Stellantis and Mistral AI will deepen their strategic collaboration to integrate AI technologies across multiple areas of Stellantis’ business, from vehicle engineering to in-car experiences. The extended partnership will see Mistral AI’s experiences with large language models (LLMs) and AI-driven automation leveraged to embed AI into many systems and applications across Stellantis enterprise, working to improve data analysis, streamline development cycles, and enhance customer interactions.
A key initiative of this renewed partnership will be the rollout of an upgraded in-car assistant that will offer real-time, conversational support for drivers of Stellantis-brand vehicles. Here, the companies are jointly exploring the development of an AI-powered assistant that functions as a real-time, voice-enabled, user manual that can answer questions on features, troubleshooting, or warning indicators before receiving this guidance through a natural interaction. The assistant itself will be continuously updated, improving and enhancing its capabilities over time, and adaptable to Stellantis’ various brands and models to deliver a seamless and intuitive experience.
Beyond this assistant, the partnership will explore further AI-driven initiatives that will deliver their impacts across the broader vehicle lifecycle. A Stellantis-specific AI-powered tool, called Bill of Materials (BOM) Data Intelligence), will help streamline the analysis of complex component databases. A Mistral AI-powered chatbot will similarly interact with company product data, helping engineers to identify, compare, and optimize part selections to maximize global reuse and efficiency. The partnership’s Vehicles Feedback Data Analysis tool will use AI to automate the processing of data from development fleets and surveys, identifying trends and corrective actions while improving product quality and customer satisfaction.
The collaboration will also facilitate an enterprise chatbot called ‘Club Stellantis’ to help employees in France purchase company vehicles. Optimized for handling queries in multiple languages, the chatbot will be a particular focus of the collaboration as Stellantis launches it in its other European territories. Within production, Stellantis and Mistral AI are assessing the how Mistral AI’s edge computing models can be used to detect manufacturing errors in real time. Integrating these models into the production process, Stellantis says, will allow operators to take corrective action ahead of release, improving quality control and efficiency.
By leveraging AI across multiple touchpoints, Stellantis is ultimately looking to reinforce its commitment to developing innovative, data-driven solutions that enhance its products, as well as the experiences of its customers and employees.
