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Ethernovia closes $90M+ Series B, led by Maverick Silicon Total raised now tops $150 million Porsche SE, Qualcomm Ventures & AMD Ventures on the cap table World-first single & quad-port 10G-to-1G automotive Ethernet PHY in 7nm Continental partners on a 7nm automotive switch 96 people building the network for physical AI Ethernovia closes $90M+ Series B, led by Maverick Silicon Total raised now tops $150 million Porsche SE, Qualcomm Ventures & AMD Ventures on the cap table World-first single & quad-port 10G-to-1G automotive Ethernet PHY in 7nm Continental partners on a 7nm automotive switch 96 people building the network for physical AI
Company Profile

Ethernovia

The chip startup building the nervous system for cars and robots - one deterministic Ethernet packet at a time.

$150M+
Total Raised
7nm
Process Node
10 Gbps
Peak Per PHY
~96
Employees
Ethernovia physical-AI networking chips

The product, up close. A tray of Ethernovia's automotive and edge networking silicon - the kind of part that never gets a spotlight, yet decides whether a self-driving car reacts in time. Photographed the way you'd shoot a portrait: small, unglamorous, and quietly in charge of everything.

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The Story

A Company That Sells Speed You Cannot See

Here is a fact that sounds boring and is not: a modern car is a small, mobile data center that mostly loses money whenever its data does not arrive on time. Cameras, radar, lidar and a dozen compute boxes all need to talk to each other, constantly, and the moment that conversation stutters, the car's brain is making decisions on stale information. Ethernovia, a roughly 96-person semiconductor company in San Jose, sells the plumbing that keeps the conversation from stuttering. This is a less exciting sentence than "we build AI," and it is arguably a more important one.

The pitch goes like this. Cars used to be networks of small, dumb wires - one bus for the windows, another for the brakes, a tangle of copper that got heavier and more expensive with every feature. That worked when cars did a few things. It does not work when a car wants to drive itself, update its software over the air, and run advanced driver-assistance systems that eat bandwidth the way a teenager eats a data plan. The industry's answer is to move to Ethernet, the same networking standard that runs the internet, and to consolidate all those little computers into a few big ones. Ethernovia makes the chips that make that shift possible: the Ethernet PHY transceivers that push bits down the wire, the switches that route them, and the packet processors that decide what goes where.

"Deterministic networking infrastructure enabling real-time perception, decision and action for physical AI at scale."

The word Ethernovia keeps using is deterministic, and it is doing a lot of work. Regular networks are fast on average, which is fine for streaming a movie and disqualifying for stopping a two-ton vehicle. A deterministic network guarantees not just speed but timing - your data arrives inside a known window, every time, so the car never has to guess. When Ethernovia describes its chips as the "nervous system" and the "reflexes" of a machine, that is the actual claim: not that the network is quick, but that it is predictable enough to trust with a decision.

The engineering flex

In March 2024, Ethernovia unveiled what it called the world's first single and quad-port automotive Ethernet PHY that scales from 10 Gbps all the way down to 1 Gbps in a single device - the ENT11100 and ENT11025 - built on TSMC's 7nm process. Two things are notable here. First, 7nm is a leading-edge node normally reserved for smartphones and data-center chips, not the automotive world, which tends to run a few generations behind for cost and reliability reasons. Bringing it to a car PHY is a way of buying power efficiency and thermal headroom that competitors on older nodes cannot easily match. Second, one chip covering four speeds means an automaker can design its network architecture once instead of picking a different part for every link. In a business where design cycles run for years, "design once" is a genuine selling point, not a slogan.

The Founder

He Already Did This Once

Ethernovia was founded in 2018 by Ramin Shirani and a group of fellow Ethernet-silicon veterans, and Shirani's résumé is the kind that makes strategic investors return phone calls. He co-founded Aquantia, an Ethernet chip company that went public on the NYSE in 2017. Before that he co-founded Enable Semiconductor, acquired by Lucent in 1999. He holds more than 60 patents and is credited as the inventor of Ethernet auto-negotiation - the handshake that lets two Ethernet devices agree on a speed - which is now used across the entire industry. When the person building the car's Ethernet stack is the person who invented a piece of how all Ethernet negotiates, that is a reasonable thing to put on the pitch deck.

The founding team reads like a reunion tour: chief technology officer Hossein Sederat, engineering SVP Roy Myers, and silicon VP Darren Engelkemier all bring deep IC-development backgrounds. This matters more than usual in semiconductors, where the gap between "we have a great architecture" and "we have working silicon that survives a decade under a car hood" is wide, expensive, and littered with startups that never crossed it.

The winner in Ethernet silicon is rarely the fastest chip. It is usually the one that scales - and the one that ships.
The Money

Who Is Buying, and Why It's Telling

In May 2023, Ethernovia closed a $64 million Series A. In January 2026, it closed a Series B of more than $90 million, led by Maverick Silicon, with Socratic Partners, Conduit Capital and CDIB-TEN Capital joining alongside returning backers. That pushes total funding past $150 million. The amounts are respectable for a fabless chip company, but the more interesting line is the investor list: Porsche SE, Qualcomm Ventures and AMD Ventures have all put money in.

Strategic investors like those do not chase narrative; they buy supply chains and option value. Porsche wants to know its future network silicon exists. Qualcomm and AMD sit next door to this problem in compute and connectivity. When a carmaker's holding company, a mobile-chip giant and a data-center-chip giant all show up on the same tiny cap table, the signal is less "this is hot" and more "several people who would know consider this part of the road ahead." The company says it will use the money to accelerate its packet-processor family, expand software and systems work, and support customers across automotive, robotics and industrial markets.

And there is the Continental partnership, announced in 2023, to co-develop a 7nm automotive switch. Tier-one suppliers are cautious institutions; when one agrees to build silicon with a startup, it is a vote that the incumbent way of wiring a car is genuinely up for grabs. That is the whole bet, really: that the automotive network is being rebuilt, that Ethernet wins, and that a focused specialist can out-execute the big general-purpose networking vendors on the part of the problem that touches the car most directly.

What You Can Do With It

The Uses, Minus the Jargon

It is worth being concrete about what Ethernovia's silicon actually enables, because "networking chips" is the kind of phrase that lets your eyes slide off it. Start with ECU consolidation. A modern car can carry dozens of electronic control units - little computers, each bolted to its own function, each with its own wiring. Consolidating them onto a handful of powerful compute boxes connected by fast Ethernet cuts weight, cost and complexity. Ethernovia's PHYs and switches are the links that make consolidation practical, because you cannot collapse forty computers into four unless the four can talk to everything at once, reliably.

Then there is the software-defined vehicle itself - the idea that a car's features should be updated over the air, the way your phone gets new tricks overnight, rather than frozen the day it left the factory. Over-the-air updates and continuously improving driver-assistance features both assume a network with the bandwidth to carry new software and the determinism to run safety functions on top of it. That is the environment Ethernovia designed for: high bandwidth, low latency, low power, and predictable timing, all in a part rated to survive the heat and vibration of an automobile for years.

The company is also pointing the same technology outside the car. Robotics, industrial automation and edge-AI systems have the identical shape of problem - many sensors, central compute, a hard deadline for turning perception into action. Ethernovia's Ethernet Sensor Bridge for NVIDIA Holoscan is a tell here: it takes high-bandwidth sensor data and feeds it into an edge-AI compute platform. If the car was the first customer, "any intelligent machine that has to react to the physical world" is the market the Series B is really buying.

Consolidate forty computers into four, update the car overnight, let a robot react on time. That is the mundane, valuable work of moving data on schedule.
The Competitive Picture

Small Fish, Crowded Pond

Ethernovia is not alone in noticing that cars are becoming Ethernet networks. Marvell, Broadcom, NXP and Microchip all sell into automotive networking, and they are far larger, with existing customer relationships and the kind of balance sheets that let them wait out a slow design cycle. That is the standard hard truth of a chip startup: the incumbents are not asleep, and automakers are conservative buyers who do not switch suppliers on a whim.

Ethernovia's counter is focus and process leadership. The big vendors serve many markets; Ethernovia does one thing and is trying to do it on a more advanced node than the incumbents brought to automotive. Its argument to a carmaker is that a single scalable PHY family, in 7nm, with integrated switching and deterministic behavior, is a better foundation for a network you will ship for a decade than a patchwork of older parts. That argument only wins if the silicon works and the design-ins land - which is why the money is going toward production, software and customer engagement rather than, say, marketing.

The Culture

An Engineer's Company

There is not a lot of theatrical mission-statement energy around Ethernovia, and that appears to be by design. It is a semiconductor company staffed by people who have built Ethernet ICs before, many of them together, at Aquantia and elsewhere. The through-line is craft: patents, standards participation, and the unglamorous discipline of turning an architecture into automotive-grade silicon that does not fail in the field. For a certain kind of engineer, "we are the people who invented auto-negotiation, and now we are doing the car" is a more compelling recruiting pitch than any perk.

Whether the bet pays is a question for the design wins of the next few years - the part of a chip company's story that happens quietly, in engineering labs, long before anyone gets to write the headline. But the shape of the wager is clear, and it is a sensible one: the automotive network is being rebuilt from scratch, the winning standard looks like Ethernet, and there is real value in being the specialist who owns the fastest, most predictable path between a machine's senses and its brain. Ethernovia has the founder, the money and the process node to take the swing. The rest is execution, which in semiconductors is another word for everything.

Follow the Money

Funding, Round by Round

Two rounds, $154M+ total · strategic + venture

Series A · 2023
$64M
Series B · 2026
$90M+
Total Raised
$154M
By the Numbers

Small Company, Large Pipes

Snapshot of the technology and the team

10G
Top PHY speed (Gbps)
15m
Cable reach supported
60+
CEO patents held
2017
Founder's prior IPO (Aquantia)
What They Build

Products & Solutions

01

Automotive Ethernet PHYs

ENT11100 & ENT11025 - the world's first single & quad-port PHYs scaling 10/5/2.5/1 Gbps over up to 15m of car cabling, at the industry's lowest power.

2024
02

Deterministic Packet Processors

A new class of high-performance automotive & edge packet processors built to be the data backbone for physical-AI systems.

2026
03

7nm Automotive Switch

An automotive Ethernet switch co-developed with Continental for software-defined vehicle architectures.

2023
04

Ethernet Sensor Bridge

A physical-AI platform bridging high-bandwidth sensor data into NVIDIA Holoscan edge-AI compute.

2026
05

Software Defined Services

Systems & software for ECU consolidation, over-the-air updates and software-defined vehicle network services.

2023
06

AI / SoC Fabric Interconnect

High-bandwidth, low-latency interconnect for AI compute fabrics inside vehicles and intelligent machines.

Ongoing
The People

Founding Team

RS

Ramin Shirani

CEO & Co-Founder
HS

Hossein Sederat

CTO & Co-Founder
RM

Roy Myers

SVP Engineering · Co-Founder
DE

Darren Engelkemier

VP Silicon Eng · Co-Founder
The Road So Far

Timeline

2018

Founded in San Jose

Ethernet-IC veterans, several from Aquantia, launch Ethernovia to rethink how data moves inside vehicles.

2023

$64M Series A + Continental deal

Closes a $64M Series A and announces a partnership with Continental to build a 7nm automotive switch.

2024

World-first 7nm automotive PHY

Unveils the first single & quad-port 10G-to-1G automotive Ethernet PHY built on a 7nm process.

2026

$90M+ Series B for physical AI

Raises more than $90M to scale packet processors for autonomy and physical-AI machines.

Questions & Answers

The FAQ

What does Ethernovia make?

Automotive and edge semiconductors - Ethernet PHY transceivers, switches and deterministic packet processors - that move data inside software-defined vehicles and physical-AI machines.

Who founded Ethernovia, and when?

It was founded in 2018 by Ramin Shirani (CEO) and fellow Ethernet-silicon veterans including Hossein Sederat, Roy Myers and Darren Engelkemier.

How much has Ethernovia raised?

More than $150 million total: a $64 million Series A in 2023 and a Series B of more than $90 million in January 2026.

Who are the investors?

Backers include Maverick Silicon, Porsche SE, Qualcomm Ventures, AMD Ventures, Fall Line Capital, Socratic Partners and others.

What is "physical AI" in Ethernovia's terms?

AI systems that perceive, decide and act in the real world - like autonomous cars and robots - which need a deterministic, low-latency network to move data fast enough to react in real time.

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