TrigID is the first and only Internet-based way to show that a real-world human is who they say they are. It enforces "one person, one identity" and you can verify that real-world identity with real-world identifiers like driver's license numbers, SSN's, addresses, phone numbers... All without giving anyone those identifiers.

We intend to develop MeconCash into a platform that allows user’s assets to be transferred and traded between different types of services by integrating point reward systems, contents purchase, and settlement, which are currently operated separately between existing services and those under development. To that end, we will build the reward and settlement system, develop the API to connect it with other services, and build an ecosystem that can be used in the on- and off-line real economy. All this will ensure the usability, connectivity, and sustainability of MeconCash. We will develop a variety of mobile-based applications, games, and contents on the platform and link it with such services as online marketplaces where users can purchase products. The reward system used by a service generally invalidates the rewards owned by users when the service is terminated. MeconCash, however, can transform the rewards obtained from using our services into valuable assets. As such, users will be able to fulfill the demand for new services with MeconCash even when the services they use are terminated, make transactions between them, and use the assets in the real economy. We will stabilize the MeconCash ecosystem by developing new blockchain-based businesses and linking it with external services which already exists. Additionally, MeconCash will be available in 70% of ATMs in Korea so that users can directly withdraw MeconCash to fiat money.

The aim of the project is to create an EscrowBlock platform for the Ethereum network blockchain. Such a platform can work as an independent environment, or be integrated into other Smart contracts, to provide escrow services as part of any other projects. The team will start the project on Mainnet Ethereum blockchain and then make a fork for providing an independent service.

The SISHUB project is developing an anonymous messenger and a decentralized system for sharing data through the utilization blockchain technologies. Does Not Log IP Address. Only complex identifiers and tunnels for data transfer will be used, which will change every 10 minutes. Absence of information collection, control over users and collection of geodata. SISHUB uses triple encryption of its own design, based on AES CBC, DSA, HMAC, when most use Curve25519, RSA 2048. All data is hashed using the SHA-2 protocol (64-bit architecture).

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.