A First ever Commodity - Crypto Exchange well designed by traders for traders. Digital Ticks Exchange (DTX) is just not another crypto to crypto exchange but is also a semi-algorithm platform provider in its own. DTX plans to cater to all types of crypto assets as well as commodity to crypto assets. DTX would be power packed by a lot of advanced features including all the basic features of an exchange required by a novice trader to a professional trader as well as for a high frequency trader. In terms of security DTX is taking extra precautionary measures to avoid any kind of hacks like DDoS attacks, phishing attempts and by also performing vulnerability assessments and penetration testing. DTX has installed robust technologies behind the scene that could handle heavy volatility of the crypto markets as well as commodity markets which can handle upto 1,000,000 orders per second. Digital Ticks Exchange team believes into robust technology, ahead of industry standards in terms of providing customer service to its stakeholders as well as traders. Digital Ticks Exchange team ensures all its traders to have a smooth and user friendly trading experience. Digital Ticks Exchange would not levy any transaction charges for first few months of inception thereby giving traders to trade on zero transaction charges. DTX would give volume-based incentive for high frequency trader (HFT) which would give them scope for retaining higher profitability in the trade.

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.

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.