Waabi raises $1 billion to put 25,000 robotaxis on Uber
Waabi secures $750 million Series C plus $250 million from Uber to deploy 25,000 exclusive robotaxis, marking the largest autonomous vehicle partnership ever.
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TL;DR: Waabi raised $1 billion through a $750M Series C plus a $250M milestone-based commitment from Uber to deploy 25,000 robotaxis exclusively on Uber's network. This is the largest autonomous vehicle deployment deal and the largest fundraise in Canadian tech history. The company pivoted from self-driving trucks to ride-hailing in under two years, using a generative AI-first approach to autonomous driving.
$1 billion raised. 25,000 robotaxis committed. One exclusive platform. On January 28, 2026, Waabi announced the single largest autonomous vehicle deployment deal ever signed — a $750 million Series C round combined with a $250 million milestone-based commitment from Uber, alongside a binding agreement to put at least 25,000 Waabi Driver-powered robotaxis exclusively on Uber's global ride-hailing network. The raise is also the largest fundraise in Canadian tech history.
For a company that was focused entirely on self-driving trucks just two years ago, the announcement marks a sharp strategic pivot — and a serious declaration of intent in the intensifying race to commercialize autonomous ride-hailing at scale.
The headline figure of $1 billion breaks into two distinct parts. Waabi closed a $750 million Series C led by Khosla Ventures and G2 Venture Partners, with participation from Uber, NVentures (NVIDIA's venture capital arm), Volvo Group Venture Capital, Porsche Automobil Holding SE, BlackRock, Radical Ventures, and HarbourVest Partners. Separately, Uber committed up to $250 million in milestone-based capital tied directly to robotaxi deployment targets.
That second tranche is structurally significant. Uber's money is not a passive financial bet — it is tied to Waabi hitting specific, undisclosed deployment milestones. In other words, Uber is paying for performance. As Waabi puts more driverless vehicles on the road generating revenue through Uber's platform, more capital unlocks. The incentive structure aligns both companies tightly around real-world deployment, not just laboratory benchmarks.
Bringing Waabi's total funding to approximately $1.28 billion across four rounds since its founding in 2021, the Series C cements the company's unicorn status. Waabi declined to disclose its post-money valuation, though reporting from The Globe and Mail ahead of the announcement indicated the company was targeting a $3 billion valuation.
Understanding the scale of this raise requires context on how quickly Waabi has moved.
| Round | Date | Amount | Lead Investors | Key Participants |
|---|---|---|---|---|
| Series A | June 2021 | $83.5M | Khosla Ventures | Uber, others |
| Series B | June 2024 | $200M | Uber | Khosla Ventures |
| Series C | January 2026 | $750M | Khosla Ventures, G2 Venture Partners | Uber, NVIDIA, Volvo, Porsche, BlackRock |
| Uber commitment | January 2026 | Up to $250M | Uber | Milestone-based |
| Total | ~$1.28B |
The jump from $200 million Series B to $750 million Series C — in under two years — reflects both the accelerating investor appetite for physical AI infrastructure and the tangible progress Waabi has made in commercial trucking deployments. More pointedly, it reflects the pull from Uber. When your Series B lead investor becomes your largest commercial partner and writes a separate nine-figure performance check, the signal to the rest of the market is unambiguous.
Waabi was founded in 2021 by Raquel Urtasun, one of the most decorated machine learning researchers working on autonomous systems. Urtasun spent years as a professor at the University of Toronto and the Vector Institute before joining Uber as Chief Scientist of Uber ATG — Uber's now-dissolved autonomous vehicle research division.
When Uber sold its ATG division to Aurora Innovation in December 2020, Urtasun did not follow. Instead, she founded Waabi with a specific thesis: that the self-driving industry had been building the wrong way. Rather than rule-based systems layered on top of each other — the traditional modular approach — she believed the path to scalable autonomy ran through end-to-end generative AI trained on massive sensor datasets.
Her relationship with Uber's leadership pre-dates Waabi by years. Uber invested in Waabi's very first round. The Uber partnership announced in January 2026 is not a cold business development deal — it is the continuation of a long professional relationship built on shared technical conviction. That context matters when evaluating whether the 25,000-robotaxi commitment is a realistic commercial agreement or an aspirational press release.
Waabi's competitive differentiation is architectural. Most autonomous vehicle companies, including early Waymo, built modular systems: perception handles what the sensors see, prediction handles what other vehicles will do, planning decides what the car should do next. Each module was designed, tuned, and tested separately. This approach is interpretable and debuggable, but it compounds errors across modules and scales poorly to edge cases.
Waabi built something different: a single end-to-end AI system called Waabi Driver. Rather than handing off outputs between modules, Waabi Driver is trained to reason about the entire driving problem simultaneously. The key innovation is Copilot4D, a generative AI model trained on vast amounts of lidar sensor data that can predict how surrounding vehicles, pedestrians, and other objects will move by generating a lidar scene representation up to 5-10 seconds into the future.
This is what Urtasun means when she talks about "physical AI" — AI that reasons about the physical world rather than operating in a purely digital domain. The model is not classifying objects and following programmed rules. It is generating predictions about how the world will evolve, then planning actions accordingly.
Waabi Driver is supported by Waabi World — a neural simulator that functions as a highly realistic training environment. Waabi World can generate synthetic driving scenarios from real sensor data, allowing the system to train on edge cases and rare events that would be impossible or dangerous to encounter on public roads. The teacher-student metaphor the company uses is apt: Waabi World creates the training scenarios, Waabi Driver learns from them.
This approach has two meaningful advantages over traditional simulation. First, neural simulation is more photorealistic and physically accurate than hand-engineered simulation, which means models trained in Waabi World transfer more reliably to real vehicles. Second, it dramatically reduces the cost of training on rare scenarios, since generating a synthetic near-miss or adverse weather condition in a neural simulator is vastly cheaper than staging it with a physical vehicle.
The same underlying AI stack works across both trucking and passenger vehicles, which is what enables Waabi's pivot from autonomous trucks to robotaxis without requiring a full technology rebuild.
Waabi is entering a market that Waymo has defined for the past several years. As of early 2026, here is where the major players stand.
| Company | Fleet Size | Markets | Platform Partner | Status | Backing |
|---|---|---|---|---|---|
| Waymo (Alphabet) | ~2,500+ active | Phoenix, SF, LA, Atlanta, Austin, Miami + 5 planned | Uber (non-exclusive) | Commercial, paid, driverless | Alphabet |
| Waabi | Pre-deployment | TBD | Uber (exclusive) | Funded, scaling | Independent ($1.28B) |
| Cruise (GM) | Paused | San Francisco | None active | Suspended post-incident | GM |
| Motional (Hyundai/Aptiv) | Limited | Las Vegas, others | Uber, Lyft | Pilot stage | Hyundai + Aptiv |
| Zoox (Amazon) | Testing | Las Vegas | Amazon | Pre-commercial | Amazon |
| Tesla | None commercial | None | None (self-operated) | Software announced | Tesla |
| May Mobility | Hundreds | Arlington TX + others | Uber | Early commercial | Independent |
The most important comparison is Waymo. As of late 2025, Waymo was providing 450,000 paid rides per week with roughly 2,500 vehicles across six US cities, targeting 1 million rides per week by end of 2026. Waymo is currently the only operator providing paid, fully driverless service to the general public at commercial scale in the United States.
Waabi's commitment of 25,000 robotaxis would represent a 10x expansion over Waymo's current fleet — if and when fully deployed. The companies did not disclose a timeline for reaching that number. The realistic interpretation is that 25,000 represents a multi-year deployment target, not a 12-month commitment.
One structural difference worth noting: Waymo's relationship with Uber is non-exclusive. Waymo also operates independently through the Waymo One app and partners with other platforms. Waabi's 25,000-robotaxi commitment is explicitly exclusive to Uber. That exclusivity gives Uber a differentiated competitive asset — a large fleet of AVs that only its customers can access.
The Waabi deal is one piece of a much larger strategic position Uber is building. Uber has recast itself not as an AV developer — they sold Uber ATG to Aurora in 2020 — but as the world's dominant AV deployment platform.
The strategy is explicit: partner with every credible AV technology developer, provide them with capital, data, and distribution, and earn platform fees on every autonomous ride. Uber has announced or committed to partnerships including:
Uber Autonomous Solutions, launched in early 2026, is the formal organizational unit packaging these partnerships with data services, fleet management infrastructure, and demand routing. Uber AV Labs, announced one day before the Waabi deal, is a new division that gathers driving data specifically for robotaxi partners.
Uber's AV strategy can be summarized as: own the customer relationship, own the demand network, make the technology fungible. If Waabi delivers, Uber wins. If Waymo delivers more, Uber wins there too. The platform model means Uber does not need to pick a single winner — they need the entire category to scale.
By 2026, Uber has targeted autonomous rides in 15 cities. By 2029, their stated goal is to be the world's largest facilitator of AV trips.
Waabi's original market was autonomous trucking. Long-haul freight is in many ways an easier first deployment environment for autonomous vehicles than urban ride-hailing: highway driving is more predictable than city driving, the routes are fixed, and the economics are strong because truck driver salaries represent the largest cost in freight logistics.
Waabi has been commercially deploying autonomous trucks in partnership with carriers. That real-world commercial experience — not just test miles, but actual freight operations — is part of what justified the Series C valuation.
The expansion to robotaxis is made possible by the same underlying technology. Waabi Driver is not a truck-specific system. The generative AI stack that handles highway lane-keeping, obstacle avoidance, and merge decisions can be adapted to handle the more complex decision-making required in urban environments. Waabi World's neural simulation can generate city driving scenarios just as effectively as highway scenarios.
The more fundamental reason for the expansion is market size. The global robotaxi market is projected to grow from approximately $18.3 billion in 2026 to over $2 trillion by 2034, representing a compound annual growth rate of roughly 80%. Trucking is a large market — US freight alone exceeds $800 billion annually — but ride-hailing is a different category of opportunity both in terms of addressable market and strategic position.
The Uber partnership provides Waabi something it could not build quickly on its own: instant access to demand. Uber processes tens of millions of ride requests per day across 70+ countries. Dropping Waabi robotaxis into that demand network means the vehicles can be economically productive from day one of deployment, without Waabi needing to build its own consumer-facing app or driver acquisition funnel.
The 25,000-vehicle commitment is the largest exclusive AV deployment agreement ever announced. The practical requirements to hit that number are significant.
Hardware manufacturing. 25,000 vehicles need to be built, equipped with sensor suites (lidar, radar, cameras), fitted with Waabi Driver compute hardware, and validated. Even at a rate of 500 vehicles per month — ambitious for any AV manufacturer — that is a four-year manufacturing run. Waabi has not disclosed its vehicle OEM partner for the robotaxi program.
Mapping and geofencing. AV deployments typically require high-definition mapping of operating areas before vehicles can run commercially. Expanding to new cities means building new maps. At Waymo's current pace, adding a major US city takes 12-18 months of mapping and safety validation.
Regulatory approval. Each US state and many international markets require separate regulatory approval for commercial driverless operations. California, Texas, Arizona, and Nevada have the most developed AV frameworks, but approval processes vary significantly. International deployment is even more complex.
Safety validation. Before commercial deployment, Waabi Driver will need to demonstrate sufficient disengagement rates, safety incident data, and simulation coverage in each operating environment. This is not a shortcut-able step.
Fleet operations infrastructure. 25,000 vehicles require remote monitoring centers, maintenance facilities, cleaning operations, and incident response capability at scale. This is an enormous operational undertaking.
None of these requirements make the 25,000 target unrealistic — they make it a multi-year program, not a 12-month sprint. The milestone structure of Uber's $250 million commitment likely reflects this phased reality.
The investment flows into autonomous ride-hailing have accelerated dramatically. The market dynamics as of early 2026:
Market size projections: The global robotaxi market sits at approximately $18.3 billion in 2026, with projections from major research firms ranging from $1.5 trillion to $2.1 trillion by 2034. The variance in projections reflects genuine uncertainty about deployment pace and regulatory timelines, not disagreement about ultimate market size.
Waymo's dominance: With 2,500+ active vehicles, 450,000 paid weekly rides, and expansion into five additional US cities targeting 2026 commercial launch, Waymo is the only operator at genuine commercial scale. Parent company Alphabet has not disclosed Waymo's revenue, but the company has raised over $11 billion in external capital.
China: Chinese AV companies including Baidu's Apollo Go and WeRide are operating commercial robotaxi services in multiple cities. China's regulatory environment has moved faster than the US in some respects, and the deployment numbers in tier-one Chinese cities are meaningful — though operating in China does not directly translate to Western market capability.
Capital concentration: The autonomous vehicle sector has attracted over $150 billion in cumulative investment since 2010. The consolidation phase is underway — Cruise's scaling is paused following a 2023 safety incident, Argo AI was shut down by Ford and VW in 2022, and Motional has been slower to commercialize than initially projected. The companies with large capital reserves and clear commercial paths — Waymo, Waabi post-Series C, Aurora in trucking — are pulling away from the field.
Several material risks could affect Waabi's timeline and the 25,000-robotaxi commitment.
Regulatory delay. AV regulation in the US is handled at the state level, and federal frameworks remain incomplete. A single high-profile safety incident — by Waabi or any competitor — can trigger regulatory freezes across multiple jurisdictions simultaneously, as happened with Cruise in late 2023.
Technology transfer challenge. Waabi's commercial trucking deployments are on highways, which are more structured environments than urban streets. Demonstrating that Waabi Driver performs safely and reliably in dense urban environments with pedestrians, cyclists, and complex intersection logic is a non-trivial step, even with strong simulation coverage.
Hardware supply chain. Lidar sensors, compute hardware, and sensor fusion systems face ongoing supply chain constraints. Scaling to 25,000 vehicles requires reliable component supply at a volume that does not currently exist for AV-specific hardware.
Uber platform dependency. The exclusive nature of the partnership is simultaneously Waabi's greatest near-term asset and its most significant structural risk. If Uber's competitive position in ride-hailing erodes, or if the platform relationship sours for any reason, Waabi's go-to-market is directly affected. Exclusive deals constrain optionality.
Capital efficiency at scale. $1.28 billion is a large number for a pre-revenue robotaxi company. But 25,000 vehicles at even $50,000 per unit in hardware costs represents $1.25 billion in hardware alone — before operations, mapping, regulatory work, or safety validation. The math is tight, and additional capital raises are likely before the full deployment target is reached.
The Waabi-Uber deal accelerates several dynamics that were already in motion.
Platform consolidation. Uber is emerging as the dominant neutral deployment platform for autonomous vehicles in the same way AWS became neutral infrastructure for cloud computing. By owning the distribution layer while remaining technology-agnostic, Uber captures value regardless of which AV company's technology ultimately proves superior.
The end of internal AV development at ride-hailing companies. Uber sold Uber ATG. Lyft sold its AV division. The lesson from the 2018-2022 period is that building AV technology internally is extraordinarily expensive and slow relative to partnership. The Waabi deal reinforces that the role of ride-hailing platforms is distribution and operations, not software development.
Physical AI as an investment category. Waabi's framing of its work as "physical AI" — AI operating in and reasoning about the physical world rather than digital content — reflects a broader investor thesis that has attracted significant capital in 2025-2026. The investors in the Series C include NVIDIA's venture arm and BlackRock, neither of which invested in pure software. The opportunity to apply large model AI techniques to physical systems is being taken seriously at the highest levels of institutional capital.
Canada as an AV hub. Waabi's $1.28 billion total raise, described as the largest in Canadian tech history, signals that the AV industry is not exclusively concentrated in Silicon Valley and Pittsburgh. Toronto, home to Urtasun's academic roots at the University of Toronto and the Vector Institute, is becoming a legitimate research and commercialization center for autonomous systems.
What is Waabi and who founded it? Waabi is a Toronto-based AI company building software for autonomous vehicles, founded in 2021 by Raquel Urtasun. Urtasun previously served as Chief Scientist at Uber ATG, Uber's former autonomous vehicle research division, before starting Waabi with the thesis that generative AI end-to-end models would outperform modular rule-based autonomous driving systems.
How does the $1 billion break down? The total consists of a $750 million Series C equity round led by Khosla Ventures and G2 Venture Partners, plus up to $250 million in milestone-based capital committed by Uber. The Uber tranche unlocks as Waabi hits specific deployment targets with the robotaxi program. Total funding across all rounds is approximately $1.28 billion.
What is Waabi's technology and how does it differ from Waymo? Waabi uses an end-to-end generative AI architecture. Its core model, Copilot4D, is trained on lidar sensor data and generates predictions of how the physical environment will evolve over the next 5-10 seconds. Waabi Driver is a single unified AI system that handles the full driving task. Waabi World is a neural simulator for training. Waymo has historically used a more modular architecture, though it has also moved toward more integrated ML approaches. The key distinction is Waabi's commitment to a single end-to-end model trained primarily on real sensor data.
When will 25,000 Waabi robotaxis be on Uber? No timeline has been disclosed. The companies announced a commitment to deploy at least 25,000 robotaxis, but given the hardware manufacturing, regulatory approval, and mapping requirements involved, this is realistically a multi-year program. Phased deployment in select US cities would likely precede any large-scale rollout.
Why is the Uber partnership exclusive? The exclusivity is a direct function of Uber's capital commitment. Uber is providing up to $250 million in milestone-based funding plus the full benefit of its global demand network. In exchange, Waabi's robotaxi deployment is locked to Uber's platform. This gives Uber a differentiated fleet asset its competitors cannot access and gives Waabi immediate access to Uber's tens of millions of daily ride requests.
How does Waabi compare to Waymo? Waymo is currently the only company operating paid, fully driverless rides to the general public at commercial scale in the US, with roughly 2,500 active vehicles and 450,000 paid weekly rides as of late 2025. Waabi has not yet deployed commercial robotaxis — its commercial track record is in autonomous trucking. The 25,000-vehicle commitment would represent roughly 10x Waymo's current fleet, but achieving it requires years of operational buildout. Waymo's relationship with Uber is non-exclusive; Waabi's is exclusive.
What happened to other autonomous vehicle companies like Cruise and Motional? Cruise, General Motors' autonomous vehicle subsidiary, suspended commercial operations following a serious safety incident in San Francisco in October 2023 and has been in a slow restart phase since. Motional, the joint venture between Hyundai and Aptiv, has been slower to commercialize than projected and remains in limited pilot deployments. Both situations reflect the difficulty of scaling autonomous systems safely from controlled testing to public commercial operations — the central challenge Waabi will face as it moves from trucks to taxis.
What is the global robotaxi market size? Industry analysts project the global robotaxi market at approximately $18.3 billion in 2026, growing to over $2 trillion by 2034 at a compound annual growth rate exceeding 80%. These projections carry significant uncertainty depending on regulatory pace and deployment timelines, but there is broad consensus that eliminating driver labor costs creates an enormous addressable market across the global ride-hailing industry.
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