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.

The advent of cryptocurrencies and the tokenized economy makes it possible to re-imagine the entire value chain of consumer, products, and producers from a referral perspective. We present Plentix, a tokenized platform that enables users to refer other users to a business entity and enables business entities to leverage existing APIs for industry specific referrals and allows for safe, secure, trustless value exchange to take place. Unlike other referral platforms, Plentix unleashes the potential of a new global ecosystem to monetize referrals for every stakeholder, from the producer to the consumer.

Verifier is an innovative technology designed to verify identity, events, deals, and any other kind of data. This is a blockchain based solution that verifies data quickly, accurately, trustworthy, and securely.

Sponsy is disrupting the sponsorship industry. It is a one-stop online solution for sponsors and sponsees to conduct sponsorship deals. By tokenizing sponsorship assets and decentralizing decision-making, we do not only reduce costs, but also provide sponsees with a wider choice of sponsorship opportunities and make sponsorships available to every business.

Emrify is launching a decentralized Personal Health Record platform on top of the Ethereum public blockchain to deliver trusted health information to the right hands at the right time anywhere in the world. With years of building consumer engagement mobile apps, Emrify is laser focused on collecting and locking up data for each person for complete ownership and control to freely share their data. Our top priority is to create attractive cryptoeconomics models to incentivize health data sharing for all parties. With strategic US partnerships with hospitals and doctors, Emrify is building on top of established prototypes to accelerate the launch of production interfaces to firmly establish the Utility Token in healthcare.

Aimedis is an AI backed, blockchain and smart contract supported medical ecosystem, that changes the way patients, doctors, and hospitals communicate, connect and handle information. Using the Aimedis platform, users can store, secure and share their medical information only with the people they want to share it with by using the Aimedis right management system. Beside the records, AImedis offers videochat and communication with other patients and doctors, online prescriptions, online appointments, learning content, the inclusion of fitness trackers and devices like ECG or bloodpressure monitors into the system, while all transactions inside the system are backed by our porprietary private AIMChain blockchain, while the token is bound to a public blockchain (Aimedis dual-blockchain model). AIMSocial will be the new incentivised and decentralized medical social network where patients can help other patients and get rewarded for it, while the system is supported by AI.