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Driving AI

for autonomy at scale

What do we see as the most essential elements for building truly robust AI in autonomous vehicles?

AI must be pragmatic

By combining end-to-end neural networks and purpose-built models, our Compound AI System knows how to effectively and pragmatically tackle perception, path planning and decision making. Instead of relying on a single neural network, the system is designed to use the best tool in its toolbox for the given task. Each part is designed to perform its role reliably and efficiently as part of a unified system.

Technology overview

AI must be lean

Mobileye’s EyeQ™ SoC and modular ECU series are tightly integrated to deliver powerful AI in a cost-effective, energy efficient, and production-ready form. This hardware and software backbone supports scalable architectures, enabling automakers to start anywhere on the autonomy spectrum and build upward with efficiency.

EyeQ™ System-on-Chip

AI must be adaptable

From ADAS to robotaxis, we help automakers deliver what they aspire to create using customizable AI solutions that elevate their products and brands. Working across the board within the mobility ecosystem, we help our customers launch passenger and commercial vehicles built on deployable AI.

Solutions overview

AI must be safe

Mobileye systems are built with robust safeguards, including multiple formal safety models. Redundancies are also employed in key technologies across our hardware, software, and AI processes to support safe decision making. Our focus is on building driving systems that are not only intelligent but also grounded in rigorous validation ready for real-world deployment.

What do we see as the most essential elements for building truly robust AI in autonomous vehicles?

AI must be pragmatic

By combining end-to-end neural networks and purpose-built models, our Compound AI System knows how to effectively and pragmatically tackle perception, path planning and decision making. Instead of relying on a single neural network, the system is designed to use the best tool in its toolbox for the given task. Each part is designed to perform its role reliably and efficiently as part of a unified system.

Technology overview

AI must be lean

Mobileye’s EyeQ™ SoC and modular ECU series are tightly integrated to deliver powerful AI in a cost-effective, energy efficient, and production-ready form. This hardware and software backbone supports scalable architectures, enabling automakers to start anywhere on the autonomy spectrum and build upward with efficiency.

EyeQ™ System-on-Chip

AI must be adaptable

From ADAS to robotaxis, we help automakers deliver what they aspire to create using customizable AI solutions that elevate their products and brands. Working across the board within the mobility ecosystem, we help our customers launch passenger and commercial vehicles built on deployable AI.

Solutions overview

AI must be safe

Mobileye systems are built with robust safeguards, including multiple formal safety models. Redundancies are also employed in key technologies across our hardware, software, and AI processes to support safe decision making. Our focus is on building driving systems that are not only intelligent but also grounded in rigorous validation ready for real-world deployment.

Mobileye technology is embedded in vehicles worldwide

Redefining how we move today, while shaping the AI of tomorrow

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