FEV and Nature Architects collaborate on the development of AI-supported, innovative vehicle structures

Share

Aachen/Tokyo – Leading international engineering service provider FEV and Japanese technology company Nature Architects (NA) have agreed on a strategic collaboration. The goal is to jointly develop novel vehicle structures that set new standards in lightweight construction, functionality, and development dynamics through innovative design methods using artificial intelligence.

Proven crash safety with optimized weight: FEV and Nature Architects use artificial intelligence to develop innovative car body designs. Source: Nature Architects
Proven crash safety with optimized weight: FEV and Nature Architects use artificial intelligence to develop innovative car body designs. Source: Nature Architects

Both companies are contributing their respective strengths to the collaboration: FEV has extensive experience in vehicle development, providing platform data and benchmark models. Nature Architects complements this with a proprietary design platform based on AI-supported form finding, metamaterials, and origami engineering.

An initial joint project to optimize a side impact structure has already been successfully completed. This resulted in a weight reduction of up to 51 percent in the sill reinforcement while maintaining the same energy absorption and thus the same level of passenger safety. The results of this innovative approach, which shortens development times and thus opens considerable cost-saving potential, were then successfully validated in the overall vehicle model.

“With Nature Architects, we gain a partner whose unique design platform ideally complements our portfolio,” said Michael Hog, Group Vice President Vehicle at FEV. “Together, we are creating the basis for a completely new, functionally and weight-optimized component design for our customers, regardless of whether the underlying requirement comes from the areas of deformation, vibration, acoustics, heat transfer, or flow.”

“Our platform allows us to develop new structural concepts beyond human intuition,” says Tomoya Hayashi, Project Manager at Nature Architects. “Combined with FEV's engineering expertise, this creates a space for innovation with high customer value.”

The cooperation underscores FEV's leading AI expertise across the entire development chain, measurably reducing development costs and significantly shortening time-to-market.

Press Release: https://fev.group/7sl

Keywords

Images

Proven crash safety with optimized weight: FEV and Nature Architects use artificial intelligence to develop innovative car body designs. Source: Nature Architects
Proven crash safety with optimized weight: FEV and Nature Architects use artificial intelligence to develop innovative car body designs. Source: Nature Architects
Download

Subscribe to releases from FEV Group

Subscribe to all the latest releases from FEV Group by registering your e-mail address below. You can unsubscribe at any time.

Latest releases from FEV Group

Generative AI accelerates homologation: FEV simplifies country-specific type approval processes10.7.2025 11:00:00 CEST | Press release

Aachen – Vehicle development doesn’t end with technical readiness: The road to global market launches is only complete once homologation has been successfully achieved. The increasing complexity of national regulations poses growing challenges to OEMs and suppliers. FEV addresses these with an innovative, AI-based approach: The company-wide used ‘FEV GenAI Hub’ significantly simplifies and accelerates the analysis of regulatory requirements across different global markets, offering time and cost savings that can provide customers with a decisive competitive edge.

FEV develops AI-supported driver monitoring system CogniSafe9.1.2025 11:00:00 CET | Press release

Aachen – FEV, a leading global innovation driver for the mobility of tomorrow, presents CogniSafe, a state-of-the-art Driver Monitoring System (DMS) that significantly increases road safety. The system uses advanced technologies such as deep learning and computer vision to monitor driver conditions such as distraction, fatigue and inattention in real time and under even the most challenging conditions.

World GlobeA line styled icon from Orion Icon Library.HiddenA line styled icon from Orion Icon Library.Eye