Heading towards the Software-Defined Vehicle era, powered by edge AI and open source 

DeepGreen is proud to announce its participation in the Software-Defined Vehicle (SDV) initiative, alongside the ecosystem, to accelerate the adoption of embedded AI, open software architectures, and new in-vehicle experiences.

Through this commitment, our ambition is clear: bring intelligence as close as possible to the field by running AI models directly in the vehicle, next to sensors and safety‑critical systems. This approach reduces dependence on the cloud, improves real-time performance, and enables platforms that are more efficient, reliable, and future-proof.

Open source and interoperability are at the heart of this transformation. By building on projects like Eclipse Aidge, the SDV ecosystem is creating shared building blocks that simplify integration, strengthen trust between stakeholders, and make a true “software-first” approach in automotive possible. DeepGreen is fully aligned with this movement, contributing to these technologies and sharing hands-on feedback from the field. 

In this context, the interview with Pierre Gaillard sheds light on the key challenges of running AI directly at the edge in software-defined vehicles, the central role of open source for interoperability and trust, and how projects like Eclipse Aidge help make SDV platforms more efficient, sustainable, and truly software-driven.
We look forward to continuing these discussions with the community, working on concrete use cases, and demonstrating how edge AI and open source can transform the vehicle into a true software platform.

 🔗 Read the full interview: tinyurl.com/e7bhxk4k