Generating avatars for digital worlds is often a difficult or constrained process (e.g. only ear-to-ear data with FaceID) and capturing 3D data for other content - environmental objects, products, or rooms - with any sort of accuracy and repeatability is difficult if only using ARKit or its equivalents.
Standard Cyborg offers decentralized scanning and easy-to-implement ML training & modeling (classification & segmentation) solutions. Now, anyone can capture scan data and have it automatically understood and labeled. Then, convert those scans to your desired file format and use in any VR or AR environment. Or, if you want, attach pre-rendered models to the newly labeled keypoints for real-time, AR virtual try-on.