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Nissan has announced a three-year extension to its strategic partnership with Monolith, using artificial intelligence (AI) to transform vehicle development and reduce reliance on physical testing. The collaboration forms a key part of Nissan’s global RE:Nissan recovery plan, which aims to bring vehicles to customers faster while driving innovation and operational efficiency.
The partnership, originally implemented to validate testing on the Sunderland-built Nissan LEAF, will now be applied to a wider range of future models in Europe. By combining 90 years of vehicle testing data with Monolith’s AI technology, engineers at Nissan Technical Centre Europe in Cranfield can accurately predict physical test results. This reduces the need for prototypes, streamlines development, and allows engineers to focus on hands-on problem solving and decision making.
The success of the collaboration was first seen in testing bolt joints in vehicle chassis, where AI recommended optimal torque ranges and prioritised additional tests. This approach led to a 17% reduction in physical testing compared with traditional methods, with the potential to halve testing time across Nissan’s European model range.
Emma Deutsch, Director of Customer Orientated Engineering and Test Operations, Nissan Technical Centre Europe, said:
**"By integrating Monolith's advanced AI-driven engineering software and decades of testing data, we're able to simulate and validate vehicle performance with remarkable precision.
"Their machine learning models, trained on a combination of historical test data and digital simulations, allow us to reduce reliance on physical prototypes – cutting development time and resource use significantly. This approach not only accelerates our time to market but also supports our commitment to innovation and sustainability. As we look to the future, AI will play an increasingly central role in how we design, test, and deliver the next generation of vehicles to our customers sooner."**
Monolith’s platform allows engineers to harness historical test data and simulations to predict outcomes, reduce prototype use, and enhance product quality. Tools such as the Next Test Recommender and Anomaly Detector demonstrate how AI can cut development cycles while maintaining vehicle performance and reliability.
Dr. Richard Ahlfeld, CEO and Founder of Monolith, added:
"Our mission is to empower engineers with AI tools that unlock smarter, faster product development. The results of our work with Nissan demonstrate how machine learning can drive efficiency and innovation in automotive engineering. We're thrilled to continue this journey together."
With Monolith’s AI technology, Nissan is set to expand its application to upcoming models, ensuring customers receive new vehicles faster without compromising quality or performance.
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