
Partnership advances on-device AI and next-generation MBUX systems to deliver faster, private, and more intuitive in-car experiences across North America
Mercedes-Benz has announced a multi-year strategic partnership with Liquid AI aimed at transforming the future of in-car intelligence across North America. The collaboration focuses on scaling embedded, on-device artificial intelligence capabilities in upcoming Mercedes-Benz vehicles equipped with third- and fourth-generation MBUX (Mercedes-Benz User Experience) systems, marking a significant step forward in the evolution of software-defined vehicles.
This partnership is centered on delivering a new class of in-vehicle intelligence that operates locally within the car, rather than relying heavily on cloud-based infrastructure. By integrating Liquid AI’s advanced Liquid Foundation Models (LFMs), Mercedes-Benz aims to provide faster, more responsive, and privacy-preserving AI experiences that function seamlessly in real time. These capabilities are designed to enhance how drivers and passengers interact with their vehicles, enabling a more natural, intuitive, and context-aware relationship between human and machine.
At the core of this initiative is a shift toward embedded intelligence—AI that runs directly on the vehicle’s onboard hardware. This approach addresses several key challenges associated with traditional cloud-dependent systems, including latency, connectivity limitations, and data privacy concerns. By processing data locally, the system can deliver immediate responses without requiring constant communication with external servers, ensuring consistent performance even in areas with limited or no network coverage.
The integration of Liquid AI’s technology will significantly enhance the functionality of the MBUX Virtual Assistant, evolving it into a more capable and intelligent system. The upgraded assistant will combine advanced speech recognition, natural language understanding, and contextual reasoning to create a more conversational and human-like interaction experience. Drivers will be able to issue complex voice commands, receive contextual responses, and interact with vehicle systems in a way that feels more intuitive and less mechanical.
This advancement is made possible by Liquid AI’s expertise in developing efficient, low-footprint AI models specifically optimized for on-device deployment. Unlike traditional large language models that require substantial computational resources and cloud connectivity, Liquid’s LFMs are designed to operate within the constraints of embedded hardware. This enables high-performance AI capabilities without compromising speed, efficiency, or privacy.
The partnership is built on the foundation of the Mercedes-Benz Operating System (MB.OS), the company’s proprietary software architecture that underpins its next-generation vehicles. MB.OS provides a unified platform for integrating software, hardware, and AI capabilities, allowing for seamless updates and continuous improvement over the vehicle’s lifecycle. By leveraging this architecture, Mercedes-Benz and Liquid AI can deploy advanced AI features at scale while maintaining a high level of system reliability and security.
Jörg Burzer, Member of the Board of Management of Mercedes-Benz Group AG and Chief Technology Officer for Development and Procurement, emphasized the strategic importance of the collaboration. He noted that the partnership represents a major step toward scaling embedded intelligence within vehicles and enhancing AI-driven speech capabilities for customers in North America. By advancing on-device speech processing, language understanding, and reasoning, the company is laying the groundwork for a new generation of multimodal in-car experiences.
The timeline for this initiative is ambitious, with initial production deployment targeted for the second half of 2026. This timeline reflects both the maturity of the underlying technologies and the urgency with which automotive manufacturers are pursuing AI-driven innovation. As vehicles become increasingly software-defined, the ability to integrate advanced AI capabilities directly into the driving experience is emerging as a key differentiator in the market.
From Liquid AI’s perspective, the partnership represents an opportunity to bring its technology into one of the most impactful real-world applications of artificial intelligence. Ramin Hasani highlighted the significance of the software-defined vehicle as a platform for AI deployment, noting that it requires a rigorous approach to both performance and reliability. He emphasized that Liquid’s models are designed to run efficiently on existing in-vehicle hardware, delivering fast, private, and sovereign intelligence without dependence on the cloud.
The collaboration also reflects a broader industry trend toward hybrid AI architectures that combine the strengths of both edge and cloud computing. While cloud-based large language models (LLMs) remain valuable for certain use cases, embedding AI directly within the vehicle enables more immediate and reliable interactions. Mercedes-Benz’s approach integrates these two paradigms, using embedded intelligence for real-time, mission-critical functions while leveraging cloud resources for more complex or data-intensive tasks.
This dual approach allows the company to deliver maximum value across a wide range of everyday use cases. For example, on-device AI can handle voice commands, navigation assistance, and vehicle controls with minimal latency, while cloud-based systems can provide enhanced services such as advanced data analysis or remote updates. The result is a more robust and flexible AI ecosystem that adapts to the needs of both the vehicle and its users.
Beyond immediate applications, the partnership opens the door to future innovations in areas such as predictive maintenance, personalized user experiences, and advanced driver assistance systems. By embedding intelligence directly into the vehicle, Mercedes-Benz can continuously enhance functionality through software updates, ensuring that vehicles remain up-to-date with the latest technological advancements.
The announcement comes during a significant milestone for Mercedes-Benz, as the company celebrates “140 years of innovation.” This legacy dates back to Carl Benz’s patent for the first automobile in 1886 and Gottlieb Daimler’s development of early motorized vehicles. Over the decades, Mercedes-Benz has consistently been at the forefront of automotive innovation, introducing technologies that have shaped the evolution of mobility.
Today, that legacy continues with a focus on intelligent, connected, and electric vehicles. Models such as the latest S-Class and new-generation electric vehicles exemplify the company’s commitment to combining performance, safety, and cutting-edge technology. The integration of advanced AI capabilities represents the next chapter in this journey, as vehicles become increasingly intelligent and responsive to user needs.
As part of its anniversary celebrations, Mercedes-Benz is also undertaking a global initiative titled “140 Years. 140 Places,” which involves a transcontinental journey showcasing the brand’s heritage, technological achievements, and global presence. This initiative underscores the company’s ongoing commitment to innovation and its vision for the future of mobility.
In conclusion, the partnership between Mercedes-Benz and Liquid AI represents a transformative step in the development of embedded in-car intelligence. By combining advanced AI models with a robust software architecture and a clear focus on user experience, the collaboration is set to redefine how drivers interact with their vehicles. As the automotive industry continues to evolve, innovations like these will play a crucial role in shaping the next generation of intelligent, connected, and autonomous mobility solutions.
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