Market Opportunities

Most previous MR applications are Fragmented & Temporary UX, Inaccurate, Offline & Single-player, which have very poor experiences, and are not able to form large-scale user interaction. Therefore, MR spatial scene as infrastructure is highly required.

Google, Meta and other companies are heavily investing in global MR infra, but they are all Web2-centered platforms with expensive commercial fees, small applicable scenarios, complex acquisition and reconstruction processes, limited real-time update capabilities, and most of their scenes are not compatible with multiple scenarios requiring MR.

DeMR solves the above problems with a decentralized network and automated AI reconstruction pipeline, which can collect and reconstruct data at lower cost with higher efficiency, and provide open spatial interaction services for massive MR applications. The ownership and revenue of the data are shared by contributors, and the revenue will be continuously obtained in subsequent applications according to the evaluation of contribution volume.