Wayve secures $1.5B to scale autonomous driving platform globally
Wayve Technologies raised $1.2 billion in Series D funding ($1.5B total with milestones) to deploy its end-to-end AI autonomy platform, with plans for robotaxi trials in 2026 and consumer vehicles in 2027.
- $1.5 billion
- $8.6 billion
- 500+
- 10+
What Happened
Wayve Technologies announced it has raised $1.2 billion in a Series D funding round, with a total of $1.5 billion secured including milestone-based capital, to accelerate the commercial deployment of its end-to-end embodied AI platform for autonomous driving. The round was led by Eclipse, Balderton, and SoftBank Vision Fund 2, with participation from Microsoft, NVIDIA, Uber, and automakers Mercedes-Benz, Nissan, and Stellantis. The company's post-money valuation now stands at $8.6 billion.
“With $1.5 billion secured, we are building for a total addressable market that spans every vehicle that moves. Autonomy will not scale through city-by-city robotaxi deployments alone. It will scale through a trusted platform that automakers and fleets can deploy globally and improve continuously.”
Launch commercial robotaxi trials with Uber, starting in London
Deploy supervised autonomy software (L2+ 'hands-off') in consumer vehicles from automakers
$1.5 billion
Includes $1.2B Series D and additional milestone-based capital from Uber
$8.6 billion
- Microsoft and NVIDIA (technology partnership and investment)
- Uber (robotaxi deployment partnership and milestone-based investment)
- Mercedes-Benz, Nissan, and Stellantis (automaker partners and investors)
- Eclipse, Balderton, SoftBank Vision Fund 2 (lead investors)
Wayve and Uber plan to launch their first robotaxi service in London in 2026, with a goal to scale to more than 10 markets globally. Under the partnership, Wayve will deploy its AI Driver in L4-capable vehicles from participating automakers, while Uber will own and operate the fleet. Wayve's platform runs entirely on onboard compute and embedded sensors without requiring high-definition maps or city-specific fine-tuning, having demonstrated zero-shot driving in over 500 cities across Europe, North America, and Japan in the past year.
Why this matters
This massive funding round signals industry convergence on end-to-end embodied AI for autonomous driving. Wayve's approach, backed by Uber, Microsoft, NVIDIA, and major automakers, could bring self-driving features to consumer vehicles by 2027 and robotaxis to cities like London as early as 2026. For beginners, it means autonomous driving is moving from research to real-world deployment, potentially transforming transportation.
Terms in This Story
- embodied AI
- AI that perceives and acts in the physical world, such as driving a vehicle.
- end-to-end AI
- A machine learning approach where a single model directly learns to map inputs to outputs without hand-coded intermediate rules.
- L2+ hands-off
- Level 2+ partial automation where the vehicle can steer, accelerate, and brake but the driver must supervise and can keep hands off the wheel.
- zero-shot
- The ability of an AI system to operate in a new environment without having been specifically trained or fine-tuned for that location.
Summarised from the linked release; details can be imperfect — always verify against the original source.