Valeo Google Cloud Gemini Partnership Boosts AI Software Development

Valeo Group has strengthened its collaboration with Google Cloud by rolling out Gemini for Workspace across its global workforce of 100,000 employees. This strategic move focuses on improving productivity, enhancing research and development outcomes, and accelerating innovation cycles. The deployment reflects Valeo’s broader digital transformation strategy, where artificial intelligence plays a central role in streamlining engineering workflows and enabling faster delivery of advanced automotive solutions.

The integration builds upon earlier adoption of AI-driven tools, including Gemini Code Assist, which has already transformed software development within the company. Currently, over 35% of Valeo’s software code is generated using artificial intelligence, significantly reducing development time and improving efficiency. This shift allows engineering teams to focus more on high-value problem-solving tasks while routine coding processes are automated, ensuring faster iteration cycles and improved consistency across projects.

Expansion of Agentic AI Across Engineering Workflows

Valeo is further extending its capabilities by adopting the Gemini Enterprise Agent Platform to implement agentic AI systems. These AI agents are designed to operate autonomously within defined workflows while maintaining human oversight. The company began exploring such technologies around 18 months ago, gradually integrating them into core engineering processes to enhance both productivity and quality control in software development.

Several specialized AI assistants have already been introduced to support different stages of the development lifecycle. These include a Software Testing Assistant capable of generating test cases directly during the design phase, a Software Development Life Cycle Assistant to streamline project execution, a System Requirements Assistant to refine specifications, and a Product Validation Assistant to ensure compliance and performance standards. Together, these tools form a comprehensive ecosystem that improves coordination and reduces manual intervention.

Impact on Autonomous Mobility Innovation

By leveraging agentic workflows, Valeo aims to enhance its engineering capabilities while accelerating the delivery of autonomous mobility solutions. The automation of complex processes enables faster time-to-market without compromising quality or safety. Importantly, human engineers remain actively involved to oversee AI-driven outputs, ensuring that security, reliability, and performance standards are consistently maintained throughout development cycles.

This approach positions Valeo to remain competitive in the rapidly evolving automotive landscape, where software-defined systems and intelligent automation are becoming critical. The collaboration with Google Cloud highlights the growing importance of scalable AI infrastructure in enabling next-generation vehicle technologies and advancing innovation across global engineering teams.

Key AI Deployment Metrics and Tools at Valeo

Frequently Asked Questions

How is Valeo using Google Cloud Gemini to improve software development?
Valeo is leveraging Google Cloud Gemini to automate coding, testing, and development workflows across its global workforce, improving efficiency and accelerating innovation. By integrating tools like Gemini Code Assist and deploying agentic AI systems, the company has achieved over 35 percent AI-generated code. These systems help engineers focus on complex tasks while AI handles repetitive processes. Human oversight ensures quality, security, and compliance, making the development process faster, more reliable, and aligned with modern autonomous mobility requirements.