The company that decided a self-driving car should read the road the way a person does - with cameras, and nothing else.
There is a longstanding argument in autonomous driving that goes roughly like this: the road is dangerous and unpredictable, so you should throw every sensor you can afford at it - lidar to measure distance, radar to see through weather, high-definition maps to remember what the cameras might miss. More sensors, more redundancy, more safety. It is an intuitive position, and it is expensive, and Nullmax has spent nearly a decade arguing that it is wrong.
Nullmax's position is that a car should drive the way a human does - by looking. Cameras, deep learning, and a lot of training data, but no lidar and no pre-built high-definition maps. This is not a cost-cutting compromise dressed up as a philosophy; it is closer to a genuine philosophy that happens to also cut costs. If it works, you get autonomy that is cheap enough to put in ordinary cars. If it doesn't, you have removed the safety net that everyone else insisted on keeping.
The interesting thing about Nullmax is that the technology is already in cars people buy. This is a company that ships, which in the autonomous driving world - a field with an unusually high ratio of impressive demos to actual products - is worth paying attention to.
Nullmax was founded in 2016 by Lei Xu, who holds a PhD in computer science from the State University of New York at Buffalo, several U.S. computer-vision patents, and - most relevant to the story - a stint on the core team that built Tesla's Autopilot 1.0 and 2.0. That is a useful line on a resume when your entire company is premised on the idea that cameras plus neural networks can drive a car, because that is more or less the idea Tesla has been running the largest real-world experiment on for years.
Xu is founder, CEO, and CTO, which tells you something about the size and shape of the company: technical at the top, lean by design. Justin Song rounds out the founding team as co-founder and COO. Nullmax began in Silicon Valley and did most of its actual engineering in Shanghai, a structure that has become common for deep-tech companies where the talent, the manufacturing, and the demand don't all live in the same time zone.
"Bring AI-First Mobility to Life."
Nullmax sells software, not hardware - the driving brain that automakers drop into cars they already know how to manufacture. That is a deliberate business decision, and it shapes everything about the products.
A platform-based automated driving stack that is chip- and sensor-agnostic. It runs on different computing platforms - TI's TDA4, NVIDIA's Orin - and different sensor setups, so an automaker isn't locked into one silicon vendor. Being the software layer, not the chip, means every carmaker is a potential customer instead of a rival.
An end-to-end, vision-only, map-free, multimodal driving system. It takes camera input - plus voice, text, and gesture - and outputs scene descriptions and driving behavior. It runs on under 100 TOPS of sparse compute, which is notably modest for full-scenario autonomy.
A dual platform pairing data infrastructure with algorithm development. Its trick: using AI-generated (AIGC) virtual data to synthesize rare corner cases - the double-parked truck, the pedestrian who steps out - that you can't reliably film in the wild but can teach a model to expect.
Data you can't collect, you can synthesize. Nullmax generates its own edge cases so the car has already 'seen' the thing that only happens once.
Nullmax is a B2B company, so "you" here mostly means an automaker or a Tier 1 supplier rather than a driver. If you build cars, Nullmax offers a way to add advanced driver assistance and higher-level autonomy without committing to a lidar bill of materials or building a perception team from scratch - and without betting your whole program on a single chip vendor, since the stack is designed to be portable across platforms.
For the person eventually sitting in the car, the payoff is the ordinary-sounding stuff that is genuinely hard to do well: traffic-jam assistance, highway driving, automated valet parking, and the kind of full-scenario driving that doesn't fall apart the moment the lane markings do. Because the approach is camera-first and map-free, it isn't confined to the handful of routes someone bothered to map in high definition.
Roughly $126-142M raised across strategic, Series A, a $110M Series B, and a Series C closed in December 2025. The cap table leans strategic - suppliers and industrial backers who want the technology to reach production, not just to exist.
| Round | Amount | When | Notable investors |
|---|---|---|---|
| Strategic | Undisclosed | 2019 | Desay SV Automotive |
| Series A | Undisclosed | 2020-2023 | FutureX Capital |
| Series B | $110M | 2023 | Stonehill Technology |
| Series C | ~$19.45M (tranche) | Dec 2025 | Yanshan Investment, Xinmao Technology |
Note: figures are approximate and drawn from public filings and databases; totals vary by source.
Bars are illustrative and not to a common scale.
Lei Xu, a former Tesla Autopilot core member, starts Nullmax on a "machine learning first" thesis.
Traffic Jam Pilot, Highway Assist, and Autonomous Valet Parking arrive; Desay SV comes in as a strategic investor.
FutureX Capital backs a Series A as major Chinese automakers place mass-production orders.
Stonehill Technology leads a $110M round, opening the "Max 3.0" era of global expansion.
NI debuts as a vision-only, map-free, end-to-end multimodal system; H1 revenue lands near $4.7M.
Full-stack solutions shown at Auto Shanghai 2025; a Series C round closes in December.
Nullmax's partners are the companies that put its software into production; its rivals are everyone else claiming cameras - or lidar - are the answer.
Desay SV - Tier 1 supplier and strategic investor. Stonehill Technology - Shenzhen-listed controlling shareholder and Series B lead. NVIDIA - Orin and Jetson AGX Xavier compute. Texas Instruments - TDA4 processors for cost-efficient ADAS.
Momenta, Horizon Robotics, Pony.ai, WeRide, Mobileye, and comma.ai - plus the in-house autonomy teams at automakers like Tesla and XPeng. Some share the vision-only faith; others are still betting on lidar and maps.
It builds vision-only, map-free autonomous driving software - MaxDrive and Nullmax Intelligence - that automakers integrate into mass-produced cars.
Lei Xu, a former core member of Tesla's Autopilot team, founded it in Silicon Valley in 2016. Justin Song is co-founder and COO.
No. The approach is camera-based (vision-only) and does not rely on lidar or high-definition maps.
Founded in Silicon Valley and headquartered in Shanghai, China, with a U.S. office in Fremont, California.
Roughly $126-142M across strategic, Series A, a $110M Series B, and a Series C closed in December 2025 - backers include Desay SV, FutureX Capital, and Stonehill Technology.
Product demos and executive interviews are posted on the Nullmax YouTube channel (@Nullmax).