UVeye develops automated vehicle inspection systems that combine proprietary hardware with AI-driven computer vision software. Founded in 2016, the company's systems perform full vehicle scans in seconds, detecting external damage, mechanical issues, and safety threats across all surfaces - above, below, and around the vehicle. The hardware/software integration is tightly coupled: purpose-built sensor arrays capture high-resolution imagery that proprietary algorithms process in real time to flag anomalies without human intervention.
The company has deployed systems at more than 400 locations worldwide, serving industry verticals including OEMs, dealerships, fleet management, logistics hubs, rental companies, and vehicle auctions. This breadth of deployment across varied environments - outdoor lots, service bays, production lines - means the perception pipeline must handle inconsistent lighting, diverse vehicle types, and real-world occlusion, among other practical constraints. The systems are used at scale in manufacturing QA, warranty assessment, and retail inspection workflows.
UVeye has raised over $380M in funding and was named to TIME's list of Top 200 Inventions of 2024. Robotics engineering work at the company spans the full stack - from sensor hardware and embedded systems through computer vision model development and deployment, with opportunities to work on problems at the intersection of physical system design and learned perception models operating under production constraints.