Moove has raised $250 million in Series C financing at a $2.1 billion valuation, giving the global mobility company fresh capital to expand its autonomous vehicle operations, fleet ownership and infrastructure footprint.
The round was led by Mubadala Investment Company and co-led by Woven Capital, Toyota’s growth fund, and Ion Pacific. The financing comes as autonomous vehicles move from technology demonstrations toward commercial deployment, increasing demand for the less visible infrastructure required to operate driverless fleets at scale.
For Moove, that infrastructure includes vehicles, charging facilities, maintenance operations, data systems and specialized depots known as “Nests.”
Moove bets $250 million on the infrastructure behind autonomous vehicles
The autonomous vehicle industry has spent years focused on the hardest technological problem: making cars drive themselves.
Moove’s latest funding round reflects a different question.
What happens after autonomous vehicles are ready to operate commercially?
The company believes the answer involves an infrastructure and operations layer capable of owning, charging, maintaining, dispatching and coordinating fleets around the clock.
Moove has raised $250 million in a Series C round that values the company at $2.1 billion. Mubadala Investment Company led the financing, with Woven Capital and Ion Pacific co-leading.
The round also includes BlueCrest Capital Management, Sona Asset Management and The Raptor Group, alongside existing institutional backers including BlackRock, MUFG, Franklin Templeton and Uber.
Moove said the funding will support autonomous fleet expansion, new market launches and the development of its robotics-focused “Nests” infrastructure.
Autonomous vehicles create an infrastructure problem
The economics of autonomous mobility are often discussed in terms of sensors, artificial intelligence, mapping and vehicle platforms.
But operating a commercial autonomous fleet introduces another set of requirements.
Vehicles need to be charged and maintained. Software and hardware faults need to be handled. Fleets must be positioned where demand exists. Vehicles need cleaning, inspection and servicing, while operations teams need systems capable of monitoring thousands of vehicles continuously.
Moove’s Nests are designed around that problem.
The company describes them as robotics-first depots where autonomous vehicles can be charged, serviced, maintained and orchestrated for continuous operation.
That makes Moove’s strategy less comparable to a conventional ride-hailing company and more analogous to an infrastructure operator.
The distinction could become increasingly important as autonomous fleets scale.
From ride-hailing finance to autonomous fleet operations
Moove’s autonomous strategy builds on an operating model developed since its founding in 2020.
The company has historically provided financing and fleet infrastructure for drivers operating on ride-hailing platforms. It now says it operates approximately 42,000 vehicles across 29 cities in 13 countries, with about 3,300 employees globally.
Moove has expanded through organic growth and acquisitions, including Kovi in Brazil and Tokyo Taxi in Japan, and reports approximately $420 million in annual recurring revenue.
The company is effectively taking that existing operating infrastructure and adapting it for autonomous vehicles.
That could give Moove an advantage over companies starting from scratch, because autonomous mobility requires many of the same operational capabilities as traditional fleet businesses—only with considerably more emphasis on automation, uptime and centralized control.
Waymo partnership provides a commercial test
Moove is already operating autonomous fleets through its partnership with Waymo, one of the industry’s best-known autonomous driving companies.
The companies have live operations in Phoenix and Miami, with London planned as a future market.
That relationship puts Moove in a position between autonomous vehicle technology developers and transportation networks.
Waymo develops the autonomous driving technology, while Moove provides fleet ownership and operational capabilities.
This division of responsibilities illustrates a potentially important structure for the autonomous mobility market.
Not every autonomous technology company will want to own thousands of vehicles, operate depots or manage city-level transportation logistics. Conversely, fleet operators may not need to develop their own autonomous driving systems.
The resulting ecosystem could resemble other technology markets in which specialized infrastructure providers emerge alongside core technology companies.
Investors are backing the infrastructure thesis
The investor mix also offers clues about how autonomous mobility is being financed.
Mubadala brings the backing of one of the world’s largest sovereign investment organizations, while Woven Capital provides a direct connection to Toyota’s technology and mobility ecosystem.
That strategic component is important because autonomous transportation is a capital-intensive business.
The transition requires significant upfront spending before fleets can generate revenue. Vehicles must be purchased, charging capacity installed, facilities developed and operating teams trained.
Moove expects its autonomous vehicle workforce to grow by more than 220% by the end of 2026, from approximately 150 employees to around 500.
The planned hiring suggests the company expects autonomous operations to become a substantial part of its business rather than a small experimental division.
The UAE is becoming an important strategic base
Moove also emphasized its connection to the UAE, describing the country as an anchor for its next phase of expansion.
That fits into the UAE’s broader push to attract capital, technology companies and advanced transportation systems.
Autonomous mobility is particularly relevant to cities seeking to reduce transportation costs, improve fleet utilization and build digitally managed urban infrastructure.
For investors, the UAE connection provides another potential growth market while giving Moove access to a region that has actively promoted autonomous transportation and smart-city development.
Scale will determine whether the model works
The biggest challenge for Moove is not simply deploying autonomous vehicles. It is achieving attractive economics as those fleets become larger.
Fleet utilization will be critical.
A vehicle that spends too much time charging, waiting for passengers or undergoing maintenance produces less revenue while still carrying capital and operating costs.
The same applies to depots. Infrastructure needs to be located close enough to demand to support efficient operations without becoming an excessive fixed cost.
Autonomous fleets could ultimately improve utilization by operating for longer periods without driver constraints, but that advantage depends on reliable vehicles, charging infrastructure and demand-management systems.
Moove’s infrastructure thesis therefore rests on an operating equation: the more efficiently it can keep autonomous vehicles productive, the more valuable its fleet and depot network becomes.
A new layer in the autonomous mobility stack
The broader autonomous vehicle market includes companies such as Waymo, Tesla, Zoox and other developers competing around autonomous driving technology.
Moove is pursuing a different position.
Rather than attempting to own the entire autonomous stack, it is building the fleet and operational layer between autonomous vehicle technology and end users.
That could become a significant category if robotaxi networks expand across multiple cities.
The analogy to cloud infrastructure is imperfect but useful. Autonomous driving technology may provide the intelligence, while companies such as Moove seek to provide the physical and operational infrastructure needed to deploy that intelligence at scale.
The company’s $250 million financing is therefore more than a conventional growth round.
It represents a bet that autonomous mobility will become an infrastructure market—and that owning the assets and operations connecting autonomous vehicles to cities could be as important as developing the software that drives them.
Market Landscape
Autonomous mobility is moving toward a more complex commercial ecosystem involving vehicle manufacturers, autonomous driving developers, fleet operators, charging providers, mapping companies, insurers, financial institutions and city governments.
The economics increasingly resemble other capital-intensive technology markets. Building the technology is only the first step; commercial deployment requires substantial physical infrastructure and recurring operational expenditure.
Companies including Toyota, Alphabet’s Waymo, Amazon’s Zoox and Tesla are pursuing different approaches to autonomous transportation. Some are vertically integrating vehicle technology and operations, while others are partnering with specialized mobility providers.
Moove’s model represents another potential path: an independent fleet and infrastructure operator that can work with autonomous technology providers across multiple markets.
Its ability to scale efficiently, maintain high vehicle utilization and control infrastructure costs will ultimately determine whether that model can produce durable margins.
Top Insights
- Moove raised $250 million at a $2.1 billion valuation, giving the mobility company capital to expand autonomous fleets, infrastructure and international operations.
- Mubadala and Toyota-backed Woven Capital led the round, signaling growing institutional interest in the infrastructure economics behind autonomous transportation.
- Moove’s Nests provide charging, maintenance and fleet orchestration, addressing operational bottlenecks that become increasingly important as autonomous fleets scale.
- The company already operates 42,000 vehicles across 29 cities, giving its autonomous strategy an operating base developed through traditional ride-hailing mobility.
- Moove expects autonomous workforce growth of more than 220%, highlighting its expectation that driverless mobility will become a major business line.
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