Welcome back to TechCrunch Mobility — your central hub for news and insights on the future of transportation. To get this in your inbox, sign up here for free — just click TechCrunch Mobility! Waymo gets a lot of attention for its fast-paced expansion. And for good reason; it seems like every week, the company’s robotaxis are arriving in a new city, or expanding within an existing service area. We’ve known for a while that Waymo’s sixth-generation self-driving system — which debuted in its next-generation Ojai robotaxi — is central to those ambitions. But now we have a better understanding about why. The company, which just opened its Ojai robotaxi to all riders in Los Angeles, Phoenix, and San Francisco, has repeatedly said that this next-gen vehicle is cheaper to build, operate, and maintain — ingredients required if the company has any hopes of someday turning a profit. What was less clear, until this week, was just how hands-on and vertically integrated Waymo has become as it chases that goal. The company shared this week that it built a custom silicon chip — specifically a 5 nm ASIC chip, which is designed to handle the massive influx of raw data before it reaches the core “brain” of the self-driving system. (To get a sense of how much data, consider that the Waymo Ojai has 13 high-fidelity cameras.) Waymo said the chip delivers more than 1,000 TOPS (trillions of operations per second) of computing performance, a statistic that puts it roughly in the same performance range as Nvidia’s latest DRIVE AGX Thor automotive processor, a powerful computer designed for automated driving applications. The end result, Waymo says, is a system that has “unmatched efficiency and performance.” The upshot: Waymo contends that this chip is a critical piece of a system that can react fast and safely in complex, high-density environments — like cities. It’s worth noting that Waymo isn’t working alone on compute. The company listed a slew of partners, some for the first time, that includes AMD, Micron, Nvidia, Samsung, Sandisk, Socionext, and TSMC. A little bird Image Credits:Bryce Durbin A couple of little birds spoke to Sean O’Kane (senior reporter, special projects at TechCrunch) about a rather curious investigation being conducted by the Idaho National Laboratory. According to our sources, the lab is evaluating whether Chinese lidar sensors might pose a security risk if they become widely used on vehicles in the United States. That is notable on its own. But what got our attention is that the research is being funded by a company — or a group of companies — in the electric and autonomous vehicle industries. O’Kane reached out to numerous companies, including Rivian, General Motors, Ford, Kodiak, Lucid Motors, Nuro, and Uber. And all of these companies said they were unaware of the review. Aurora, Nvidia, and Zoox didn’t respond to questions. Read the full story here. Got a tip for us? Email Kirsten Korosec at kirsten.korosec@techcrunch.com or my Signal at kkorosec.07, or email Sean O’Kane at sean.okane@techcrunch.com. Deals! Image Credits:Bryce Durbin Also, the startup incubated within Rivian, has raised another <head>50 million in a Series D round led by Prysm Capital with participation from existing backers Eclipse, Greenoaks, and MVP Ventures. Also has raised $455 million since it spun out of Rivian in March 2025. The raise is notable, and not just because Also has already reached a Series D round after launching just a little more than a year ago. The company’s mission has also evolved, which helps explain why it still needs to keep raising cash. When Also launched in spring 2025, it was described as a micromobility company focused on pedal-assist electric bikes and commercial cargo quads. Now it is a “Palo Alto-based technology company building the world’s most capable driven and autonomous small electric vehicles.” That autonomous driving component popped up earlier this year when Also closed a $200 million round and announced a multiyear commercial agreement with DoorDash to develop and deploy autonomous delivery vehicles. Sidewalk delivery robot company Serve Robotics also had a notable and very timely deal this week. You might recall that earlier this month, Serve reported during its earning call that Uber had reduced its use of its robots on the app; that partnership is set to end next year. Separately, Uber also sold all of its shares in the company. Months before these changes, Serve was working on several other deals that were recently finalized, according to insiders. Serve has partnered with Grubhub to use its sidewalk robots, starting in Chicago, Los Angeles, and Alexandria, Virginia. Serve also announced that its existing partnership with DoorDash has expanded to San Jose, California, and Washington, D.C. Uber’s retreat from Serve illustrates an important lesson for
