Wipro CEO Srini Pallia unveils cloud car prototype, showcases AI-driven SDV tech in Bengaluru
ET Online April 15, 2025 04:22 PM
Synopsis

Wipro CEO Srini Pallia showcased their cloud car ecosystem powered automotive prototype in Bengaluru, highlighting AI-driven solutions for software-defined vehicles (SDV). The platform, unveiled in 2022, aims to provide automakers with a scalable, secure, and cloud-native software solution. This initiative focuses on enhancing vehicle durability, performance, sustainability, and cybersecurity while reducing costs and time to market.

Wipro CEO Srini Pallia
Wipro CEO Srini Pallia was seen posing next to the company’s new automotive prototype at its Bengaluru campus on Monday. The vehicle is powered by Wipro’s cloud car ecosystem, showcasing its capabilities in the emerging space of software-defined vehicles (SDVs), The Times of India reported.

“By utilising AI-driven solutions, we are setting new standards in the automotive sector, focusing on vehicle durability, performance, and sustainability. Through the integration of cutting-edge technologies and our deep domain expertise, we are assisting OEMs globally in the development of software-defined vehicles (SDVs), while also reducing costs and enhancing safety, security, and time to market,” Pallia wrote in a LinkedIn post.

The cloud car ecosystem, designed to bring SDVs to the cloud, operates on a secure, scalable, and hardware-agnostic platform. First unveiled at the Engineering the Cloud Car Ecosystem panel in Barcelona in 2022, the platform offers automakers a cloud-native software solution with end-to-end cybersecurity. It aims to help OEMs innovate faster, reduce costs, and ensure SDVs remain digitally relevant.

Modern vehicles, according to the report, resemble “computers on wheels,” with 30-40 distinct platforms and millions of lines of code. Wipro’s initiative falls under its FullStride Cloud division and integrates technologies such as cloud computing, silicon manufacturing, middleware, and mechatronics. The platform aggregates data from sensors and cameras, enabling vehicles to use AI for autonomous decision-making.

With inputs from ToI
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