The automotive industry has long relied on closed ecosystems - call-for-quotes, hidden pricing, locked-in tooling, and endless silos that slow innovation. At RemotiveLabs, we’re doing the opposite, and we just released a free trial of our flagship product, RemotiveTopology.

In this use case, Gergely Simon from NXP showcases a streamlined flow for developing and deploying an AI model for road surface classification. Starting with cloud-based prototyping and shared VSS data streams, the same setup is reused for physical deployment, without rework.

RemotiveLabs and SystemWeaver are proud to announce a strategic collaboration that connects structured systems engineering with iterative software testing. Together, they aim to accelerate the development of Software-Defined Vehicles (SDVs) by eliminating silos between system architecture and software verification.

Bram Bos is a design strategist and automotive HMI expert. As a follow-up to his hands-on guide on testing automotive UIs with real vehicle data, we wanted to dig deeper into two key questions in automotive UX: How can designers succeed in a highly disrupted industry? And why is realism so essential when prototyping?

This is the final article in our series to introduce RemotiveTopology. Virtualization is top of mind across the automotive industry, and with RemotiveTopology, we’ve built a platform designed to meet these challenges head-on.

Josh Wardell reverse-engineered Tesla’s Model 3 and Model Y CAN signals, making vehicle data more accessible to independent developers. His open-source work, including the widely used DBC file and CANserver, has helped democratize automotive data and inspired new tools in the industry.