AI-powered design that is one of the team

Exploring the latest Secondmind interview in Automotive Powertrain Technology International

Date:

January 1, 2026

In the complex world of powertrain engineering, the pressure to deliver optimal designs quickly is constant. However, traditional design space exploration often relies on the flawed assumption that an engineer's requirements are fixed from the start. A recent supplier interview in Automotive Powertrain Technology International magazine features Secondmind’s Chief Product Officer, Morgan Jenkins, discussing how a more dynamic, AI-powered approach is changing the game for powertrain design engineers.

In the interview, Jenkins explains how Secondmind for Design Space Exploration acts as a "Secondmind" for engineers, rather than a replacement. By assuming that the design process is fluid and requirements will change, the technology enables engineers to explore the global design space more deeply. According to Jenkins, this approach has helped customers uncover three times more feasible designs in half the time, translating directly into substantial cost and time savings.


Secondmind was featured in the January 2026 issue of Automotive Powertrain Technology International magazine


A standout theme in the article is the critical importance of transparency. Unlike black-box AI models, Secondmind’s approach is built on uncertainty quantification, providing engineers with clear confidence indicators. This allows teams to understand not just the answer the AI provides, but the path it took to get there, which is essential for making informed engineering decisions in highly regulated environments.

As the industry faces shifting legislative requirements and the move toward more complex systems, the ability to collaborate effectively across departments is more vital than ever. Jenkins highlights how features like Design Sandbox allow different teams to work independently but safely, ensuring that changes in one area don't cause integration conflicts further downstream. We are thrilled to see our vision for transparent, collaborative AI featured in such a key industry publication.

Read the full interview in Automotive Powertrain Technology International here.

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