SMPP

All Public Art (APA) provides a unique platform that contributes to the growth and sustainability of the global art community by supporting the art market, igniting artist-to-collector trading, and storing the provenance of art on the blockchain. With the AllPublicArt token and the creation of our API, we are deploying a new, convenient and effective way to trade art and track the history of artworks. All Public Art's implementation of blockchain technology will minimize counterfeit art, build trust within the art market, improve art trade services and increase economic and social benefits in the global art community. Thanks to blockchain technology, transparency is increased ensuring a more convenient and legitimate marketplace for trading art.

Mind AI is an artificial intelligence engine that is capable of human-like abstract reasoning without the need for big data or supercomputers. With its ability to contextualize information and reason, Mind AI is able to generalize knowledge, a feat that no other AI today is capable of. By being able to learn on its own, Mind AI will be able to formulate its own hypotheses and models of how things work, augmenting human intelligence.

Review.Network is a project that aims to create a unique trusted high-intelligence user-company feedback platform based on blockchain and AI technologies. Review.Network provides direct communication between companies and customers, that helps carry on efficient top-tier market research feedback without any mediator. Our model also directly rewards participants for their valuable feedback. The platform's community can gain coins by producing content and working with quality reviews on the Review.Network platform. With the smart recommendation system implemented, it is easier for members to find the best goods and services with ease. The REW is the digital currency of the Review.Network platform. Companies purchase coins to conduct market research on the platform and reward users in exchange for the feedback they leave.

Take control of your personal data. Your data is used virtually every second you are online, to target you with ads. Data Choice will allow you to take control of what you share, what you keep private, control of the ads you see, and reward you for your data being used.

Expected to kick off in 2018, the Fan-Controlled Football League (FCFL) reimagines American football – and the experience of being a die-hard fan – for the digital age. The FCFL will seek to deliver a compelling football product that captivates a broader digital audience. It will feature fast-paced, high-scoring action that embraces the spread-football evolution of the NCAA football and NFL games while enabling a diverse set of styles and strategies on both offense and defense ─ all controlled by the fans. Player personnel and real-time play calling decisions are all made by fans via the league’s blockchain platform, making fans the coach and general manager for their team. Fans will no longer be just viewers; rather, they will be active contributors to the games they are watching. This is a transformational shift in the way sports fans engage and interact: no more sitting back and passively watching as a team’s roster takes shape or a game unfolds. They will be essential to the league’s product both on the field and off. This is the democratization of sports, and it’s about to be realized through the most innovative sports league ever created, thanks to decentralized blockchain technology.

GoRecruit is an AI recruitment system based on blockchain technology, which offers a new way of evaluating job applicants. The AI system, being a convenient online service, enables making HR decisions based on the analysis of data from social networks and publicly available sources. To select applicants for an interview, one does not need to spend several hours for processing and analyzing the data: one will acquire the detailed information with recommendations immediately after the authorization of a candidate in the GoRecruit system. This approach will make access to vacancies more open, eliminate human error in hiring, as well as reduce the cost of HR service by optimizing routine work.