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Nexar, Vay partner on predictive AI for remote driving

Nexar, Vay partner on predictive AI for remote driving

Nexar and Vay will integrate predictive AI safety technology into Vay’s remotely driven vehicle fleet

Nexar and Vay have announced a partnership to integrate Nexar’s BADAS predictive AI safety model into Vay’s remotely driven vehicle fleet. The collaboration will see the incident prediction system embedded into Vay’s remote driving operations, which the companies say marks the first deployment of such technology for vehicles operated by remote drivers on public roads.

Vay operates a remotely driven car rental service in Las Vegas, where vehicles are delivered and parked by trained remote drivers located at a dedicated control centre. Nexar’s BADAS model is trained on data from the company’s distributed vision network, which records more than 100 million miles of road data monthly across US roads.

“Remote driving puts humans and machines into a shared control loop, and safety has to work at that same level,” Zach Greenberger, Chief Executive Officer of Nexar, said. “BADAS was built to understand how real people actually drive—not how simulations behave.”

Thomas von der Ohe, Chief Executive Officer and Co-Founder of Vay, said: “As we scale our service, we need safety systems that are proactive, not just reactive. Integrating Nexar’s BADAS model into our system equips our remote drivers with advanced, augmented capabilities, enabling them to better anticipate risk.”

Vay has operated its Las Vegas service since January 2024, allowing customers to request electric vehicles delivered remotely to their location.

Source: Vay

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