Augmented and virtual reality were waiting for two things: hardware light enough to wear all day and software smart enough to understand the physical world. AI is delivering the second, and this category collects the companies building it — spatial mapping engines, AI-powered smart glasses, generative 3D and video tools, and the models that let devices reason about real environments.
The users are diverse: game studios and consumer app developers, industrial teams overlaying instructions onto equipment, and everyday wearers of AI glasses. Niantic Labs ($770M raised) proved consumer AR at planetary scale with its real-world games, and its spinout Niantic Spatial ($250M) is now turning that mapping expertise into real-world foundation models for physical AI. On the hardware frontier, XPANCEO ($290M) is developing a multifunctional AI smart contact lens, while Even Realities and Brilliant Labs ship lightweight AI glasses today. Content creation is the other half of the story: Luma AI ($954M) builds some of the most realistic generative video and 3D models available.
Leaders in this space own either unique spatial data or a defensible hardware wedge — pure software layers built on someone else's platform are more exposed. Battery life, display quality, and on-device inference remain the practical constraints that separate shipping products from demos.
Buyers and developers should weigh platform lock-in (closed headset ecosystems versus open glasses), whether processing happens on-device or in the cloud, and privacy handling for always-on cameras and location data. NeuronFeed tracks 8 companies in this category with a combined $2.3B in funding.