Macnica showcase - SDV integration with RemotiveTopology
At CES 2026, Macnica brought together a broad portfolio of mobility and software-defined vehicle (SDV) solutions - spanning autonomous shuttle buses, private-area autonomous driving, fleet management, and data-driven development for AD/ADAS. As part of Macnica’s SDV One-stop Solution, RemotiveTopology is an important puzzle piece showing how vehicle software development can move earlier, faster, and with fewer hardware dependencies.

Macnica showcase - SDV integration with RemotiveTopology
At CES 2026, Macnica brought together a broad portfolio of mobility and software-defined vehicle (SDV) solutions - spanning autonomous shuttle buses, private-area autonomous driving, fleet management, and data-driven development for AD/ADAS. As part of Macnica’s SDV One-stop Solution, RemotiveTopology is an important puzzle piece showing how vehicle software development can move earlier, faster, and with fewer hardware dependencies.
From autonomous mobility to SDV platforms
One of the key themes in Macnica’s CES showcase is data-driven development — converting real driving data into actionable digital twins and scalable software workflows. RemotiveTopology contributes as a virtual integration environment where:
- Vehicle software components can be orchestrated without physical ECUs
- Signals and system behavior are validated early, using realistic data
- Teams collaborate across organizational and supplier boundaries
This directly supports Macnica’s SDV vision: offering a full lineup of technologies - from real-time OS and middleware to DevOps, OTA, and virtual sensors - that together enable modern, software-centric vehicle development across both in-vehicle and cloud environments.

A practical view on SDV collaboration
Rather than focusing on isolated tools, the CES demo highlights how different SDV technologies can work together as a coherent system. RemotiveTopology acts as a neutral integration and orchestration layer connecting development workflows across domains (AD/ADAS, HMI, vehicle control etc.), recorded and simulated vehicle data, CI pipelines and continuous validation and more.

This approach supports teams working on autonomous mobility, robotics vehicles, and infrastructure-linked automation - especially in environments where access to hardware is limited or timelines are tight.
Check out the latest from us
Join the automotive rebels that #getstuffdone with RemotiveLabs!







