Ethernovia secures over $90M to power next-gen autonomy and AI networking chips
Press Release, 22 January 2026
Silicon Valley semiconductor startup Ethernovia Inc. has successfully raised more than $90 million in a Series B funding round, marking a major milestone in its mission to reengineer how data moves through autonomous vehicles, smart machines and robotics. The round was led by Maverick Silicon, with backing from Socratic Partners and continued participation from existing investors including Porsche SE, Qualcomm Ventures and Fall Line Capital.
Ethernovia is developing a new class of Ethernet-based packet processors and networking chips designed to serve as the data backbone for “physical AI” systems that is, machines that must sense, reason and act in the real world with deterministic, real-time performance. Traditional vehicle networking architectures struggle with the massive volumes of sensor, vision and AI data generated by autonomous driving systems and advanced driver-assistance features. Ethernovia’s technology aims to overcome these bottlenecks with scalable, programmable Ethernet architectures that can route, aggregate and manage high-bandwidth data streams efficiently and reliably.
At the core of this platform are high-performance packet processors optimized for low latency and power efficiency. These chips provide a unified, Ethernet-centric data fabric capable of supporting next-generation autonomous vehicles, software-defined architectures, robotic perception and control, and other AI-driven applications. By enabling zonal and centralized system designs, Ethernovia’s solutions help reduce complexity, system weight and cost while allowing over-the-air updates and long-term scalability key requirements for modern mobility and industrial platforms.
With this fresh capital, the company plans to accelerate product development, expand its software and systems capabilities, and support broader customer engagements in automotive, robotics and industrial markets. Ethernovia’s success highlights growing investor interest in the foundational technologies underpinning autonomous systems and intelligent machines as the industry shifts toward more capable, connected and software-defined hardware.
Compiled using AI
