Signals Inbox·July 28, 2026·Autonomous Systems
Aurora vs Kodiak vs Waabi: who is ahead?
Aurora is ahead in autonomous trucking today, but Kodiak has built the strongest customer-owned deployment and Waabi still has the best chance of changing the race through a software breakthrough.
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Send me the signals →Aurora is ahead of Kodiak and Waabi today. It is the only one of the three regularly carrying commercial freight without a driver on public interstate routes, and it has the broadest combination of customers, manufacturing partners and financial capacity.
Kodiak’s operation is larger by disclosed truck count and paid activity. Its 28 customer-owned driverless trucks prove that a fleet can buy the vehicles, run the operation itself and pay Kodiak for the virtual driver. The catch is that most of this evidence still comes from one industrial customer in the Permian Basin.
Waabi is not yet close on commercial deployment, but it may have the most scalable software architecture. Its claimed transfer to the Volvo VNL Autonomous without new training data or model fine-tuning is potentially important; the company now needs operating figures that outsiders can actually compare.
The race is really between three different strengths. Aurora leads the target market, Kodiak leads the business model already working in customer hands, and Waabi leads on technical upside. Public-highway deployment carries the most weight, so Aurora remains the winner for now.
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Send me the signals → Delivered straight to your inboxQ1Why are Aurora, Kodiak and Waabi always compared in autonomous trucking?
Aurora, Kodiak and Waabi are compared because all three want trucking fleets to pay for a virtual driver that can replace a human in a Class 8 truck. Their starting points differ, but their strategies are now converging.
Aurora began with interstate freight and commercial driverless routes. Kodiak first removed drivers from industrial logistics in the Permian Basin and is now preparing for highway deployment. Waabi began with a simulation-heavy AI architecture and has since integrated it into Volvo’s autonomous truck.
The overlap is getting harder to ignore. Aurora is moving toward customer-owned trucks, Kodiak is moving onto interstate highways and Waabi is moving from supervised testing toward commercial freight.
They also depend on many of the same manufacturers, carriers and freight platforms. Volvo works with both Aurora and Waabi, while Uber has relationships across the autonomous-freight market.
Q2Why is the Aurora vs Kodiak vs Waabi race so difficult to score?
The race is difficult to score because each company currently leads a different measure. Aurora leads public-highway driverless freight. Kodiak leads customer-owned driverless deployments and paid operating hours. Waabi leads in recent private funding and architectural ambition.
A simple vehicle count favors Kodiak, which reported 28 customer-owned driverless trucks. Aurora’s last disclosed fleet peak was ten.
Revenue also gives Kodiak a narrow advantage. It generated $1.8 million in the latest completed quarter, compared with approximately $1 million for Aurora. Both numbers are still tiny.
The operating environment changes the picture. Kodiak’s driverless trucks mainly work inside an industrial freight network. Aurora’s trucks carry commercial loads among ordinary motorists on public interstate highways.
Waabi remains harder to place because it discloses technical milestones without comparable figures for fleet size, paid loads or trucking revenue.
We therefore give the most weight to four tests: whether the driver has been removed in the target market, whether customers use the system repeatedly, whether trucks can be produced at scale and whether the company can finance the ramp. Aurora has the strongest combined position.
Q3Which of Aurora, Kodiak and Waabi has actually removed the driver?
Aurora has gone furthest because it currently moves customer freight without a driver on open public highways. Kodiak operates fully driverless commercial trucks in industrial areas, while Waabi has not disclosed a regular public-road commercial service without a safety driver.
Aurora began driverless deliveries between Dallas and Houston in 2025 and later expanded toward El Paso and other Sun Belt routes. Its trucks operate around ordinary traffic and must handle highway merges, construction, emergency vehicles, changing weather and active freight terminals.
Kodiak also has a real commercial deployment. Atlas Energy Solutions has used Kodiak-powered trucks without anyone in the cab since late 2024, moving proppant through the Permian Basin day and night.
Those industrial routes are physically demanding. Dust, poor markings and rough surfaces punish sensors and vehicle hardware. They generally involve fewer unpredictable motorists and complicated interstate interactions, however, which makes Kodiak’s current operating domain narrower than Aurora’s.
Kodiak’s Dallas-to-Houston freight service with Roehl still uses supervised autonomy. Its planned driverless highway launch would provide the first close comparison with Aurora’s operation.
Waabi reported driverless closed-course missions in late 2025 and began public-road testing with Volvo in June 2026. The company says its trucks have driven autonomously across highways and complex surface streets. It has not disclosed regular paid freight without a safety driver.
Aurora therefore holds the clearest lead on the most valuable deployment milestone. Kodiak has solved a commercially useful but more controlled version of the problem. Waabi is still turning technical progress into a service.
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Send me the signals →Q4Does Kodiak now run a bigger driverless operation than Aurora?
Kodiak currently runs the larger disclosed driverless fleet, while Aurora has accumulated more experience on public highways. Kodiak wins on operating volume. Aurora wins on the relevance of the environment.
Kodiak ended the first quarter with 28 customer-owned driverless vehicles, up from 20 three months earlier and ten six months earlier. Its fleet expanded by 180% in two quarters.
Utilization grew even faster. Kodiak reported more than 23,500 cumulative paid driverless hours and 15,600 completed loads. Paid hours increased by 120% during the latest quarter.
Kodiak added around 12,800 cumulative hours in that quarter, more than twice the amount added during the previous one. Atlas is clearly using the trucks more frequently as the fleet grows.
Aurora’s mileage followed another strong curve. Its cumulative driverless highway mileage increased from roughly 20,000 miles in mid-2025 to more than 100,000 by October, then passed 250,000 in January.
Aurora temporarily reduced commercial vehicle availability while validating its second-generation hardware, so its present active fleet cannot be compared precisely with Kodiak’s 28 trucks.
Waabi provides no equivalent commercial metric. Public-road testing does not yet give us a driverless fleet count, paid operating hours or customer loads.
Latest disclosed autonomous-trucking operating measures
| Operating measure | Aurora | Kodiak | Waabi | Current leader |
|---|---|---|---|---|
| Driverless commercial trucks | Last disclosed peak of 10 | 28 customer-owned trucks | None disclosed | Kodiak |
| Main driverless environment | Public interstate routes | Permian Basin industrial routes | Closed-course missions and public-road testing | Aurora |
| Disclosed operating volume | 250,000+ public-road driverless miles | 23,500+ paid hours and 15,600+ loads | None disclosed | Split |
| Recent growth pattern | Mileage rose more than twelvefold in about seven months | Fleet rose 180% in two quarters | No commercial curve available | Split |
Q5Is Kodiak making more autonomous-trucking revenue than Aurora?
Kodiak currently reports more autonomous-trucking revenue than Aurora, although the difference remains commercially small. Kodiak generated $1.8 million in the latest completed quarter, around 80% more than Aurora’s approximately $1 million.
Kodiak’s quarterly revenue also rose 74%, mainly because Atlas operated more trucks under its Driver-as-a-Service model. Revenue, fleet size and paid hours are moving in the same direction, which makes the recent improvement credible.
The longer trend is less flattering. Kodiak generated $3.8 million in 2025, down from $14.9 million the previous year. The earlier figure included development programs and other work that did not represent a recurring driverless-trucking business.
Aurora expects between $14 million and $16 million for the full year, with more than half projected to arrive in the fourth quarter. Reaching the $15 million midpoint would mean five times its 2025 revenue, but most of that increase still depends on new trucks entering service.
Neither business is close to attractive economics. Aurora spent $6 million on cost of revenue to generate approximately $1 million in sales. Kodiak recorded negative free cash flow of $35 million against $1.8 million of quarterly revenue.
Kodiak leads the revenue comparison today. It is early monetization, not yet a proven business model.
Q6Does Aurora have better autonomous-trucking customers than Kodiak and Waabi?
Aurora has the strongest customer portfolio because it combines several major carriers, shippers and logistics providers with growing driverless activity. Kodiak has a deeper relationship with one customer, while Waabi still has more strategic partners than commercial users.
Aurora now has seven customers in its driverless cohort. Its broader network includes McLane, Hirschbach, FedEx, Schneider, Werner, DSV, Uber Freight and Volvo Autonomous Solutions.
McLane moved from supervised trials into driverless operations after accumulating more than 280,000 autonomous miles and 1,400 loads with Aurora. The relationship reflects repeated use, not a newly announced pilot.
Hirschbach represents Aurora’s largest future opportunity. The carrier intends to own and operate up to 500 Aurora-powered trucks from 2027. The agreement remains non-binding, so the volume is serious interest rather than guaranteed demand.
Kodiak’s Atlas relationship is narrower but more advanced operationally. Atlas owns the trucks, schedules them inside its production network and has placed an initial order covering 100 vehicles. More than one-quarter of that order had entered service by the end of the first quarter.
Most of Kodiak’s visible driverless activity still comes from Atlas. Its work with Roehl broadens the customer base, but those highway operations remain supervised.
Waabi has important relationships with Volvo, Uber and NVIDIA. These partners provide vehicles, funding, compute and potential distribution. They do not yet show that freight customers are paying Waabi to move loads without drivers.
Aurora wins on breadth. Kodiak wins on the depth of one deployed relationship. Breadth is more valuable at this stage, so Aurora takes the category.
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Q7Which company can manufacture autonomous trucks at scale first?
Aurora has assembled the clearest manufacturing path among the three. It combines near-term truck upfitting, direct factory integration and a later hardware program designed for much larger volumes.
Aurora’s second-generation hardware is being installed on International LT Series trucks through Roush. The new system should cost more than 50% less than its first-generation kit and last around one million miles.
Roush is expected to reach capacity for approximately 20 trucks per week. That rate could theoretically support around 1,000 trucks annually once the line operates consistently.
Volvo provides Aurora with another production route. The manufacturer has already completed several Aurora-powered trucks on its pilot line and plans to build hundreds of VNL Autonomous trucks in 2027.
AUMOVIO is developing Aurora’s third-generation hardware for higher-volume production. Initial units are already being tested, with production planned for the second half of 2027.
Together, these programs support Aurora’s objective of ending the year with more than 200 driverless trucks. The target represents at least a twentyfold increase from its last disclosed fleet peak. Missing it would expose a pretty large gap between Aurora’s technical progress and its industrial readiness.
Waabi also uses the Volvo VNL Autonomous. Its software is integrated into the vehicle and is now being tested on public roads, but Volvo has not disclosed a Waabi production schedule or commercial allocation.
Kodiak’s collaboration with Bosch should improve the production readiness of its sensors and redundant hardware. Its modular SensorPods are also easier to replace when damaged in rough environments. The company still relies more heavily on post-factory integration than Aurora’s longer-term programs.
Aurora leads because it has several production routes covering different stages of scale.
Q8Has Kodiak found a better way to sell autonomous trucks than Aurora?
Kodiak has already proved the cleaner customer-owned business model, while Aurora has built the wider distribution network. Kodiak leads on the model operating today. Aurora has the larger potential route to market.
Atlas purchases and operates Kodiak-powered trucks directly. Kodiak supplies the virtual driver without taking responsibility for the entire freight operation.
The customer already controls dispatching, terminals, maintenance and freight contracts. Kodiak can focus on the autonomous system and collect recurring service revenue.
Aurora currently operates more of the service itself through a Transportation-as-a-Service model. That gives the company control during the early launch, but it also leaves Aurora carrying substantial fleet and support costs.
Aurora plans to move toward Driver-as-a-Service through customer-owned deployments such as the proposed Hirschbach fleet. Meaningful deliveries are planned for 2027.
Aurora’s wider distribution partially offsets Kodiak’s head start. It can reach fleets through direct carrier relationships, Volvo Autonomous Solutions, freight platforms and large shippers. Kodiak’s driverless business remains heavily tied to Atlas.
Waabi also wants a direct-to-customer model. Its claimed surface-street capability could eventually allow trucks to travel from origin to destination without autonomous transfer hubs. No commercial deployment currently proves that advantage.
Kodiak is the only company here already generating recurring revenue from a customer-owned driverless fleet. On this question, it wins cleanly.
Q9Does Aurora have the strongest autonomous-trucking safety case?
Aurora currently presents the strongest public safety evidence among the three. It combines public-highway driverless mileage with a detailed safety case that has received an outside review.
Aurora reported more than 250,000 driverless public-road miles without an Aurora Driver-attributed collision. It also reported 100% on-time performance across its commercial driverless loads at the time of the disclosure.
That mileage remains too limited for a definitive statistical comparison with human drivers or competing systems. One serious event would still change the observed record substantially.
Aurora’s process evidence is more distinctive. Edge Case conducted a three-month assessment of its safety case, examining its structure and sampling supporting claims against NHTSA safety elements and standards including UL 4600 and ISO 26262.
The review found that Aurora’s safety case was well structured, actively maintained and supported by evidence. It did not certify every component or guarantee future performance. Aurora’s CEO also sits on the Edge Case board, although both companies state that he had no role in selecting or reviewing the work.
Kodiak’s strongest outside indicator is its Nauto VERA score of 98, tied for the highest score among more than 1,000 commercial fleets. Kodiak also has substantial driverless operating time in the Permian Basin.
The VERA score includes broader fleet-driving behavior, so it cannot provide a clean comparison with Aurora’s driverless highway record.
Waabi emphasizes verifiable AI, simulation and mixed-reality testing. Those tools may cover rare situations efficiently, but Waabi has not published enough driverless public-road exposure for an equivalent assessment.
Aurora has shown the clearest evidence. The lead is real, though the mileage base is still far too small for anyone to declare the safety question settled.
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Send me the signals →Q10Is Aurora improving its autonomous-trucking product faster than Kodiak and Waabi?
Aurora is currently turning product improvements into commercial capability faster, while Waabi may be progressing faster at the underlying AI level. Kodiak’s strongest improvements appear in deployment speed, utilization and hardware maintainability.
Aurora’s early driverless service covered one Texas corridor under relatively narrow conditions. Later releases added nighttime driving, difficult weather and routes reaching El Paso, Laredo and Oklahoma City.
These additions increase the number of usable hours and potential loads. Night and weather coverage determine whether fleets can treat an autonomous truck as ordinary equipment rather than a restricted asset.
Aurora also validated its Dallas-to-Laredo route within six weeks of beginning supervised operations. The route-expansion process appears to be becoming more repeatable.
Kodiak has expanded physical deployments quickly. Its Atlas fleet grew from two trucks at launch to 28 in the latest quarterly report. Its SensorPod design also helps reduce downtime because damaged sensing units can be replaced more easily.
Kodiak’s internally reported long-haul Autonomy Readiness Measure reached 86% in April. The number is encouraging, but the planned highway launch will tell us much more than a company-created score.
Waabi produced the most surprising technical claim. According to its June 2026 engineering note, the Waabi Driver transferred from a Peterbilt 579 to the Volvo VNL Autonomous without new real-world training data, new simulation data or model fine-tuning.
Waabi says the Volvo truck performed autonomously from its first mile across highways and surface streets. Volvo confirmed that the integrated vehicle was testing on public roads, although intervention rates and scenario difficulty remain undisclosed.
Aurora wins on commercial product velocity. Waabi owns the boldest recent technical result.
Q11What can Aurora, Kodiak or Waabi do that rivals cannot easily copy?
Waabi has the most differentiated software architecture, but Aurora currently owns the harder-to-copy commercial system. Kodiak’s defensibility comes from modular hardware and experience with customer-owned operations.
Waabi designed one end-to-end AI model to handle perception, prediction and driving decisions, supported by its Waabi World simulator. The architecture aims to learn broad driving behavior without relying on thousands of manually written rules.
Its Volvo transfer gives that strategy its strongest evidence so far. A model that adapts across trucks and sensor configurations without retraining could expand more quickly than systems requiring heavy vehicle-specific engineering.
Waabi has not disclosed benchmarks, intervention rates or enough operating data for outsiders to verify the size of this advantage.
Aurora’s moat is broader and easier to observe. It combines proprietary long-range lidar, driverless highway experience, route-validation systems, truck integrations, safety processes and years of customer operations.
That experience accumulates through terminal procedures, weather disruptions, maintenance events, remote assistance and freight scheduling. Rivals can purchase similar components more easily than they can reproduce the entire operating history.
Kodiak’s SensorPods and vehicle-agnostic design provide practical advantages. The company can replace damaged sensing hardware quickly and adapt its system across industrial, highway and defense vehicles.
The physical architecture could eventually be copied. Kodiak’s stronger advantage is the proof that a customer can own and operate driverless vehicles without Kodiak running the full fleet.
Waabi has the most original AI bet. Aurora has the strongest combined moat today.
Q12Can Aurora, Kodiak and Waabi afford the autonomous-trucking race?
Aurora can currently fund the longest fight, while Waabi has received the largest recent injection of private capital. Kodiak remains the most financially constrained company in the group.
Aurora ended the first quarter with approximately $1.28 billion in cash and investments. It used $159 million of operating cash and spent another $25 million on capital expenditures during the quarter.
Holding spending constant would give Aurora roughly seven quarters of liquidity. The real runway will depend on fleet expansion, revenue, capital spending and future stock issuance.
Kodiak ended the same quarter with $90.2 million in cash and securities. Its announced $100 million PIPE would bring pro forma liquidity to roughly $190 million before fees and later spending.
Kodiak used $29.5 million of operating cash and recorded negative free cash flow of $35 million during the quarter. At that pace, the company would have around five quarters of funding and would probably need to raise again before reaching large-scale highway deployment.
Waabi closed a $750 million Series C and secured the possibility of another $250 million from Uber if it reaches agreed robotaxi milestones. Waabi does not report quarterly spending, so its runway cannot be calculated credibly.
That capital must now support both autonomous trucks and robotaxis. Even so, the latest financing gives Waabi much more freedom than Kodiak.
Aurora retains the strongest overall position because it combines more than $1 billion of disclosed liquidity with access to public equity markets.
Financial capacity for the autonomous-trucking race
| Financial measure | Aurora | Kodiak | Waabi | Leader |
|---|---|---|---|---|
| Latest disclosed liquidity or closed funding | About $1.28B | About $190M pro forma after PIPE | $750M Series C | Aurora |
| Latest quarterly cash-use measure | $159M operating cash use plus $25M capex | $35M negative free cash flow | Not disclosed | — |
| Approximate runway from disclosed figures | Around seven quarters at the same spending rate | Around five quarters at the same spending rate | Cannot be calculated | Aurora |
| Financial position | Strongest overall capacity | Most constrained | Largest fresh private raise | Aurora |
Q13Which company has the best long-term position in autonomous trucking?
Aurora remains the long-term favorite, while Waabi has the clearest path to an unexpected leap forward. Kodiak is more likely to build a durable industrial-autonomy business, but it still needs to prove that its model works on public highways.
Aurora’s case rests on advantages that can compound: commercial driverless routes, several major customers, multiple truck platforms, more than $1 billion of liquidity and a manufacturing plan covering three hardware generations.
Its main risk is economic. Aurora’s revenue remains tiny beside its spending, and early operations still require heavy company support. The planned fleet expansion must bring much higher utilization and lower support costs per truck.
Kodiak has built the cleanest customer-owned operating model. Atlas shows that a customer can purchase the vehicles, use them continuously and pay Kodiak for the virtual driver.
Industrial logistics and defense give Kodiak additional revenue opportunities. Those markets also create a risk that the company becomes strongest outside long-haul trucking. A successful driverless highway launch would keep Kodiak firmly in the central race.
Waabi offers the largest upside from a software breakthrough. Its architecture could require less real-world data and vehicle-specific engineering than rival systems.
The company still needs to show that this technical efficiency survives production, maintenance, regulation and customer operations. Its planned robotaxi expansion with Uber will also consume capital and management attention.
Aurora has the highest probability of leading long term. Waabi has the widest range of possible outcomes. Kodiak has the strongest fallback business if nationwide long-haul autonomy develops slowly.
Q14Who is winning Aurora vs Kodiak vs Waabi right now?
Aurora is ahead of Kodiak and Waabi today, and the lead is large enough to be real without being secure. Aurora remains the only company in the group operating regular commercial driverless Class 8 trucks on public interstate routes.
That achievement outweighs Kodiak’s higher truck count and slightly larger revenue. The target market is long-haul freight, where public-road operation, customer diversity and OEM production carry more weight than raw activity inside one industrial network.
Kodiak ranks second because its commercial proof is much stronger than Waabi’s. Customer-owned vehicles, rapidly rising paid hours and recurring service revenue show that the Kodiak Driver already supports a real business.
Waabi ranks third today. Its funding, Volvo integration and cross-platform transfer claim could eventually move it much higher. The company first needs to disclose customer fleets, paid freight and driverless public-road activity.
Aurora’s lead rests mainly on three things. Its trucks already work in the market all three companies want to serve. Its customer and vehicle-partner network is broader. Its liquidity and manufacturing programs give it the best chance of surviving a costly ramp.
Aurora now needs to launch its new hardware fleet, approach its 200-truck objective and show that revenue rises much faster than support costs.
Kodiak must remove the driver from long-haul highway service and bring another major customer into its customer-owned model.
Waabi must turn Volvo testing into regular freight operations and publish enough data for outsiders to compare its system with deployed rivals.
For now, the answer is fairly clear: Aurora leads interstate autonomous trucking, Kodiak leads customer-owned industrial autonomy and Waabi leads mainly in technical upside.
Aurora vs Kodiak vs Waabi: leader by category
| Criterion | Leader | Clarity of lead | Why it carries weight |
|---|---|---|---|
| Commercial driverless public-highway freight | Aurora | Clear | This is the central market all three want to serve. |
| Customer-owned driverless deployment | Kodiak | Clear | Atlas already owns and operates a growing fleet. |
| Paid driverless utilization | Kodiak | Clear | Hours more than doubled in the latest quarter. |
| Customer breadth | Aurora | Clear | Several carriers, shippers and logistics partners reduce concentration. |
| Manufacturing path | Aurora | Clear | Roush, Volvo and AUMOVIO cover successive stages of scale. |
| Public safety evidence | Aurora | Moderate | Public-road mileage is backed by a reviewed safety-case process. |
| Most differentiated AI architecture | Waabi | Promising but unproven | Cross-platform transfer could change deployment economics. |
| Financial capacity | Aurora | Clear | It has the largest disclosed liquidity pool. |
| Current autonomous-trucking revenue | Kodiak | Narrow | Kodiak leads, though both reporting companies remain very small commercially. |
| Long-term upside challenger | Waabi | Moderate | Funding and software leverage create a credible leapfrog path. |
| Overall position | Aurora | Meaningful lead | Aurora leads the most important race and has the strongest surrounding system. |
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Send me the signals →There is no single metric that can settle who is winning autonomous trucking. Fleet size, driverless miles, revenue, technical capability and funding each reveal part of the picture, but none provides a complete answer on its own.
We broke the comparison into the dimensions that most directly determine whether an autonomous-trucking company can move from technical progress to a durable commercial position. These covered real-world deployment, customer adoption, operating scale, revenue, business model, manufacturing readiness, safety evidence, product development, defensibility and financial capacity.
We prioritized the freshest available regulatory filings, company disclosures, customer and manufacturing-partner announcements, and independent assessments. Demonstrated results were kept separate from planned launches, internal targets, non-binding commitments and technical claims that have not yet translated into regular commercial operations.
The companies do not disclose identical metrics, so we did not force their figures into an artificial standardized score. Driverless miles show exposure to public-road conditions; paid hours and completed loads show utilization; customer-owned trucks show adoption of the operating model; production commitments show readiness to scale; and liquidity shows the ability to finance the next phase.
The conclusion was not produced by simply counting category wins. We gave more weight to the dimensions that answer the central question most directly: which company has built the strongest combination of deployed technology, commercial demand, industrial capacity and financial staying power?
Key sources used for Aurora include its first-quarter 2026 shareholder letter, its fourth-quarter and full-year 2025 shareholder letter, its announcements covering the expansion of its driverless network, the Hirschbach customer-owned fleet plan, and Volvo and DSV’s autonomous freight operation, as well as Aurora’s 2025 annual report.
Key sources used for Kodiak include its first-quarter 2026 results, its first-quarter SEC filing, its registration filing covering the Atlas deployment and business model, its announcement of supervised freight operations with Roehl, its production-hardware collaboration with Bosch, and its published Nauto safety-evaluation results.
Key sources used for Waabi include its engineering account of transferring the Waabi Driver to the Volvo VNL Autonomous, its announcement of the $750 million Series C and milestone-based Uber investment, and its platform and partnership overview. For Aurora’s safety methodology, we also reviewed Edge Case’s assessment of Aurora’s safety case and Aurora’s published Safety Case Framework.
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