Kinetic cofounders: CEO Nikhil Naikal, CTO Sander Marques, COO Chris Weber
Courtesy: Kinetic Automation
While electric vehicle demand is still increasing in the U.S., the sales growth rate for cars that pollute less has cooled down in 2024 due partly to the high cost of insurance and repairs for tech-laden new models.
A 2024 study by J.D. Power found that, despite the climate benefits, only 26% of car buyers in the U.S. were “very likely to consider purchasing” an EV in the next year, and more than 20% were “very unlikely to consider an EV purchase” at all.
That’s where Santa Ana, California startup Kinetic Automation comes in. By providing diagnostics and recalibration of the high-tech systems in modern vehicles, the company hopes to decrease costs associated with EV ownership and repairs.
The startup, which employs about 40 people full-time, has developed a robotic system that uses computer vision and machine-learning software to quickly diagnose issues with a vehicle’s digital systems.
Kinetic CEO and co-founder Nikhil Naikal explained that a lot of new models, especially battery electrics, are loaded with bells and whistles such as touchscreens and robust infotainment software, along with a variety of cameras and sensors that enable everything from rapid charging to driver safety features including forward collision avoidance, lane-keeping and adaptive cruise control.
The existing collision repair industry is well-equipped to handle most physical fixes like replacing a bumper, a busted windshield, brakes and paint or adjusting alignment. But for many collision repair centers and auto dealerships, ensuring all sensors, software and computers are working properly can prove time-consuming and expensive.
Kinetic puts its robotic systems and technicians to work helping these shops and dealerships fix the finicky, “digital” aspects of customers’ cars.
Here’s how it works: A customer’s car rolls up to one of Kinetic’s service bays, where it is scanned from bumper to fender with machine vision sensors, some on a robotic arm that peers over the top of the vehicle.
The scan determines which systems need to be precisely programmed or need a recalibration. Then Kinetic’s software, which is connected to the vehicle’s systems, will initiate and track the completion of those fixes.
Kinetic uses robotics and AI to recalibrate the software and sensors in electric vehicles.
Courtesy: Kinetic Automation
The company built its first four service hubs in Las Vegas, and Orange County, San Bernardino and Riverside counties in California.
To fuel its growth, Kinetic has raised $21 million in a Series B round of venture funding led by Menlo Ventures, joined by Allstate Strategic Ventures, Liberty Mutual Strategic Ventures and the company’s earliest investors Lux Capital, Construct Capital and Haystack Ventures.
Menlo Ventures’ Partner Shawn Carolan, who invested in Uber and Jump Bikes, said collision companies and auto dealerships that had worked with Kinetic as pilot customers helped convince his firm to lead the deal.
“They were saying, ‘This reduced our cycle time by days.’ Or ‘We got cars back to customers faster and cheaper,’ and ‘This made my life way easier,'” he explained. “So we knew this was already solving a tremendous pain point.”
Before starting Kinetic with his co-founders, COO Chris Weber and CTO Sander Marques, Naikal worked as the vice president of software engineering at Velodyne, a company that made lidar sensors that enable robots, drones and autonomous vehicles to detect and avoid objects in their surrounding environment. Velodyne merged with Ouster in 2023.
Weber previously worked as an operations leader at Uber, while Marques is a repeat tech entrepreneur whose prior company developed engine control modules for high-performance vehicles.
Kinetic will one day provide its services to robotaxi fleets, Naikal said, and to the owners of other autonomous vehicles. But for now, the startup is focused on hiring, training technicians and building out its service hubs across the U.S. to handle a higher volume of auto repairs, especially the electric vehicles that are growing to comprise a larger portion of cars on U.S. roads each year.
So far, Kinetic has most commonly worked on Ford Mach-E, GM Chevy Bolt, Hyundai Ioniq EVs, and some Teslas at its existing service hubs, the CEO said.
Market research firm Canalys forecasts that sales of battery and plug-in hybrid electric vehicles combined will reach 2.2 million units in 2024 in North America, representing about 12.5% of all new vehicle sales in the region.
“Motor vehicle insurance for EVs, and across the board, has been a major contributor to inflation rising something like 20% when you look at the Consumer Price Index over the last 12 months,” Naikal said. “I’d like to hope we can shave a few points off of that while making people more comfortable switching to electrics.”
Oracle CEO Clay Magouyrk appears on a media tour of the Stargate AI data center in Abilene, Texas, on Sept. 23, 2025.
Kyle Grillot | Bloomberg | Getty Images
Oracle on Friday pushed back against a report that said the company will complete data centers for OpenAI, one of its major customers, in 2028, rather than 2027.
The delay is due to a shortage of labor and materials, according to the Friday report from Bloomberg, which cited unnamed people. Oracle shares fell to a session low of $185.98, down 6.5% from Thursday’s close.
“Site selection and delivery timelines were established in close coordination with OpenAI following execution of the agreement and were jointly agreed,” an Oracle spokesperson said in an email to CNBC. “There have been no delays to any sites required to meet our contractual commitments, and all milestones remain on track.”
The Oracle spokesperson did not specify a timeline for turning on cloud computing infrastructure for OpenAI. In September, OpenAI said it had a partnership with Oracle worth more than $300 billion over the next five years.
“We have a good relationship with OpenAI,” Clay Magouyrk, one of Oracle’s two newly appointed CEOs, said at an October analyst meeting.
Doing business with OpenAI is relatively new to 48-year-old Oracle. Historically, Oracle grew through sales of its database software and business applications. Its cloud infrastructure business now contributes over one-fourth of revenue, although Oracle remains a smaller hyperscaler than Amazon, Microsoft and Google.
OpenAI has also made commitments to other companies as it looks to meet expected capacity needs.
In September, Nvidia said it had signed a letter of intent with OpenAI to deploy at least 10 gigawatts of Nvidia equipment for the San Francisco artificial intelligence startup. The first phase of that project is expected in the second half of 2026.
Nvidia and OpenAI said in a September statement that they “look forward to finalizing the details of this new phase of strategic partnership in the coming weeks.”
But no announcement has come yet.
In a November filing, Nvidia said “there is no assurance that we will enter into definitive agreements with respect to the OpenAI opportunity.”
OpenAI has historically relied on Nvidia graphics processing units to operate ChatGPT and other products, and now it’s also looking at designing custom chips in a collaboration with Broadcom.
On Thursday, Broadcom CEO Hock Tan laid out a timeline for the OpenAI work, which was announced in October. Broadcom and OpenAI said they had signed a term sheet.
“It’s more like 2027, 2028, 2029, 10 gigawatts, that was the OpenAI discussion,” Tan said on Broadcom’s earnings call. “And that’s, I call it, an agreement, an alignment of where we’re headed with respect to a very respected and valued customer, OpenAI. But we do not expect much in 2026.”
“This is the wrong approach — and most likely illegal,” Sen. Amy Klobuchar, D-Minn., said in a post on X Thursday.
“We need a strong federal safety standard, but we should not remove the few protections Americans currently have from the downsides of AI,” Klobuchar said.
Trump’s executive order directs Attorney General Pam Bondi to create a task force to challenge state laws regulating AI.
The Commerce Department was also directed to identify “onerous” state regulations aimed at AI.
The order is a win for tech companies such as OpenAI and Google and the venture firm Andreessen Horowitz, which have all lobbied against state regulations they view as burdensome.
It follows a push by some Republicans in Congress to impose a moratorium on state AI laws. A recent plan to tack on that moratorium to the National Defense Authorization Act was scuttled.
Collin McCune, head of government affairs at Andreessen Horowitz, celebrated Trump’s order, calling it “an important first step” to boost American competition and innovation. But McCune urged Congress to codify a national AI framework.
“States have an important role in addressing harms and protecting people, but they can’t provide the long-term clarity or national direction that only Congress can deliver,” McCune said in a statement.
Sriram Krishnan, a White House AI advisor and former general partner at Andreessen Horowitz, during an interview Friday on CNBC’s “Squawk Box,” said that Trump is was looking to partner with Congress to pass such legislation.
“The White House is now taking a firm stance where we want to push back on ‘doomer’ laws that exist in a bunch of states around the country,” Krishnan said.
He also said that the goal of the executive order is to give the White House tools to go after state laws that it believes make America less competitive, such as recently passed legislation in Democratic-led states like California and Colorado.
The White House will not use the executive order to target state laws that protect the safety of children, Krishnan said.
Robert Weissman, co-president of the consumer advocacy group Public Citizen, called Trump’s order “mostly bluster” and said the president “cannot unilaterally preempt state law.”
“We expect the EO to be challenged in court and defeated,” Weissman said in a statement. “In the meantime, states should continue their efforts to protect their residents from the mounting dangers of unregulated AI.”
Weissman said about the order, “This reward to Big Tech is a disgraceful invitation to reckless behavior by the world’s largest corporations and a complete override of the federalist principles that Trump and MAGA claim to venerate.”
In the short term, the order could affect a handful of states that have already passed legislation targeting AI. The order says that states whose laws are considered onerous could lose federal funding.
One Colorado law, set to take effect in June, will require AI developers to protect consumers from reasonably foreseeable risks of algorithmic discrimination.
Some say Trump’s order will have no real impact on that law or other state regulations.
“I’m pretty much ignoring it, because an executive order cannot tell a state what to do,” said Colorado state Rep. Brianna Titone, a Democrat who co-sponsored the anti-discrimination law.
In California, Gov. Gavin Newsom recently signed a law that, starting in January, will require major AI companies to publicly disclose their safety protocols.
That law’s author, state Sen. Scott Wiener, said that Trump’s stated goal of having the United States dominate the AI sector is undercut by his recent moves.
“Of course, he just authorized chip sales to China & Saudi Arabia: the exact opposite of ensuring U.S. dominance,” Wiener wrote in an X post on Thursday night. The Bay Area Democrat is seeking to succeed Speaker-emerita Nancy Pelosi in the U.S. House of Representatives.
Trump on Monday said he will Nvidia to sell its advanced H200 chips to “approved customers” in China, provided that U.S. gets a 25% cut of revenues.
Coinbase is gearing up to launch an in-house prediction market, powered by Kalshi, a source close to the matter told CNBC — a strategic play to expand the number of asset classes available on the cryptocurrency exchange at a time some investors are shying away from digital assets.
The source said Coinbase and Kalshi will “soon” formally announce the prediction market, with news on the matter potentially coming as early as next week.
Rumblings of the prediction market launch have swirled for nearly a month. An alleged screenshot of Coinbase’s prediction markets dashboard shared by Silicon Valley researcher Jane Manchun Wong in an X post dated Nov. 18 offered some clues about the new product.
The Information first reported on Nov. 19 that Coinbase planned to launch prediction markets powered by Kalshi, adding that the exchange would unveil the new product at its “Coinbase System Update” event on Dec. 17. Bloomberg published a similar report on Thursday, citing a source familiar with the matter, adding that Coinbase would also announce a tokenized stock offering at the showcase.
Coinbase declined to confirm the reports to CNBC, but said to tune into its event next week. The firm did not comment on a timeline for when its prediction markets would go live for its users.
Coinbase’s upcoming product launches underscore its push to refashion itself into an “everything exchange,” or a one-stop shop for trading all kinds of assets, including crypto tokens, tokenized stocks and event contracts. In May, CEO Brian Armstrong articulated that “everything exchange” vision to investors, saying Coinbase would aim to become a top financial services app within the next decade.
The trading platform is setting its sights on that goal as it faces intensifying competition from rivals such as Robinhood,Gemini and Kraken. All three have launched tokenized equity offerings to users outside of the U.S. within the past year, in addition to exploring prediction markets to varying extents.
Coinbase’s moves to expand the financial instruments available to its users also come as investor sentiment on digital assets cools. A series of liquidations of highly leveraged digital asset positions in mid-October triggered several pullbacks in the crypto market, prompting investors to rotate out of tokens and into gold and other safe-have assets.
Bitcoin fell as low as around $85,000 in early December, hitting its lowest level since last March. The token was last trading at $89,951, down 23% in the past three months. Coinbase has also fallen more than 16% over the past three months.
The deal also underscores U.S.-based prediction markets operator Kalshi’s push to embed its event contracts into various brokerages, widening its reach as the prediction markets space becomes increasingly competitive.
This year, Kalshi embedded several of its prediction markets into trading platform Robinhood, as part of a non-exclusive partnership between the companies. Kalshi has also engaged in talks with several other major brokerages, including those in the crypto industry, with the aim of closing more deals like the ones it has struck with Robinhood and now Coinbase, a source familiar with the matter told CNBC.