Description

The transformation in the mobility and automotive industry introduced disruptive technologies that are bringing opportunities for more holistic systems and ecosystems in the car. These advancements are not only enhancing established domains like comfort, entertainment and safety but also expanding into emerging areas such as healthcare, wellbeing and next-generation passive and active safety. At the core of these ecosystems are intelligent systems capable of hosting large data models. These models process multimodal data—collected from sensors, user input, and contextual sources—to personalize the driving experience in real-time. They respond dynamically to the physical and emotional state of drivers and passengers, adapting to diverse environments and situations. In the North American market, one of the greatest challenges is its heterogeneity. Customers across the region have widely varying lifestyles, preferences, and expectations. This diversity demands highly adaptive systems that can respond to unique user needs and situational contexts.

Our approach is to create end-to-end value propositions starting with the definition of a real customer needs. For example, challenges like occupants' safety, security, and environmental factors in the region are used as design inputs. We gather data from multiple sources and follow a user-centric design methodology to generate and evaluate solution concepts. These are tested with real users to identify the best-performing option. The selected solution is then validated under industry standards such as ISO and VDA to ensure safety, scalability, and reliability. While leveraging proven enablers such as cameras, radars, computing platforms, and vehicle connectivity, we also integrate cutting-edge innovations in AI, IoT, and Society 5.0 principles. Examples of those solution include Child Presence Detection, Online Remote Start, and Real-Time Vehicle Monitoring—each contributing to more intelligent and responsive mobility ecosystems.