At the intersection of Mixed Reality and AI

Mixed Reality AI is where we focus on the intersection of Mixed Reality (MR) and Artificial Intelligence (AI). One of the most interesting use cases are three dimensional AI Assistants, powered by Large Language Models (LLMs), rendered in AR, VR or MR. The ability to have a natural conversation with a being in 3D right in front of you, propels the exchange to a more natural and personal level. And by combining a custom knowledge base with an individual design and appearance of the character, it allows the transfer of specific information to a targeted audience effectively.

Example: AI assistant in Mixed Reality answering questions on an upcoming event

The versatile AI assistant in AR, MR or VR

A 3D character designed to simulate a face-to-face conversation can be very engaging and powerful. Its visual presence, resembling a human being or special character enables countless of use cases in augmented, mixed and virtual reality environments. Connected with AI, powered by OpenAI’s GPT and some custom assets, a vast amount of knowledge can be provided, just by speaking naturally with the 3D human.

Example: Augmented Reality AI assistant for the tourism industry

Mixed Reality AI Tour Guides

A Mixed Reality AI assistant can serve as a virtual guide, offering personalized tour information and recommendations based on a traveler’s interests. It can enhance visitor experiences at historical sites or museums by providing interactive narratives and cultural insights, making the exploration more engaging and informative. Additionally, it can assist tourists in navigating foreign locations, offering multilingual support and real-time assistance with directions, local customs, and essential travel tips.

Mixed Reality AI assistant
Example: AI Tour Guide in Augmented Reality

Virtual Reality AI Assistant

A virtual assistant can be an effective interface for answering frequently asked questions, providing instant, 24/7 responses to common inquiries, which enhances customer service efficiency and accessibility. By using natural language processing, the virtual assistant can understand and interpret a wide range of questions, offering accurate and contextually relevant answers, thereby improving user experience and satisfaction.