Every so often, you come across a company and the founder side of your brain lights up before the car guy side does. That's what happened to me with UVeye. I've built technology companies, I've evaluated hundreds of businesses from the capital side, and I've spent my retail career watching dealership tech overpromise and underdeliver. UVeye is the rare one where the deeper I dug, the more excited I got.

UVeye calls itself "the MRI for cars," and for once the tagline undersells it. The system is a set of drive-through scanning stations: a vehicle rolls over and through them at normal speed, and in seconds the AI produces a full condition report covering the exterior, the underbody, and the tires. High-resolution cameras and sensors capture everything, and the models flag what matters: tire wear and alignment issues, dents, scratches, leaks, rust, underbody damage, things no human eye catches on a walkaround, and certainly not consistently on the 40th car of the day.

The company was founded in 2016 by the Hever brothers out of Israel, originally for security screening at checkpoints, before they realized the commercial opportunity in mobility was far bigger. That origin story matters: this is hardened, purpose-built inspection tech, not a phone app with a filter.

Look at who wrote the checks. UVeye has raised roughly $400 million, and the cap table reads like the industry inspecting itself: GM Ventures, Toyota's growth fund Woven Capital, CarMax, Volvo Group, Hyundai, and insurance giant W.R. Berkley. When the largest OEMs, the largest used car retailer in America, and an insurer all invest in the same inspection company, they're not making a bet, they're standardizing a tool they intend to use. The company reports over 1,000 systems deployed worldwide, approaching a million vehicle scans a month, roughly $100 million in revenue, and certified partner programs with GM, Toyota, BMW, and Subaru. Amazon runs it across its delivery fleet. JLR runs it at ports.

From a business evaluation standpoint, that's the pattern you look for: proprietary hardware plus AI trained on millions of real scans, distribution through OEM programs, and customers on every side of the vehicle lifecycle. The moat gets deeper with every car that drives through.

Here's where my retail brain takes over, because the results coming out of real rooftops are the kind of numbers that make a dealer principal put the coffee down.

Service lane. Every car that pulls into the drive gets a complete, objective inspection before the advisor says hello. Toyota of Princeton reported a 15% service work increase within three months and $100K in alignment repairs in 90 days, with 54% of scanned vehicles flagged for tire replacement. Mercedes-Benz Manhattan doubled tire sales and grew alignment sales 46%. Tom Wood Lexus attributes a 12% rise in total service revenue and over 200 hours a month saved at check-in. None of that is magic. It's simply that the scanner finds what walkarounds miss, and the customer sees the evidence.

The trust problem, solved with pixels. This is the part I care about most, because I've lived the service drive. Customers don't decline tires because they can't afford tires. They decline because they don't believe the advisor. UVeye hands the customer a high-resolution image of their own worn tire or leaking component. One BMW store put it perfectly: people trust technology, and when they see the images, they believe it more than someone telling them. That same store reported a 100% reduction in arguments over damage. That's not an upsell tool, that's a CSI tool.

Policy claims and loaners. Every dealer eats damage claims because it's not worth the argument. Time-stamped scans on arrival end the debate. Frank Kent Cadillac reported policy claims down 98%. Stores scan loaners out and in, which protects the house and makes customers more careful. Carl Black Chevrolet in Orlando put it well: it's not about catching customers, it's about documenting reality.

Used cars and appraisals. Patriot Subaru scans 100% of trade-ins and saves over an hour per appraisal, avoiding reconditioning surprises that quietly kill used car gross. Habberstad BMW pegs appraisal savings at $1,500 per vehicle. And UVeye's newer "Scan to Sold" workflow turns the same scan into same-day merchandising: condition report, imagery, and listing, before the ink dries on the trade.

Integrations. It connects to the systems dealers already run, Reynolds among them, and the January 2026 integration with Numa connects detection directly to customer conversion, so a flagged issue becomes a scheduled RO instead of a note nobody follows up on.

Zoom out and UVeye isn't really an inspection company. It's building the condition layer for the entire vehicle lifecycle: factory line, port, auction lane, rental return, service drive, trade-in. Once every touchpoint scans the same way, vehicle condition becomes objective, portable data instead of one person's opinion with a flashlight. Think about what that does to auction arbitration, to CPO certification, to lender confidence on used inventory, to warranty claims. The applications genuinely are limitless, and I have a few ideas of my own brewing on where this data layer goes next. That's a future issue.

For now, the takeaway for operators is simple. This is not futurism. Over a thousand of these are already running, some at stores that compete with yours, and the numbers they're posting in fixed ops and used cars are the two profit centers keeping dealerships alive in a compressed-margin era. When the technology, the capital, and the results all point the same direction, the only real question is who in your market installs it first.

Need help getting started? I offer consulting for stores that want to put this into practice, from evaluating tools like this to building the process around them. Message us on LinkedIn: Rooftop Insider

Kamil Grzych works at the intersection of automotive retail, technology, and AI. His background spans dealership sales, BDC operations, digital retail, and technology implementation across Toyota, CDJR, and Lexus stores, along with building technology startups, one exit, and more than five years evaluating businesses in a family office. He is the founder of Rooftop Insider.

Rooftop Insider covers how dealership operators actually use technology and AI across every department of the store, written from the showroom side, not the vendor side. Forwarded this? Subscribe to get every issue.

Sources: UVeye company materials and published dealer case studies (Toyota of Princeton, Tom Wood Lexus, Patriot Subaru, Mercedes-Benz Manhattan, Habberstad BMW, Frank Kent Cadillac, Carl Black Chevrolet); funding data via CB Insights and PitchBook. Rooftop Insider has no commercial relationship with UVeye.