The Challenge
Vehicle knowledge exists, but users still need to know what they are looking for and where to find it.
Generic AI agents lack vehicle-specific knowledge and cannot reliably understand which physical component a user is referring to.
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Knowledge buried in manuals, apps, and menus
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Unfamiliar controls users cannot name
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Generic AI without vehicle-specific expertise
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Support disconnected from the physical vehicle
The Result
Complex vehicle features become easier to discover, understand, and use.
Drivers get help directly when they need it, without knowing technical terms or searching across manuals, apps, and support channels.
The same approach can make complex products easier to understand, operate, and maintain, from consumer electronics and home appliances to machinery and industrial equipment.
No searching. No technical terminology. Just point and ask.
Press and Media
IFA Berlin: Meta AI Glasses and CUPRA demonstrate the next generation of human-product interaction
https://www.ifa-berlin.com/de/pressemitteilungen/ifa2026-meta-cupra
Volkswagen Group: CUPRA Raval demonstrates how AI Glasses can transform the vehicle experience
MOTORMOBILES: How CUPRA and Meta virtually translate vehicle controls