Due to the rise in generative models and AI in the last few years, more large-scale models are being trained on copyrighted and licensed data without adhering to proper copyright or license laws. This leaves the owner of the data hanging dry, while their data is being used and the companies get bombarded with a myriad of legal battles This is where our platform DataVerse comes in. Our goal is to provide a space where individuals can upload their data and consent to it being used as part of a large dataset for model training while getting compensated for it. At the same time, anyone training a model would essentially have access to a diverse repository of quality real-world data to choose from. How does this work? As a contributor, an individual would be able to upload their own data, say an image, with some required metadata. On uploading, the data is now part of the platform and the data is tokenized into an NFT which is held by the user. Now, if you are a researcher or a trainer, you can search for the kind of data you want and download them as your dataset in exchange for a fee in our native token to the provider. The moment the data is downloaded, the owners of the data are credited a certain number of tokens, thereby compensating them. This ensures a fair space where everyone wins and promotes transparency among big companies and the individuals with regards to how their data is used.