Bridging System and Software Architectures for SDVs with AI-Powered Workflows

As SDV architecture evolves toward distributed compute across central, zonal, and edge nodes, embedded software complexity is increasing significantly. Addressing this complexity requires an integrated approach that combines domain expertise, robust architecture, and AI-enabled development workflows.

Discover how KPIT and MathWorks enable a model-based development workflow enhanced with AI capabilities. These capabilities support automated requirements for architecture creation, model generation, and validation. Through a concrete example, see how a distributed SDV feature is developed end to end—from system requirements to AUTOSAR^®-compliant implementation—while leveraging AI to improve productivity, reduce rework, and accelerate integration across zonal architectures.