Autonomous Vehicle: what are the top startups?
In our autonomous vehicle market deck, you will find everything you need to understand the market
SUMMARY
Applied Intuition is the top autonomous vehicle startup overall today, with Wayve the strongest pure self-driving startup and Gatik the most proven private company already doing fully driverless commercial work.
The ranking changes sharply once public companies and subsidiaries are removed. Waymo remains the operating benchmark, but Alphabet owns it; Zoox belongs to Amazon; Aurora, Pony.ai, WeRide, Kodiak and Momenta are public; and GM absorbed Cruise.
The private AV market is no longer one race to build the next vertically integrated robotaxi network. The strongest companies are splitting the stack: some sell development software, some license the driver, some automate freight, and others enter through supervised production vehicles or industrial sites.
That shift is visible in where capital is concentrating. Recent financings for Wayve, Waabi, Gatik, Nuro, Applied Intuition and Oxa put more than $3 billion behind a small set of companies with very different routes to scale.
Private autonomous trucking is ahead on one of the hardest commercial tests: removing the driver and getting paid for real work. Gatik says it has completed 85,000 fully driverless commercial orders and secured more than $600 million in contracted revenue.
Robotaxis still offer the larger consumer prize, but private startups remain well behind Waymo's scale. The practical strategy now is often to combine a startup's autonomous driver with somebody else's vehicles, marketplace, fleet capital and local operating infrastructure.
Wayve and Waabi are making the biggest technical bet: that a more general AI driver can transfer across cities and vehicle types without the enormous amount of re-engineering that shaped earlier AV programs. If that works at Level 4 scale, the economics of autonomy change considerably.
Nuro's pivot shows how much the business model matters. Licensing its Level 4 driver into Lucid vehicles distributed through Uber gives it a cleaner path to tens of thousands of cars than trying to finance and operate an entire delivery ecosystem itself.
DeepRoute.ai is the outlier on deployment volume. More than 300,000 production vehicles reportedly use its supervised Urban NOA system, giving it a data footprint that most Level 4 startups cannot match, even though human drivers still remain legally responsible.
The broader pattern is that the strongest private AV companies now own a specific layer they can scale without recreating Waymo from scratch. Applied Intuition leads on business strength, Wayve on pure autonomous-driving potential, Gatik on driverless commercial proof, and the next group is differentiated more by model than by a single common metric.
Who actually counts as a top autonomous vehicle startup today?
The top autonomous vehicle startups today are the private companies that have combined serious autonomous-driving technology with either real commercial deployment or a believable path to very large-scale distribution.
That definition immediately changes the list. Waymo is the benchmark in robotaxis, currently carrying more than 500,000 passengers per week and operating across 11 U.S. cities, but Alphabet owns it. Amazon owns Zoox. Aurora, Pony.ai, WeRide, Kodiak and Momenta are public companies. GM absorbed Cruise after ending its standalone robotaxi strategy.
We exclude those companies from the startup ranking while still using them as benchmarks. Otherwise, Waymo's operating scale would overwhelm almost every private startup comparison.
Among private companies, there are several different ways to win. Applied Intuition sells software used to build and test autonomous systems. Wayve and Waabi are betting on AI drivers that can transfer across vehicles and cities. Gatik is already moving freight without a driver onboard. Nuro licenses its Level 4 driver to partners. DeepRoute.ai has put assisted-driving software into hundreds of thousands of production cars. May Mobility runs commercial passenger services, while Oxa focuses on industrial vehicles.
That makes valuation alone a poor ranking method. We care more about what the technology is already doing, how much customers actually use it, and whether the company has found a realistic way to scale.
Why are investors pouring money back into autonomous vehicle startups?
Investors are putting serious money into autonomous vehicle startups again, but today's funding is concentrated around a small group with very different business models.
The latest example is Gatik, which has just raised another $200 million after turning autonomous freight into an operating business. Earlier in 2026, Wayve closed a $1.2 billion Series D and later added $60 million from AMD, Arm and Qualcomm. Waabi raised $750 million, with Uber committing roughly another $250 million if deployment milestones are met. Nuro had already raised $203 million at a $6 billion valuation.
Those four companies alone have attracted more than $2.4 billion of completed recent funding, before counting Uber's contingent commitments. Add Applied Intuition's $600 million financing at a $15 billion valuation from 2025 and Oxa's $103 million Series D first close, and the amount tied up in the current private leaders climbs above $3 billion.
The interesting part is where the money is going. Investors are backing software suppliers, autonomous freight, general-purpose AI drivers and industrial autonomy rather than funding ten nearly identical companies to build their own robotaxi networks from scratch.
| Startup | Recent disclosed financing | What the money is backing |
|---|---|---|
| Wayve | $1.26B completed | AI driver for consumer cars and robotaxis |
| Waabi | $750M completed, plus about $250M contingent from Uber | Autonomous trucks and future robotaxis |
| Applied Intuition | $600M | Autonomy development software and vehicle intelligence |
| Nuro | $203M | Licensed Level 4 autonomous driving |
| Gatik | $200M | Fully driverless regional freight |
| Oxa | $103M first close | Autonomous industrial vehicles |
This market map, featured in our autonomous vehicle market deck, highlights top companies and startups in the autonomous vehicle market
Are robotaxis or autonomous trucks further ahead commercially?
Autonomous trucks are currently giving private startups the clearest proof of fully driverless commercial work, while robotaxis have the much larger long-term consumer market.
Waymo shows what robotaxi scale can eventually look like. The Alphabet company now handles more than 500,000 rides per week. Private startups remain far behind that benchmark. Nuro's Uber fleet is still in supervised road testing. Wayve is running passenger trials and preparing robotaxi programs. Waabi has announced a huge Uber deployment but has yet to put anything close to that number of robotaxis on the road. May Mobility has completed more than 525,000 commercial rides over its history, although its larger Atlanta Lyft service still uses onboard standby operators.
Gatik looks very different. According to the company's latest financing announcement, it has completed 85,000 fully driverless commercial orders and secured more than $600 million in contracted revenue. The Wall Street Journal recently found 35 Gatik trucks working for PepsiCo in Arizona, with additional operations in Texas and Arkansas. Those vehicles carry products between warehouses, plants and stores without a human driver onboard.
There is one important qualification. A Gatik truck moving repeatedly between known logistics locations faces a narrower problem than a robotaxi accepting arbitrary passenger destinations across a large city. That narrower operating domain is also why Gatik has been able to commercialize sooner.
| Company | What is actually operating now | What that proves |
|---|---|---|
| Gatik | Fully driverless commercial freight routes | Private AV startup with unusually strong proof of paid driverless work |
| May Mobility | 525,000+ cumulative commercial rides, with driverless deployments in three U.S. states | Long operating history, although larger ride-hail programs remain supervised |
| Nuro | Roughly 100 robotaxi engineering vehicles testing across California and Texas | Serious pre-launch validation, still short of mass commercial service |
| Wayve | Passenger trials and supervised autonomous driving across several markets | Broad technical reach, commercial Level 4 scale still ahead |
| Waabi | Autonomous-truck development and testing | Strong technology thesis, commercial driver removal remains the key milestone |
If you want more recent data on this point, please see our latest autonomous vehicle market report.
Why are AV startups giving up on owning the whole robotaxi business?
The smartest autonomous vehicle startups increasingly want to sell the driver rather than finance the car, the fleet, the app and the entire local transportation business themselves.
Uber is accelerating that change. Recent Financial Times reporting puts Uber's autonomous-vehicle commitments above $10 billion, and TechCrunch has tracked more than 30 AV partnerships. Uber can bring demand, fleet operations and local market access while another company builds the autonomous-driving system.
Nuro provides the cleanest example. Lucid manufactures the vehicle, Nuro provides the Level 4 driver, and Uber or its fleet partners operate the fleet. The program now calls for at least 35,000 vehicles across multiple markets. Nuro can therefore concentrate on autonomy instead of building factories and acquiring ride-hailing customers city by city.
Wayve follows a similar model. Nissan, Mercedes-Benz and Stellantis can put Wayve software into production vehicles, while Uber can use the same AI Driver for robotaxis. Waabi has Volvo on the trucking side and Uber on the robotaxi side.
This structure has become much more attractive after the first AV boom showed how expensive full vertical integration can become. Cruise consumed billions of dollars before GM stopped funding the standalone robotaxi model. These days, a startup that can become the preferred autonomous-driving supplier to several vehicle manufacturers and mobility platforms may have a cleaner path to scale than one trying to recreate Waymo from zero.
As this chart shows, and as featured in our autonomous vehicle market deck, search interest in autonomous vehicles has continued to rise
Is Applied Intuition the strongest autonomous vehicle startup right now?
Applied Intuition is currently the strongest autonomous vehicle startup overall if we rank the quality of the business rather than the number of driverless rides.
The company is valued at $15 billion and says 18 of the world's 20 largest automakers use its technology. Applied Intuition has expanded far beyond its original simulation software into data infrastructure, vehicle operating systems and autonomous-driving systems across cars, trucks, mining equipment, construction machinery and defense platforms.
The commercial numbers also look unusually strong for this sector. Private-market research firm Sacra estimates that Applied Intuition reached roughly $830 million in annual recurring revenue in 2025, twice its estimated $415 million a year earlier. The company does not publish audited revenue, so we treat that figure as an external estimate. Even with that caveat, very few private AV companies appear to be anywhere close to that software revenue base.
Applied Intuition also has a useful position in the market because it can sell to companies pursuing completely different autonomy strategies. Traditional automakers need simulation and validation. Truck companies need autonomy development infrastructure. Defense programs need software for autonomous machines. Applied Intuition can participate across those markets without having to predict which robotaxi company wins.
The only reason we hesitate to call it the best self-driving company is that Applied Intuition has become broader than autonomous vehicles. Its current business stretches into defense, operating systems and physical AI infrastructure. For the broader question of which private company has built the strongest business around autonomous machines, though, Applied Intuition is number one.
If you want more recent data on this point, please see our latest autonomous vehicle market report.
Is Wayve the best pure self-driving startup?
Wayve is currently our strongest pure autonomous-driving startup because it has paired an unusually general AI approach with the best collection of automaker and technology partners in the private market.
Wayve raised $1.2 billion at an $8.6 billion valuation earlier in 2026, then brought AMD, Arm and Qualcomm into the round with another $60 million. Mercedes-Benz, Nissan, Stellantis, Nvidia, Microsoft and Uber are also investors or partners.
The partnerships have started turning into production plans. Stellantis intends to integrate the Wayve AI Driver into vehicles for supervised hands-free driving in North America. Nissan plans to use Wayve software in its next-generation ProPILOT system. Uber, Nissan and Wayve are preparing robotaxi trials in Tokyo. Uber and Wayve also received private-hire vehicle licences for early rider access in London.
London is a useful reality check. Fully driverless commercial service has slipped as regulators work through operating rules, so Wayve's current progress there should still be described as pre-commercial Level 4 deployment rather than a finished robotaxi launch.
The technology remains the bigger reason Wayve ranks so highly. The company says its system drove zero-shot in more than 500 cities across Europe, North America and Japan in a single year. If Wayve can keep entering new cities and vehicle platforms without rebuilding huge parts of the autonomy stack each time, it solves one of the industry's nastiest economic problems.
We still need to see that advantage survive large-scale driverless operation. But among independent startups building a general autonomous driver, Wayve has the strongest combination of technical evidence, funding and routes into production vehicles.
This chart, included in our autonomous vehicle market deck, illustrates yearly VC funding for autonomous vehicle startups
Is Gatik already the most proven driverless startup?
Gatik is currently the most commercially proven private startup running vehicles with nobody behind the wheel.
Its latest numbers are unusually concrete for the autonomous vehicle sector. Gatik says it has completed 85,000 fully driverless orders, reached a 99% on-time delivery rate and accumulated more than $600 million of contracted revenue. PepsiCo is already using the company's trucks for real supply-chain work, including moving products such as Doritos and Cheetos between facilities and stores.
Recent independent reporting makes those claims more tangible. The Wall Street Journal found 35 driverless Isuzu trucks operating for PepsiCo in Arizona, with additional Gatik vehicles working in Texas and Arkansas. PepsiCo said the Arizona operation had recorded no accidents since driverless operations began in 2025.
Gatik has achieved this by choosing a constrained market. Its trucks mostly run predictable regional routes between distribution centers, manufacturing sites and stores. The company does not need to accept a passenger request for any address in Los Angeles at 11 p.m.
That narrower problem could still support a large business. Retailers and consumer-goods companies move enormous volumes repeatedly between the same nodes, and driver availability is a real operating constraint. Gatik's fresh $200 million Series D suggests investors now see enough commercial evidence to finance expansion rather than another research phase.
If our ranking were based purely on driverless work already being performed for paying customers, Gatik would rank first. Pretty comfortably, too.
If you want more recent data on this point, please see our latest autonomous vehicle market report.
Can Waabi really use one AI driver for trucks and robotaxis?
Waabi has one of the most ambitious ideas in autonomous driving today, and the company now needs deployment to prove that one AI model can really handle both trucks and robotaxis.
Waabi raised $750 million in its Series C, while Uber agreed to provide roughly another $250 million as milestones are reached. The Uber agreement targets at least 25,000 future robotaxis. Volvo is Waabi's core autonomous-truck partner, and Nvidia, Porsche SE and Uber are among its strategic backers.
Waabi's real bet goes deeper than those partnerships. Founder Raquel Urtasun argues that a single end-to-end AI model, trained heavily through the Waabi World simulator, can generalize across vehicles and environments. In June, Waabi showed the same driver transferring from the Peterbilt platform used in development to Volvo's VNL Autonomous truck without collecting new real-world data or fine-tuning the model for the new vehicle.
That is exactly the kind of generalization autonomous driving needs to become cheaper. Traditional AV development has often required enormous amounts of new mapping, validation and engineering every time a company changes city, road type or vehicle.
Commercial evidence still trails the technical ambition. The company has yet to match Gatik's sustained no-driver freight operation, and Uber has given no timetable for putting 25,000 Waabi robotaxis on the road.
So Waabi sits in a slightly uncomfortable position today. We think the upside is enormous, perhaps higher than Gatik's, but the ranking should reward what has been demonstrated as well as what could happen. That keeps Waabi below Wayve and Gatik for now.
This chart, included in our autonomous vehicle market deck, shows how Waymo is winning in autonomous vehicles
Did Nuro's pivot finally give it a scalable business?
Nuro's autonomous vehicle strategy looks much stronger today because the company has stopped trying to build an entire delivery ecosystem around its own custom vehicles.
Nuro originally raised billions to put small autonomous delivery vehicles on public roads. That model proved expensive and difficult to scale. The company eventually shifted toward licensing the Nuro Driver as a universal Level 4 autonomy platform.
The Uber and Lucid program shows what the new Nuro can look like. Lucid builds the Gravity-based robotaxi, Nuro supplies and validates the autonomous-driving system, and Uber handles the marketplace and fleet infrastructure. The planned fleet has grown to at least 35,000 vehicles across dozens of markets.
There is already a substantial validation effort behind that promise. According to Nuro's June update, nearly 100 engineering vehicles are operating across California and Texas, with testing running 24 hours a day. The San Francisco Bay Area is scheduled to launch first, with Houston planned after that. Nuro has also secured a California permit for testing robotaxi passenger service.
Nuro's position in our ranking still depends heavily on the next step. Tens of thousands of contracted or planned vehicles sound huge, but they become meaningful only as those vehicles start carrying passengers without safety operators.
The pivot itself makes sense. Nuro now has a path to scale its software through somebody else's cars, capital and rider network. That is a much better business to own.
If you want more recent data on this point, please see our latest autonomous vehicle market report.
Is DeepRoute.ai already bigger than most Western AV startups realize?
DeepRoute.ai already has more autonomous-driving software in production vehicles than almost any private Western AV startup, although most of those cars still require human supervision.
DeepRoute says more than 300,000 mass-produced vehicles now use its Urban NOA intelligent-driving system. Those vehicles have generated around 1.3 billion kilometers of real-world driving and 44.8 million hours of use. The company is targeting more than one million production vehicles in 2026.
For comparison, the leading private Level 4 startups usually talk about fleets in the tens, hundreds or future thousands. DeepRoute has reached a completely different order of magnitude because it started scaling through consumer assisted-driving systems rather than waiting for full driverless approval.
That distinction is crucial. A Level 2+ car with a human legally responsible for driving gives us much weaker evidence about Level 4 autonomy than a Gatik truck operating with nobody onboard.
But DeepRoute gets something valuable in return: data. Hundreds of thousands of customer cars continuously expose the system to rare road situations. DeepRoute is feeding that experience into a 40-billion-parameter foundation model and trying to shorten its model iteration cycle to almost hourly updates.
If large supervised fleets turn out to be the best route toward increasingly capable autonomous-driving models, DeepRoute could become one of the biggest winners in this market. We rank it below the strongest Level 4 companies today because the final driver-removal step still has to be proven.
This chart, included in our autonomous vehicle market deck, illustrates yearly funding for autonomous vehicle startups
Is May Mobility quietly closer to real deployment than it looks?
May Mobility has more real autonomous passenger experience than its relatively low profile suggests, but its next challenge is turning years of small deployments into large fleets.
The company says it has completed more than 525,000 commercial autonomous rides and 1.1 million commercial autonomous miles across deployments in the United States and Japan. It has also operated driverless services in three U.S. states.
That history is useful because May Mobility has spent years dealing with ordinary operational problems that disappear from polished AV demonstrations: bad weather, passengers, transit agencies, local governments, remote support and repeated daily service.
The company is now moving toward bigger ride-hailing partners. Lyft launched a May Mobility service in Atlanta in 2025, although trained standby operators remain onboard. Uber and May Mobility are preparing another deployment in Arlington, Texas. Grab has invested in the company, and CaoCao recently agreed to explore robotaxi deployments with May Mobility in Europe.
May is also attacking cost directly. Its new agreement with ECARX targets a 50% improvement in cost efficiency for a future vehicle platform, with larger-scale commercialization planned from 2028.
We still would not put May Mobility beside Wayve or Nuro on potential fleet size. But more than half a million commercial rides gives May a level of operating experience that many much more heavily funded startups have yet to build.
Is Oxa smart to focus on ports, airports and industrial sites?
Oxa's decision to focus on industrial autonomous vehicles looks increasingly sensible because ports, airports and factories offer useful paid work with fewer regulatory headaches than citywide robotaxis.
The British startup raised $103 million in the first close of its Series D earlier in 2026, with the UK National Wealth Fund contributing $50 million and Nvidia's NVentures also investing. Oxa says the money will primarily support Industrial Mobility Automation.
The company has narrowed its commercial pitch accordingly. DHL is working with Oxa on autonomous airside operations. Vantec has tested Oxa-powered autonomous tractors for container and trailer movements. Oxa has worked with bp on autonomous monitoring vehicles at energy sites. Its software has now been used across more than 20 vehicle types.
Oxa's newest move pushes that strategy further. The company has formed SHIFFT, a joint venture with the Dubai Future Foundation, to commercialize autonomous logistics at ports and airports. The venture is targeting its first scalable commercial deployment before the end of 2027.
That focus gives Oxa fewer headline-grabbing opportunities than robotaxi companies, but the economics can be cleaner. Industrial customers already pay people to perform repetitive driving tasks inside controlled environments, often around the clock. Replacing part of that work with autonomous vehicles has an obvious ROI calculation.
Oxa ranks lower because commercial scale remains limited today. Still, its market choice looks much more practical now than it did when most AV capital was chasing passenger cars.
This chart, included in our autonomous vehicle market deck, compares the main business model options for autonomous trucking companies
So which autonomous vehicle startups are actually on top?
Applied Intuition is our top autonomous vehicle startup overall today, followed by Wayve and Gatik, while Waabi, Nuro and DeepRoute.ai make up the strongest group immediately behind them.
Applied Intuition gets first place because it already looks like a major software business. It sells into most of the world's leading automakers, has expanded across multiple autonomous-machine markets, and external estimates put its annual recurring revenue in the high hundreds of millions.
Wayve takes second because it has the strongest pure autonomous-driving platform among private startups in our view. Its generalization across vehicles and cities, combined with Nissan, Stellantis, Mercedes-Benz, Uber and several major chipmakers, gives it several different ways to reach mass production.
Gatik comes third because driverless commercialization deserves real weight. As seen above, the company has moved well beyond pilots and is already doing repetitive commercial freight work without safety drivers.
Waabi is the higher-risk, higher-upside company immediately behind them. If one AI model really can move from trucks to robotaxis with limited retraining, Waabi could rise quickly. Nuro now has one of the biggest announced robotaxi distribution channels through Uber and Lucid. DeepRoute.ai brings a different advantage: hundreds of thousands of production vehicles producing real-world data.
May Mobility and Oxa round out our list because both have accumulated genuine operating experience and chosen paths that require much less capital than building a citywide robotaxi network alone.
The pattern across the ranking is fairly clear now. The strongest autonomous vehicle startups have stopped converging on one business model. Some sell the intelligence layer, some license the driver, some automate narrow freight routes, and some enter through supervised consumer vehicles. The old question of who can build the next Waymo has become much less useful than asking which part of autonomous driving each startup can actually own.
| Rank | Startup | Why we rank it here | What still needs proving |
|---|---|---|---|
| 1 | Applied Intuition | Strongest private AV-related software business and deepest OEM penetration | How much of its future value will come specifically from autonomy |
| 2 | Wayve | Best combination of general-purpose driving AI and global distribution partners | Large-scale Level 4 operation |
| 3 | Gatik | Strongest proof of paid, fully driverless commercial work | Scaling regional freight from dozens to hundreds of vehicles |
| 4 | Waabi | Potentially powerful one-model approach across trucks and robotaxis | Sustained no-driver commercial deployment |
| 5 | Nuro | Strong licensing model with a major Uber and Lucid rollout ahead | Converting supervised testing into mass Level 4 service |
| 6 | DeepRoute.ai | Huge production footprint and real-world driving data | Moving from supervised driving to true driverless autonomy |
| 7 | May Mobility | More than half a million commercial rides and years of operating experience | Growing from smaller programs into large ride-hailing fleets |
| 8 | Oxa | Clear industrial-autonomy strategy with credible customers and fresh capital | Reaching large repeatable commercial deployments |
If you want more recent data on this point, please see our latest autonomous vehicle market report.
OUR METHODOLOGY
Autonomous Vehicle: what are the top startups? is not a question we answer by sorting private companies by valuation or cumulative funding. We break the market into the dimensions that actually separate the leaders: autonomous-driving capability, commercial deployment, customer use, distribution, operating experience, capital backing and the credibility of the path to much larger scale.
We exclude companies that are already public or controlled by larger corporate owners from the startup ranking, while still using them as benchmarks. That is why Waymo, Zoox, Aurora, Pony.ai, WeRide, Kodiak, Momenta and Cruise do not appear in the final top-eight list even when their scale helps calibrate what mature deployment looks like.
We keep different levels of autonomy separate. A supervised Level 2+ production vehicle is strong evidence of distribution and real-world data collection, but it does not carry the same weight as a Level 4 vehicle performing paid commercial work with nobody behind the wheel. Announced future fleets are treated separately again: they matter as distribution evidence, but not as completed deployment.
We also avoid forcing every company into the same metric. Applied Intuition can lead through software revenue and OEM penetration; Gatik through paid driverless freight; DeepRoute.ai through production-vehicle scale and data; and Oxa through industrial deployments. The comparison is based on how strong the evidence is for each business model, then on how well that position can scale.
Funding and valuation are used as supporting evidence rather than the ranking engine. We give more weight when fresh capital is paired with something concrete: production programs, contracted revenue, operating fleets, new customer adoption, or a credible distribution partner.
The final order comes from aggregating those recent points rather than deciding on a favorite first and building a case around it. That is why Applied Intuition can rank first overall even though Gatik has more convincing proof of fully driverless commercial work, and why Wayve can rank above companies with larger current production fleets.
Key sources used for this analysis include Waymo on its current scale and financing, Waymo's 500,000+ weekly-trip benchmark, QIA on Applied Intuition's $600 million financing and $15 billion valuation, Applied Intuition on its automaker penetration, Wayve on its $1.2 billion Series D, Wayve on the $60 million extension from AMD, Arm and Qualcomm, and Wayve on its 500-city generalization program.
For the other private leaders, we relied on Gatik's financing and commercial-deployment update, Waabi on its Series C and Uber commitment, Waabi on cross-platform generalization, Nuro on its $203 million Series E, and Uber on the Nuro-Lucid robotaxi program.
We also used May Mobility on cumulative commercial rides and miles, May Mobility on the Atlanta Lyft deployment, Oxa on its $103 million Series D first close, Oxa on the SHIFFT joint venture, DeepRoute.ai's primary-source company updates, and Bloomberg's reporting on DeepRoute.ai.
This chart, featured in our autonomous vehicle market deck, shows the share of revenue generated by each customer segment in the autonomous vehicle market
