage, a modest accounting line item relative to the larger engineering wager: that the most valuable “physical AI” platform is the one that can be validated, manufactured, and deployed repeatedly in environments built for humans.
