Our vision of Software-Defined Vehicle (SDV)
New possibilities emerge for vehicles to adapt and evolve over time, offering enhanced features such as enriched navigation, real-time application updates, and heightened security measures.
SDV faces numerous challenges that must be overcome for successful implementation, ranging from creating a new centralised EE architecture with safe connectivity using Agile SW development, to managing data effectively for after-sales and product improvement.
Software evolution, rethinking the car for Software-Defined Vehicle
Overcome your challenges for Software-Defined Vehicle
Bring holistic Safety & Security to your Software-Defined Vehicle
Our expertise:
- Functional Safety
- Cybersecurity (GRC, Architecture, Penetration Test, Security Lab, SOC)
- Data Privacy
Bring holistic Safety & Security to your Software-Defined Vehicle
Thanks to our global network of experts, we mitigate risks across various technical layers, from defining cybersecurity concepts to conducting final pen testing for regulatory compliance validation.
Our expertise:
- Functional Safety
- Cybersecurity (GRC, Architecture, Penetration Test, Security Lab, SOC)
- Data Privacy
Our latest projects:
Software development
Onboard and offboard software, as well as functional applications, are the essential building blocks for future SDV solutions. Our experts develop, test and deliver embedded and connected software and systems while meeting automotive standards.
Our expertise:
- Embedded Software (AUTOSAR)
- Cloud / DevOps / Application & Mobile SW / FOTA
- Quality Assurance
- Methods (ASPICE, SAFe, MBSE)
Our latest projects:
New centralised EE architecture
The centralised EE architecture is the framework of an SDV. Our teams have defined, tested and industrialised EE architectures for major OEMs over the years, including support of the centralised EE architecture. As a cross-industrial partner we also developed a new centralised EE architecture for Aerospace that can evolve over time by OTA-Updates
Our expertise:
- Defining EE Architecture (functional specification, EE features and validation plan definition)
- Network (message set definition, conception and validation)
- Electrical distribution
- Vehicle convergence
- Intersystem validation & integration
Our latest projects:
Get insight from the Data
With our data analytics and AI expertise, we optimise your product’s performance and quality to enhance its reliability based on data from vehicle testing, its in-service lifecycle, and even customer feedback.
Our expertise:
- Data Governance & Management
- Data Engineering
- Data Visualisation
- Data Analytics
- Data Science, AI & AA (Machine Learning/Deep Learning)
Our latest projects:
Access the latest trends and insights
Discover four key success factors for your SDV initiatives
Use these six trends in software testing to power your business
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Automotive SPICE 4.0 – The Process Guide and Workbook
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