UVeye, a company specializing in AI-powered vehicle inspection, has won the “AI Mobility: Best Outcomes, Automotive/Transportation Manufacturing” category in Newsweek’s AI Impact Awards. The award recognizes UVeye’s drive-through inspection systems, which use computer vision and deep learning to analyze tires, undercarriages, and car exteriors in seconds.
What it does
UVeye’s system, often described as an “MRI for cars,” scans vehicles as they drive through a portal. It compares the captured images against a database of vehicular components — the company claims this is the world’s largest such database — to identify mechanical issues, structural flaws, and cosmetic defects. The system achieves 96% accuracy, compared to roughly 24% for manual checks.
Deployment scale
UVeye has installed over 1,000 systems globally across dealerships, fleet sites, auction lots, logistics hubs, and border crossings. The platform scans more than three million vehicles every month. Key clients include Amazon and General Motors. The company also has strategic initiatives in rental services and seaport inspections.
Measurable outcomes
According to UVeye, the system helps detect issues before they become roadside problems and prevents defective vehicles from reaching dealerships and end customers. This contributes to lower recall rates, improved quality ratings, and better quality survey outcomes. The company’s false-positive rate is 0.3%, while it catches 98% of concealed contraband and structural flaws.
Industry recognition
This award adds to a growing list of accolades for UVeye. The company was named to Fast Company’s World’s Most Innovative Companies of 2026 and TIME Magazine’s Best Inventions of 2024.
Bottom line
UVeye’s technology effectively turns factory-quality inspection into a drive-through service, and the Newsweek award signals regulators’ growing comfort with computer-vision systems that audit every bolt and weld in under 60 seconds. For dealerships, fleets, and manufacturers, the practical takeaway is clear: AI-driven inspection at this scale and accuracy is no longer experimental — it’s a deployable tool with measurable ROI.