Endor.coin is reinventing predictive analytics by democratizing access to Artificial Intelligence data analysis, making it accessible, trustless, censorship-resistance and useful for all. This is achieved through the Endor.coin Protocol, offering the world’s first automated, self-served, predictive platform that allows business users and unprofessional crypto-token holders alike to ask complex predictive questions and obtain high-quality results in minutes. This aims to democratize the field of Data Science, that today is reserved mostly for Fortune500 companies. Endor.coin is based on the novel science of Social Physics developed at MIT by the project’s team members Prof. Alex Pentland and Dr. Yaniv Altshuler
Consensus is the open-sourced, decentralized artificial intelligence platform, powered by native cryptocurrency, and built with the vision to improve the governance mechanisms at all levels of organizational structures: community, startup, non-profit, enterprise, city, county or the entire country. Once fully realized, Consensus AI will be able to offer automated, data-driven solutions to the most complex problems of our collective co-existence by modelling the potential outcomes of proposed changes. Consensus will help govern communities, societies and countries in a more cost efficient, transparent and progressive manner. This will be implemented via collective voting, initiatives proposal and funding, execution reporting and intelligent algorithms that will perform project analysis and model the outcomes with the efficiency, budgetary concerns, social, environmental and other factors under consideration. Mission The mission of Consensus is to achieve collective governance based on interdependence using advanced technologies. Abstract There are three main components to the Consensus system: the Sentient blockchain network built with verified nodes that allows running distributed machine learning, the Research Platform with extended data collection and modelling capabilities and the AI Advisor — a standalone system constantly monitoring and learning from the incoming available data that is used to make predictions. Later stages of development will include internally and externally built Dapps for various governance applications.