Valeo and Dassault Systèmes partnered to transform its mobility technology research and development through advanced digital integration. This collaboration draws on the strengths of Dassault Systèmes’ ‘Global Modular Platform’ and its ‘Smart, Safe & Connected’ solutions on the sophisticated 3DEXPERIENCE platform, setting the stage for a significant leap in Valeo’s R&D effectiveness, with an expected rollout to over 15,000 users globally.
Recognized for its leadership in automotive technology, Valeo will implement the 3DEXPERIENCE platform throughout its operations. This strategic deployment is set to streamline product complexity management and strengthen Valeo’s robust portfolio in hardware and software solutions—key areas such as electrification, driving assistance systems, and automotive lighting stand to gain.
The partnership facilitates Valeo’s access to its extensive archive of historical data, enabling the company to spark innovation and make knowledgeable decisions through advanced, pertinent technology.
Christophe Périllat, Chief Executive Officer at Valeo, emphasized the company’s role as a trailblazer in the automotive landscape. “At Valeo, we are proud to be the key innovation partner of our clients. Our more than 20,000 engineers develop innovative solutions combining hardware and software and leveraging AI to make tomorrow’s mobility safer and more sustainable. Thanks to our partnership with Dassault Systèmes, our teams will have more efficient solutions enabling digital continuity to support our world leading R&D activities,” Périllat commented.
Pascal Daloz, CEO of Dassault Systèmes, addressed the sharp competitiveness of the automotive industry and the imperative to prioritize sustainability while tailoring experiences that resonate with consumers. “We’re elevating our long partnership with Valeo to foster this spirit of innovation and further support its transformation to a tech company for the automotive industry,” stated Daloz. He also praised the unique properties of the 3DEXPERIENCE platform, which integrates generative AI to blend scientific models with real-world data across the vehicle’s lifecycle.
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