Raven Protocol is a decentralized and distributed deep-learning training protocol. Current systems for training are centralized and expensive. Raven aims to provide cost-efficient and faster training of deep neural networks. Raven does this by crowdsourcing computing power using Data and Model Parallelisation distribution approaches. The protocol also ensures security and anonymity whilst distributing the training across multiple devices over the Internet by utilizing blockchain. Additionally, the Raven ecosystem provides revenue opportunities for the contributors and partners where users will be able to rent their computing power from any device of their choosing (pc, laptop, phones, tablets, etc.) and get compensated for the same with Raven tokens. Also, it will be used on the marketplace/platform to utilize additional services on top of the distributed AI training. Acquiring datasets, annotating data, using someone else’s trained model, running an algorithm developed by the community, etc., can be accomplished by using RAVEN tokens.