NexoMira builds platform software for software-defined vehicles, combining in-vehicle embedded systems with cloud-based infrastructure to enable features like digital cockpits, ADAS, and remote diagnostics. The company supports the full automotive software lifecycle, from bootloader and kernel programming to cloud-based digital twins and DevOps pipelines. Their solutions target both legacy platforms and next-generation zonal architectures.
Funding
Funding not disclosed
Founders
Product
Problem
Modern vehicles are becoming software-defined, requiring complex integration of embedded systems, connectivity, and cloud services. Automakers face challenges in developing and maintaining these platforms across legacy and next-generation zonal architectures, while also ensuring safety, security, and continuous software updates.
Solution
NexoMira provides advanced platform software solutions for next-generation mobility, specializing in both in-vehicle and cloud-based systems. Their in-vehicle expertise covers embedded systems, infotainment, middleware, and intelligent systems, enabling functions like digital cockpits, ADAS, and telematics. On the cloud side, they offer digital twin simulations, automotive-grade DevOps pipelines, and vehicle data platforms that bridge the gap between the car and backend infrastructure. This full-stack approach supports the entire automotive software lifecycle, from development to deployment and over-the-air updates.
Target Audience
Primary customers are automotive OEMs, tier-1 suppliers, and mobility technology companies developing software-defined vehicles who need comprehensive platform software for both in-vehicle and cloud environments.
Features
- In-vehicle software development including bootloader, BSP, device drivers, firmware, hypervisor, and kernel programming
- Infotainment and HMI integration with middleware, communication stacks (Automotive Ethernet, A2B, MOST, CAN), and operating systems (Yocto Linux, Android Automotive, QNX)
- Intelligent systems using AI, ML, computer vision, and generative AI for advanced driver assistance and fusion algorithms
- Cloud-based vehicle data platforms, digital twin simulations, and automotive-grade DevOps pipelines
- Support for AUTOSAR (classic and adaptive), cybersecurity, and functional safety standards