![\"AI](\"https://info.aurora.tech/hubfs/AI%20Blog%204%20-%20Logo%20Quad.png\")
We founded Aurora nearly eight years ago to deliver the benefits of self-driving technology safely, quickly, and broadly. This mission has given purpose to our team and direction to our development: our product and our business are grounded in improving safety, creating value quickly, and scaling broadly.
\n\nRecently, we shared how we’ve leveraged advances in artificial intelligence to build a product that we can both verify safely and train quickly. Last week, I shared with our largest trucking customers how we’re building our product to deploy broadly: how we’ve specifically architected it to facilitate and benefit from scale.
\nTrucking logistics today is a vast, complex network that was built organically and evolved gradually into what is now a nearly $1 trillion dollar industry in the United States alone. Today, over 13 million trucks operated by more than 750,000 carriers and private fleets move over 30 million tons of goods across the country every day1. They do so on a range of roadways, between a variety of endpoints, and pulling a number of trailer types at a cost that clears the market for shippers and their customers.
\nTo serve this industry at scale, a compelling self-driving system needs to not only be safe; it must also quickly adapt to shifting operating conditions, rapidly expand across new routes, endpoints, and trailer types, and do so at operating costs that allow it to serve the industry profitably.
\nArchitecturally, we’ve made several choices to facilitate this expansion:
\nStructurally, we’ve assembled a broad ecosystem of partners to build, deploy, and operate Aurora Driver-powered trucks at large scale.
\n
As trucks developed, built, and deployed by this ecosystem proliferate across the U.S. highway network, their collective experience grows, the economies of scale they benefit from engage, and the network benefit they provide to customers expands. We’ve designed for this. By creating a product that efficiently acquires, processes, and learns from experiential data, we’ve set it up to benefit from three mutually-reinforcing flywheels:
\n![\"Aurora-2024-Blog-AI_Blog_4-Chart-01\"](\"https://info.aurora.tech/hubfs/Aurora-2024-Blog-AI_Blog_4-Chart-01.png\")
We expect our approach to AI and the data these flywheels generate to create a self-perpetuating advantage in a data-driven world. One that not only benefits our current customers, but ultimately, delivers the benefits of self-driving technology broadly across trucking, ride-hailing, delivery, and beyond.
\nTo learn more about Aurora's approach to verifiable AI, check out the rest of our series:
\n1 https://www.trucking.org/economics-and-industry-data
","postSummary":"We founded Aurora nearly eight years ago to deliver the benefits of self-driving technology safely, quickly, and broadly. This mission has given purpose to our team and direction to our development: our product and our business are grounded in improving safety, creating value quickly, and scaling broadly.
\n","publicAccessRules":[],"publicAccessRulesEnabled":false,"publishDate":"2024-09-12T10:00:00Z","publishImmediately":false,"rssBody":"We founded Aurora nearly eight years ago to deliver the benefits of self-driving technology safely, quickly, and broadly. This mission has given purpose to our team and direction to our development: our product and our business are grounded in improving safety, creating value quickly, and scaling broadly.
\n\nRecently, we shared how we’ve leveraged advances in artificial intelligence to build a product that we can both verify safely and train quickly. Last week, I shared with our largest trucking customers how we’re building our product to deploy broadly: how we’ve specifically architected it to facilitate and benefit from scale.
\nTrucking logistics today is a vast, complex network that was built organically and evolved gradually into what is now a nearly $1 trillion dollar industry in the United States alone. Today, over 13 million trucks operated by more than 750,000 carriers and private fleets move over 30 million tons of goods across the country every day1. They do so on a range of roadways, between a variety of endpoints, and pulling a number of trailer types at a cost that clears the market for shippers and their customers.
\nTo serve this industry at scale, a compelling self-driving system needs to not only be safe; it must also quickly adapt to shifting operating conditions, rapidly expand across new routes, endpoints, and trailer types, and do so at operating costs that allow it to serve the industry profitably.
\nArchitecturally, we’ve made several choices to facilitate this expansion:
\nStructurally, we’ve assembled a broad ecosystem of partners to build, deploy, and operate Aurora Driver-powered trucks at large scale.
\n
As trucks developed, built, and deployed by this ecosystem proliferate across the U.S. highway network, their collective experience grows, the economies of scale they benefit from engage, and the network benefit they provide to customers expands. We’ve designed for this. By creating a product that efficiently acquires, processes, and learns from experiential data, we’ve set it up to benefit from three mutually-reinforcing flywheels:
\n
We expect our approach to AI and the data these flywheels generate to create a self-perpetuating advantage in a data-driven world. One that not only benefits our current customers, but ultimately, delivers the benefits of self-driving technology broadly across trucking, ride-hailing, delivery, and beyond.
\nTo learn more about Aurora's approach to verifiable AI, check out the rest of our series:
\n1 https://www.trucking.org/economics-and-industry-data
","rssSummary":"We founded Aurora nearly eight years ago to deliver the benefits of self-driving technology safely, quickly, and broadly. This mission has given purpose to our team and direction to our development: our product and our business are grounded in improving safety, creating value quickly, and scaling broadly.
\n","slug":"engineering/the-future-of-ai-in-self-driving-facilitating-and-benefitting-from-scale","state":"PUBLISHED","tagIds":[88563884311,93654593377],"translations":{},"updated":"2024-09-12T10:00:00.454Z","updatedById":"65909140","url":"https://blog.aurora.tech/engineering/the-future-of-ai-in-self-driving-facilitating-and-benefitting-from-scale","useFeaturedImage":true,"widgetContainers":{},"widgets":{}},{"archivedAt":0,"archivedInDashboard":false,"attachedStylesheets":[],"authorName":"Zell Sarao","blogAuthorId":"93401280406","campaign":"c9a3910b-482b-4bef-b8b1-0766c6b65eb0","categoryId":3,"contentGroupId":"92523544992","contentTypeCategory":3,"created":"2024-08-26T20:19:59.265Z","createdById":"65909140","currentState":"PUBLISHED","currentlyPublished":true,"domain":"","enableGoogleAmpOutputOverride":true,"featuredImage":"https://info.aurora.tech/hubfs/I-5-Sim-Blog-Header-Image.jpg","featuredImageAltText":"","headHtml":"","htmlTitle":"Preventing Fatal Collisions: How Autonomous Trucks Could Save Lives in the Golden State","id":"176723834168","language":"en","layoutSections":{},"linkRelCanonicalUrl":"","metaDescription":"We’ve deployed our safety-focused self-driving technology in Texas, where it’s currently delivering loads in autonomy for customers on a daily basis. And soon, we’ll look westward to routes that connect our highways to major freight corridors in California.","name":"Preventing Fatal Collisions: How Autonomous Trucks Could Save Lives in the Golden State","pageExpiryEnabled":false,"postBody":"We’ve deployed our safety-focused self-driving technology in Texas, where it’s currently delivering loads in autonomy for customers on a daily basis. And soon, we’ll look westward to routes that connect our highways to major freight corridors in California.
\nAnnually, California supports 2.4 billion tons of freight, largely distributed over its 50,000 miles of highway. As the Golden State’s economy grows, this number is expected to grow to 3.6 billion tons of freight by 2040. But this economic engine also comes at a terrible human cost — there are more than 400 fatal collisions in the state involving trucks per year. This is unacceptable.
\nThe promise of self-driving — beyond its impact in strengthening supply chains and helping customers increase fleet utilization — lies in its value for improving road safety. This is core to our mission, and we’ve pledged to only launch our driverless product after we’ve closed our safety case.
\nA critical piece of that work is leveraging our industry-leading Virtual Testing Suite. Last year, we shared how Aurora leverages NHTSA’s detailed list of crash types and creates simulations to better understand how the Aurora Driver would handle challenging situations. Strong performance in these simulations helped show how we are preparing our product to safely navigate some of the toughest situations drivers face on the road.
\nUsing learnings from this approach, Aurora examined fatal collisions involving human-driven vehicles on California’s I-5 — one of the United States’ most heavily used freight corridors and a crucial part of California’s freight ecosystem.
\nAurora examined data of 14 fatal crashes on I-5 in Sacramento County between 2018-2022 and recreated those collisions in simulation to understand how the Aurora Driver would have acted if put into various positions in the scene.
\nFor example, we simulated similar situations in which the Aurora Driver was the initiating or reacting vehicle in the collision scenario, or in place of different vehicles involved in the collision.
\nOur analysis found that, in these simulated scenarios, the Aurora Driver would not have caused any of the fatal collisions.
\nSimulation is an essential piece of our development and validation process. It allows our autonomous trucks to experience the rarest of circumstances that might never be encountered over millions of miles of highway driving. High performance in simulation gives us the confidence to deploy the Aurora Driver to haul real commercial loads, and today our autonomous trucks drive thousands of miles for customers each week.
\nThe following simulations show how the Aurora Driver can bring autonomy’s safety benefits to California. In these videos, other vehicles are represented by blue boxes and pedestrians are represented by smaller pink boxes:
\n\n{% video_player \"embed_player\" overrideable=False, type='hsvideo2', hide_playlist=True, viral_sharing=False, embed_button=False, autoplay=False, hidden_controls=False, loop=False, muted=False, full_width=False, width='1920', height='1080', player_id='176671960475', style='' %}\n
Complicated Merge: In the original scenario, a passenger vehicle traveling in the right lane hit a pedestrian standing in the lane as they tended to a disabled vehicle parked on a narrow shoulder near an onramp. In our simulated scenario, the event is modified to represent an even more difficult scenario: The Aurora Driver takes the onramp and sees and tracks the pedestrian, slows down, and avoids them while negotiating a complex merge with a vehicle in an adjacent lane.
\n\n{% video_player \"embed_player\" overrideable=False, type='hsvideo2', hide_playlist=True, viral_sharing=False, embed_button=False, autoplay=False, hidden_controls=False, loop=False, muted=False, full_width=False, width='1920', height='1080', player_id='176721851711', style='' %}\n
Reacting to a Collision Ahead: In the original scenario, a passenger vehicle collided with a stopped motorcycle and standing motorcyclist and then a truck caused a secondary collision when it was not able to avoid the motorcyclist in the lane of travel as a result of the first collision. In our simulated scenario, the Aurora Driver recognizes the initial collision and responds quickly — moving out of the way in time to prevent the secondary collision.
\nA critical advantage the Aurora Driver has is that it can be trained on millions of difficult virtual driving scenarios before its tires ever hit the road. By building simulations in our Virtual Testing Suite, we can run the Aurora Driver through a wide range of scenarios — including thousands of permutations of a single scene. This allows us to adjust the speed, actors, weather, road infrastructure, and other parameters to test how our vehicle behaves.
\nWe also leverage multiple types of simulation to help us better understand the Aurora Driver’s capabilities. The videos shown above highlight how we train the Aurora Driver to make decisions, and the video below features our Perception Simulation tool, which uses realistic recreations of the world to help validate our technology’s long-range perception.
\n\n{% video_player \"embed_player\" overrideable=False, type='hsvideo2', hide_playlist=True, viral_sharing=False, embed_button=False, autoplay=False, hidden_controls=False, loop=False, muted=False, full_width=False, width='1920', height='1080', player_id='176717308529', style='' %}\n
Wrong-Way Driver: In the original incident, a three-way collision occurs due to a wrong-way driver on the highway. We iterated on the original incident in simulation by placing the Aurora Driver in the position of avoiding the wrong-way driver while accounting for a passenger vehicle alongside it in the adjacent lane. In our simulated scenario, the Aurora Driver’s long-range FirstLight lidar recognizes the wrong-way driver far in advance and is able to safely complete a contested merge to move out of the way — preventing the collision from occurring.
\nMore than 5,000 fatal crashes involving large trucks occur on our nation’s highways annually. Now, as California policymakers consider the future of autonomous trucking in the state, we can’t afford to close the door on this technology. We need all the tools at our disposal, including autonomous trucks, to save lives and make our roads safer for everyone.
\n\n
Disclaimer: Fatal collision scenarios were created in simulation using and varying details from police reports. While these simulations are generally representative of the type of original collision, details may differ between the original collision and the simulated scenario.
","postSummary":"We’ve deployed our safety-focused self-driving technology in Texas, where it’s currently delivering loads in autonomy for customers on a daily basis. And soon, we’ll look westward to routes that connect our highways to major freight corridors in California.
\n","publicAccessRules":[],"publicAccessRulesEnabled":false,"publishDate":"2024-08-27T17:26:21Z","publishImmediately":true,"rssBody":"We’ve deployed our safety-focused self-driving technology in Texas, where it’s currently delivering loads in autonomy for customers on a daily basis. And soon, we’ll look westward to routes that connect our highways to major freight corridors in California.
\nAnnually, California supports 2.4 billion tons of freight, largely distributed over its 50,000 miles of highway. As the Golden State’s economy grows, this number is expected to grow to 3.6 billion tons of freight by 2040. But this economic engine also comes at a terrible human cost — there are more than 400 fatal collisions in the state involving trucks per year. This is unacceptable.
\nThe promise of self-driving — beyond its impact in strengthening supply chains and helping customers increase fleet utilization — lies in its value for improving road safety. This is core to our mission, and we’ve pledged to only launch our driverless product after we’ve closed our safety case.
\nA critical piece of that work is leveraging our industry-leading Virtual Testing Suite. Last year, we shared how Aurora leverages NHTSA’s detailed list of crash types and creates simulations to better understand how the Aurora Driver would handle challenging situations. Strong performance in these simulations helped show how we are preparing our product to safely navigate some of the toughest situations drivers face on the road.
\nUsing learnings from this approach, Aurora examined fatal collisions involving human-driven vehicles on California’s I-5 — one of the United States’ most heavily used freight corridors and a crucial part of California’s freight ecosystem.
\nAurora examined data of 14 fatal crashes on I-5 in Sacramento County between 2018-2022 and recreated those collisions in simulation to understand how the Aurora Driver would have acted if put into various positions in the scene.
\nFor example, we simulated similar situations in which the Aurora Driver was the initiating or reacting vehicle in the collision scenario, or in place of different vehicles involved in the collision.
\nOur analysis found that, in these simulated scenarios, the Aurora Driver would not have caused any of the fatal collisions.
\nSimulation is an essential piece of our development and validation process. It allows our autonomous trucks to experience the rarest of circumstances that might never be encountered over millions of miles of highway driving. High performance in simulation gives us the confidence to deploy the Aurora Driver to haul real commercial loads, and today our autonomous trucks drive thousands of miles for customers each week.
\nThe following simulations show how the Aurora Driver can bring autonomy’s safety benefits to California. In these videos, other vehicles are represented by blue boxes and pedestrians are represented by smaller pink boxes:
\n\n{% video_player \"embed_player\" overrideable=False, type='hsvideo2', hide_playlist=True, viral_sharing=False, embed_button=False, autoplay=False, hidden_controls=False, loop=False, muted=False, full_width=False, width='1920', height='1080', player_id='176671960475', style='' %}\n
Complicated Merge: In the original scenario, a passenger vehicle traveling in the right lane hit a pedestrian standing in the lane as they tended to a disabled vehicle parked on a narrow shoulder near an onramp. In our simulated scenario, the event is modified to represent an even more difficult scenario: The Aurora Driver takes the onramp and sees and tracks the pedestrian, slows down, and avoids them while negotiating a complex merge with a vehicle in an adjacent lane.
\n\n{% video_player \"embed_player\" overrideable=False, type='hsvideo2', hide_playlist=True, viral_sharing=False, embed_button=False, autoplay=False, hidden_controls=False, loop=False, muted=False, full_width=False, width='1920', height='1080', player_id='176721851711', style='' %}\n
Reacting to a Collision Ahead: In the original scenario, a passenger vehicle collided with a stopped motorcycle and standing motorcyclist and then a truck caused a secondary collision when it was not able to avoid the motorcyclist in the lane of travel as a result of the first collision. In our simulated scenario, the Aurora Driver recognizes the initial collision and responds quickly — moving out of the way in time to prevent the secondary collision.
\nA critical advantage the Aurora Driver has is that it can be trained on millions of difficult virtual driving scenarios before its tires ever hit the road. By building simulations in our Virtual Testing Suite, we can run the Aurora Driver through a wide range of scenarios — including thousands of permutations of a single scene. This allows us to adjust the speed, actors, weather, road infrastructure, and other parameters to test how our vehicle behaves.
\nWe also leverage multiple types of simulation to help us better understand the Aurora Driver’s capabilities. The videos shown above highlight how we train the Aurora Driver to make decisions, and the video below features our Perception Simulation tool, which uses realistic recreations of the world to help validate our technology’s long-range perception.
\n\n{% video_player \"embed_player\" overrideable=False, type='hsvideo2', hide_playlist=True, viral_sharing=False, embed_button=False, autoplay=False, hidden_controls=False, loop=False, muted=False, full_width=False, width='1920', height='1080', player_id='176717308529', style='' %}\n
Wrong-Way Driver: In the original incident, a three-way collision occurs due to a wrong-way driver on the highway. We iterated on the original incident in simulation by placing the Aurora Driver in the position of avoiding the wrong-way driver while accounting for a passenger vehicle alongside it in the adjacent lane. In our simulated scenario, the Aurora Driver’s long-range FirstLight lidar recognizes the wrong-way driver far in advance and is able to safely complete a contested merge to move out of the way — preventing the collision from occurring.
\nMore than 5,000 fatal crashes involving large trucks occur on our nation’s highways annually. Now, as California policymakers consider the future of autonomous trucking in the state, we can’t afford to close the door on this technology. We need all the tools at our disposal, including autonomous trucks, to save lives and make our roads safer for everyone.
\n\n
Disclaimer: Fatal collision scenarios were created in simulation using and varying details from police reports. While these simulations are generally representative of the type of original collision, details may differ between the original collision and the simulated scenario.
","rssSummary":"We’ve deployed our safety-focused self-driving technology in Texas, where it’s currently delivering loads in autonomy for customers on a daily basis. And soon, we’ll look westward to routes that connect our highways to major freight corridors in California.
\n","slug":"safety/preventing-fatal-collisions-how-autonomous-trucks-could-save-lives-in-the-golden-state","state":"PUBLISHED","tagIds":[170231860597],"translations":{},"updated":"2024-08-27T19:14:16.582Z","updatedById":"65909140","url":"https://blog.aurora.tech/safety/preventing-fatal-collisions-how-autonomous-trucks-could-save-lives-in-the-golden-state","useFeaturedImage":true,"widgetContainers":{},"widgets":{}},{"archivedAt":0,"archivedInDashboard":false,"attachedStylesheets":[],"authorName":"Zell Sarao","blogAuthorId":"94782875023","campaign":"c9a3910b-482b-4bef-b8b1-0766c6b65eb0","categoryId":3,"contentGroupId":"88561583994","contentTypeCategory":3,"created":"2024-08-02T21:14:34.274Z","createdById":"65909140","currentState":"PUBLISHED","currentlyPublished":true,"domain":"","enableGoogleAmpOutputOverride":true,"featuredImage":"https://info.aurora.tech/hubfs/AUR_blog%201080p.jpg","featuredImageAltText":"","headHtml":"","htmlTitle":"Paving the Road for Aurora’s Growth","id":"174783282222","language":"en","layoutSections":{},"linkRelCanonicalUrl":"","metaDescription":"Last week we raised a total gross proceeds of $483 million, which adds to our $1 billion of liquidity as of the end of June. With runway well into 2026, we expect this incremental capital to fund the initial phase of our scaling strategy. I feel energized by this momentum as we prepare to launch driverless trucks in Texas, planned for the end of this year.","name":"Paving the Road for Aurora’s Growth","pageExpiryEnabled":false,"postBody":"Last week we raised total gross proceeds of $483 million, which adds to our $1 billion of liquidity as of the end of June. With runway well into 2026, we expect this incremental capital to fund the initial phase of our scaling strategy. I feel energized by this momentum as we prepare to launch driverless trucks in Texas, planned for the end of this year.
\n\nI believe there are specific reasons some of Wall Street’s largest institutional investors continue to back Aurora:
\nWhen I look to the future, I envision a world where goods move safely 24/7/365 on driverless trucks. Trucking is the backbone of the American economy but our supply chains are fragile and the number of people who want to drive trucks has not kept up with the demand to move goods. Trucking, as it stands today, is also dangerous – there are now half a million crashes involving trucks resulting in nearly 6,000 deaths every year. Simply put, this technology can’t come soon enough.
\nI am proud of what Aurora has accomplished. The endorsement from the market continues to validate our progress, path to scale, and the fact we have the most talented team dedicated to bringing this transformative technology to our roads.
\nI can’t wait for the exciting milestones ahead.
\n-Chris
\n\n
Cautionary Statement Regarding Forward-Looking Statements
\nThis article contains certain forward-looking statements within the meaning of the United States federal securities laws. All statements contained in this article that do not relate to matters of historical fact should be considered forward-looking statements, including but not limited to: those statements around our ability to achieve certain milestones around, and realize the potential benefits of, the development, manufacturing, scaling, and commercialization of the Aurora Driver and related services, including relationships and anticipated benefits with partners and customers, and on the timeframe we expect or at all, the market opportunity and profitability of our products and services, and our expected cash use and cash runway. These statements are based on the current assumptions of Aurora’s and Continental’s management and are neither promises nor guarantees, but involve known and unknown risks, uncertainties and other important factors that may cause our actual performance or achievements to be materially different from any future performance or achievements expressed or implied by the forward-looking statements. For factors that could cause actual results to differ materially from the forward-looking statements in this investor letter, please see the risks and uncertainties identified under the heading “Risk Factors” section of Aurora Innovation, Inc.’s (“Aurora”) Annual Report on Form 10-K for the year ended December 31, 2023, filed with the SEC on February 15, 2024, as amended by the Form 10-K/A filed with the SEC on May 24, 2024, and other documents filed by Aurora from time to time with the SEC, which are accessible on the SEC website at www.sec.gov. All forward-looking statements reflect our beliefs and assumptions only as of the date of this investor letter. Aurora undertakes no obligation to update forward-looking statements to reflect future events or circumstances.
","postSummary":"Last week we raised total gross proceeds of $483 million, which adds to our $1 billion of liquidity as of the end of June. With runway well into 2026, we expect this incremental capital to fund the initial phase of our scaling strategy. I feel energized by this momentum as we prepare to launch driverless trucks in Texas, planned for the end of this year.
\n","publicAccessRules":[],"publicAccessRulesEnabled":false,"publishDate":"2024-08-03T22:10:02Z","publishImmediately":true,"rssBody":"Last week we raised total gross proceeds of $483 million, which adds to our $1 billion of liquidity as of the end of June. With runway well into 2026, we expect this incremental capital to fund the initial phase of our scaling strategy. I feel energized by this momentum as we prepare to launch driverless trucks in Texas, planned for the end of this year.
\n\nI believe there are specific reasons some of Wall Street’s largest institutional investors continue to back Aurora:
\nWhen I look to the future, I envision a world where goods move safely 24/7/365 on driverless trucks. Trucking is the backbone of the American economy but our supply chains are fragile and the number of people who want to drive trucks has not kept up with the demand to move goods. Trucking, as it stands today, is also dangerous – there are now half a million crashes involving trucks resulting in nearly 6,000 deaths every year. Simply put, this technology can’t come soon enough.
\nI am proud of what Aurora has accomplished. The endorsement from the market continues to validate our progress, path to scale, and the fact we have the most talented team dedicated to bringing this transformative technology to our roads.
\nI can’t wait for the exciting milestones ahead.
\n-Chris
\n\n
Cautionary Statement Regarding Forward-Looking Statements
\nThis article contains certain forward-looking statements within the meaning of the United States federal securities laws. All statements contained in this article that do not relate to matters of historical fact should be considered forward-looking statements, including but not limited to: those statements around our ability to achieve certain milestones around, and realize the potential benefits of, the development, manufacturing, scaling, and commercialization of the Aurora Driver and related services, including relationships and anticipated benefits with partners and customers, and on the timeframe we expect or at all, the market opportunity and profitability of our products and services, and our expected cash use and cash runway. These statements are based on the current assumptions of Aurora’s and Continental’s management and are neither promises nor guarantees, but involve known and unknown risks, uncertainties and other important factors that may cause our actual performance or achievements to be materially different from any future performance or achievements expressed or implied by the forward-looking statements. For factors that could cause actual results to differ materially from the forward-looking statements in this investor letter, please see the risks and uncertainties identified under the heading “Risk Factors” section of Aurora Innovation, Inc.’s (“Aurora”) Annual Report on Form 10-K for the year ended December 31, 2023, filed with the SEC on February 15, 2024, as amended by the Form 10-K/A filed with the SEC on May 24, 2024, and other documents filed by Aurora from time to time with the SEC, which are accessible on the SEC website at www.sec.gov. All forward-looking statements reflect our beliefs and assumptions only as of the date of this investor letter. Aurora undertakes no obligation to update forward-looking statements to reflect future events or circumstances.
","rssSummary":"Last week we raised total gross proceeds of $483 million, which adds to our $1 billion of liquidity as of the end of June. With runway well into 2026, we expect this incremental capital to fund the initial phase of our scaling strategy. I feel energized by this momentum as we prepare to launch driverless trucks in Texas, planned for the end of this year.
\n","slug":"engineering/paving-the-road-for-auroras-growth","state":"PUBLISHED","tagIds":[93656518787],"translations":{},"updated":"2024-08-05T16:14:32.287Z","updatedById":"65909140","url":"https://blog.aurora.tech/engineering/paving-the-road-for-auroras-growth","useFeaturedImage":true,"widgetContainers":{},"widgets":{}}],"paging":{"next":{"after":"Mw%3D%3D","link":"https://api.hubapi.com/cms/v3/blogs/posts?limit=3&state=PUBLISHED&sort=-publishDate&after=Mw%3D%3D"}}}