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.

TalentChain, powered by Blockchain, bridges the prevalent trust deficit among students, universities, employees, recruiters and govt bodies, and serves as a single source of truth for all the stakeholders. It enables considerable and tangible cost reduction in qualifying learning and education admissions, recruitment and related statutory processes. Talentchain is a unique presentation of the knowledge asset that is securely verifiable and endorsable across various stakeholders.

By accepting to share their shopping data with the network, a shopper earns reward tokens, while the data is used by retailers to build redemption offers that best suit each customer’s needs. Shoppers can redeem their tokens through these exclusive and personalized offers.

ECTA (Efficient Collaboration Team Autonomous) is the first blockchain-based trust protocol for global employability of developers. The concept, empowered by the proven AI tools, aims to solve the inefficiencies related to the time loss, verification of online profiles, talents discovery (especially in the low-middle income countries) and safe way to conduct business (payment solution with the power of smart contracts). While working on ECTA platform, besides collecting their earnings in ECTA tokens (ERC20) developers are having a unique possibility to earn (mine) ECTA non-fungible tokens (ERC721) as a reward for every task completed - which serve as proof of their skills and increase their reputation. AI component of the platform helps companies worldwide discover and employ these developers in a safe and productive way for both sides.

SID (Share Internet Data) is a peer-to-multi-peer decentralized internet sharing system that allows sharing internet from one person's smartphone to another nearby in an automated manner. One of our key missions through the SID project : “To lift as many people as possible out of poverty by means of giving the less fortunate a way to access the Internet”. Certain users will be able to get free Internet access by obtaining tokens in exchange of consuming advertising. Such obtained tokens can then be used to consume internet megabytes from other nearby Users in exchange for tokens OR Users will simply trade some of their tokens directly with other SID Users. Those trades will be done simply through a secured blockchain, on a public exchange to ensure full transparency with the control of the tokens and the control of sharing internet or not fully decentralized, meaning solely under end-user’s control through their post ITO (Initial Token Offering) token Wallet inside the SID App.

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.