How Porsche Engineering Uses Data-Driven Development Tools

Porsche Engineering Magazine reports how data-driven development and modular tools accelerate vehicle engineering from testing to series production.

Porsche Engineering is increasingly relying on data-driven development as a central element of modern vehicle engineering. In a recent article published in Porsche Engineering Magazine, the company outlines how a modular tool chain is being used to accelerate development processes across the entire vehicle lifecycle.

The core idea is straightforward: data collected directly from vehicles enables engineers to gain faster insights into how new functions perform under real conditions. This makes it possible to identify issues earlier and refine solutions more efficiently, which is especially important for complex systems such as advanced driver assistance functions.

To support this approach, Porsche Engineering has developed a portfolio of six in-house tools that can be deployed individually or as part of a fully integrated system. AMDA V2 evaluates measurement data directly in the moving test vehicle and assesses functional behavior using defined key performance indicators. The Porsche Engineering Data Gatherer, or PEDG, is designed for use in series production vehicles and allows data to be collected remotely without physical access to the car. The ComBox app complements these tools by turning a standard smartphone into a digital assistant for test drivers, simplifying data capture and transfer during test drives.

A distinctive element of the tool chain is SALLY, a cloud-based large language model platform tailored specifically for vehicle development. Unlike general-purpose AI services, SALLY is connected to domain knowledge from Porsche Engineering projects and supports developers in tasks ranging from understanding requirements to creating and documenting software. All recorded data is stored and organized in the Porsche Engineering Data Hub, a cloud-based data lake, while the PEvIoT platform links vehicles and test systems to the cloud and enables automated deployment and updates of development tools.

The modular structure of the tool chain allows it to be adapted to different customer needs, whether for specific development phases or for use throughout the entire vehicle lifecycle. According to Porsche Engineering, this flexibility reflects a broader industry shift toward software-driven vehicles, where data and cloud infrastructure play an increasingly decisive role. By building and refining these tools in-house, the company aims to respond more quickly to technological change and make its development expertise available not only within the Porsche Group, but also to external industry partners.