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 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.

The Svandis ecosystem is driven by a community of users and researchers using powerful Svandis tools, analytics, and indicators for professional traders in need of real-time, actionable data and analyses. The Svandis community drives the rapid collection of verifiable data and information through a tokenized incentive system. The platform within the ecosystem provides leading financial research, analytical and visualisation tools for anyone actively involved in the space: short-term and swing traders, traditional holders, analysts, hedge funds, institutional investors, trading firms, and token sale contributors.

DenCity is an AI and Blockchain powered platform that provides you an engaging and immersive VR experience and lets you make a world of your own. A user will not only be able to explore, learn and create a life of his/her choice in accordance with the real world rules but also earn tokens that can be used to buy real life goods and services in the real world.

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.

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.