Valeo & Zuken: AI platform accelerates EDA in cars

Engineering Valeo and Zuken Combine their Expertise in Electronic Design

2026-06-01 From Berit Klotz | Translated by AI 1 min Reading Time

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Valeo and Zuken are collaborating on the "Zuken Valeo InnoLab," an AI-powered platform for electronics development.

Valeo and Zuken aim to combine their expertise in mobility technologies and electronic design automation.(Image: Valeo) — Valeo and Zuken aim to combine their expertise in mobility technologies and electronic design automation.
(Image: Valeo)

To drastically shorten development times for vehicle electronics, the French automotive supplier Valeo and the Japanese software provider Zuken are joining forces. As the companies announced, a partnership has been established in the field of Electronic Design Automation (EDA). The centerpiece of the collaboration is the joint program "Zuken Valeo InnoLab."

The goal of the collaboration: According to the companies, they aim to create the most advanced and open AI-powered platform for electronic development in the automotive industry. Technologically, the platform combines Zuken's software architecture with the so-called "AI Agents" and Valeo's specific industry expertise.

Virtual Copilots for Engineers

The focus is on an ecosystem where development tools and human engineers collaborate in real-time. Valeo's AI agents are set to act as virtual copilots in the future: they assist engineers in real-time with detailed design, problem-solving, verifying hardware rules, and implementing technical requirements and constraints.

"The strength of Zuken's AI roadmap, combined with the exceptional openness of the architecture, allows us to integrate our own artificial intelligence tools with their platform," explains Christophe Le Ligné, Vice President of Research and Development at Valeo. This approach is the best way to address the increasing complexity in the automotive industry while ensuring 100 percent robustness of electronic designs.

According to the announcement, the joint innovation work is deeply integrated into the development process: with the help of Zuken's "System Planner" and Valeo's generative AI, multi-criteria architectures could be created and evaluated almost at the push of a button in the future. The physical integration of components—the so-called auto-placement and routing—is also accelerated by Zuken's AI algorithms, which Valeo intends to fine-tune using its own training data to meet the specific quality requirements of the automotive industry.

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