Artificial Solutions and RückerLypsa Combine to Build Conversational AI for the Automotive Sector

Enterprise-grade conversational AI developer Artificial Solutions has teamed up with RückerLypsa to deliver the power of conversational AI to the automotive sector. Part of the EDAG group, RückerLypsa is one of the largest autonomous engineering companies in the globe that successfully provides a plethora of services and products to the automotive sector. As a part of its innovation, the company has a dedicated business unit that builds conversational AI between the car and the driver.

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“Intelligent conversational applications offer car manufacturers a way to forge a closer relationship with their customers, both in and out of the car,” says Michele d’Alessandro, CTO of RückerLypsa. “Working with Artificial Solutions enables us to take a flexible approach to design conversational AI systems that will work across any platform, language or device and allow car manufacturers to differentiate themselves by providing the ultimate driving experience.”

On the other hand, Artificial Solutions sources the platform required to build conversational AI. Already in use by various companies, this award-winning platform can build conversational AI in 35 languages and for a variety of channels. The company’s flagship product, the Teneo platform, has an enormous capacity to analyze and leverage a vast amount of data which results in a better insight on customer thought, in-turn helping in building best-in-breed conversational AI.

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“We’re delighted to be working with RückerLypsa,” says Andy Peart, CMSO of Artificial Solutions. “Conversational AI opens up new opportunities for the automotive market by allowing manufacturers to take the customer experience beyond the inside of the car while continuing to deliver insight and trends that transform the bottom line long after the car has been sold.”

The collaboration will prove fruitful for both the companies, as Artificial Solutions get access to a large number of RückerLypsa’s client. The later will benefit too — it can build an advanced conversational AI that will see larger adoption considering the growing trend of the autonomous vehicle.

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