Oracle AI World, LAS VEGAS – October 13, 2025 — Tensor, an American AI company dedicated to building agentic products for individual consumers, is using Oracle Cloud Infrastructure (OCI) AI infrastructure to develop its Tensor Foundation Model. This model powers perception, prediction, and planning for the Tensor Robocar, the world’s first fully autonomous and agentic vehicle built for private ownership. With OCI, Tensor has been able to accelerate AI training and large-scale simulations, helping bring its robocar and future AI projects to market faster.

Tensor’s goal is to deliver a safe, privacy-first, transformative mobility experience, and its Robocar has been designed and built from the ground up to achieve that. Every part of the design and system is engineered to serve AI perception, safety, and reliability. Achieving this requires training, deploying, and evolving a foundation model that processes data from 37 cameras, five LiDARs, and 11 radars per vehicle. To turn this constant stream of multimodal sensor data into reliable driving decisions, Tensor needed infrastructure that was not only highly reliable, secure, and scalable, but also capable of supporting strict global safety standards and ensuring user privacy. Tensor selected OCI to support these requirements as it provides flexible, on-demand GPU compute instances for advanced AI training, high-performance networking for massive data streams, and a security-first design that helps safeguard privacy and compliance.

“Tensor’s core priority is to launch the world’s first personally owned Level 4 robocar and create a new category of autonomous vehicles built around personal ownership,” said Hugo Fozzati, Chief Business Officer, Tensor. “With OCI, we can deliver on that vision by scaling advanced AI infrastructure, meeting global safety and regulatory standards, and managing the massive compute demands of our vertically integrated autonomy stack. OCI allows us to provide a safe, privacy-first mobility experience for individual owners that positions Tensor as a leader in autonomous vehicles and embodied agents as we move toward production.” 

OCI has helped Tensor cut compute costs, boost training efficiency, and speed large-scale simulation and multimodal AI. These improvements help Tensor accelerate testing and production while keeping engineers focused on innovation, not infrastructure.

“Training and scaling advanced AI for autonomous vehicles demands enormous compute power, strict safety compliance, and tight cost control,” said Karan Batta, senior vice president, Oracle Cloud Infrastructure. “With OCI, Tensor gains industry-leading scalability, performance, and efficiency to speed production and deliver personally owned, Level 4 autonomy.”