Nexar, an AI-powered mobility solutions provider, has partnered with Vay, the world's first commercial remotely driven car rental service, to integrate predictive safety technology into Vay's fleet. The partnership will embed Nexar's BADAS incident prediction model into Vay's remote driving platform in Las Vegas. BADAS uses AI trained on billions of miles of real-world driving data from Nexar's distributed vision network, which captures over 100 million miles monthly across US roads. The system aims to identify risks before incidents occur, supporting Remote Drivers operating vehicles from Vay's control centre. Vay, founded in 2018, has raised over $200 million from investors including Kinnevik, Coatue and Atomico. The company delivers electric vehicles remotely to customers who then drive themselves before returning control to remote operators.

Vay, a Berlin-based startup, is building a "driverless car" rental service that fully embraces remote driving—a technology most robotaxi companies avoid to maintain their autonomous credentials. Founded by two engineers and a former Zoox employee, Vay delivers cars without humans inside using remote operators. Customers then drive themselves before returning the vehicle remotely. The company operates a fleet of 100 Kia Niros in Las Vegas, with remote drivers controlling deliveries from office stations at speeds under 25 mph. CEO Thomas von der Ohe said the service costs roughly 50% less than Uber, charging $0.35 per minute whilst driving. One remote operator can manage 10 vehicles sequentially. The startup has raised over $200 million and completed 35,000 trips. Whilst autonomous features may be added gradually, von der Ohe said competing with robotaxis isn't the goal.