Context blockchain mars network project
<MARS Network is a blockchain-based business platform consisting of core patent-based technologies such as Context Blockchain, Digital Contents Original System (DCOS), Multi-modal and Big data Artificial Intelligence technology, Decentralized Identity (DID) for non-face-to-face identification. On the MARS Business Platform, various services close to real life (life, finance, law, real estate, education, etc.) are launched one by one, and collaboration with existing services takes place.
MARS Network is divided into Technology and Business
Context Blockchain, Digital Contents Original System(DCOS), Multi-modal, Bigdata & AI, Decentralized Identifier(DID)
Living Services, Financial Services, Real Estate Services, Legal Services, Educational Services
It is a next-generation context block chain that goes beyond the limitations of smart contracts of 2nd-generation blockchains such as Ethereum and EOS, which only record existing point-in-time information(Time Stamp), and also records environment information at the time of transaction to increase transaction reliability. Environmental information means information such as 5W1H (When, Where, Who, What, Why, How) required in real life transactions. With this, by securing the reliability and transparency of the transaction, it is possible to lay the foundation for using the block chain in real life.
We provide services for payment of cards, points, and coins at more than 300,000 affiliated stores such as department stores, marts, convenience stores, gas stations, cafe, and movie theaters. Furthermore, it is planning to add various living services such as delivery service and internet shopping mall.
We develop and build an intelligent legal information retrieval service system based on big data. By providing a cloud-based legal service ecosystem system and service for users, it is possible to provide expert legal knowledge and litigation law to legal professionals, and to provide legal common sense in life to ordinary users. The goal is to popularize difficult existing legal services. Artificial intelligence legal technology is to introduce rapidly growing artificial intelligence into the legal market to help judges, prosecutors, and lawyers to provide more accurate and faster legal services. The pre-established data includes a total of 1.14 million data including current statutes, Supreme Court precedents, Constitutional Decisions, statute interpretations, and administrative judgments.
Real estate auctions, NPL services will secure information on high quality real estate, auction of movable property, and public sale from courts, financial institutions and government agencies ,one step faster. It will also implement an artificial intelligence model based on big data, analysis, and application of big data on environment information such as transportation, schools, hazardous facilities, and real estate policies, as well as open data from each real estate-related government ,agency(Standard land price information, apartment price information, real estate intellectual information, real estate statistics information, etc.) and various real estate data on the Internet. With this, we intend to establish a value evaluation platform that enhances the objectivity of investment with accurate evaluation and prediction of real estate to provide valuable information not only to national institutions but also to major ministries, research institutes, general enterprises and individuals. Based on real estate and domestic big data analysis technology started in Korea, we plan to expand its business to countries such as Vietnam and Indonesia that have not established real estate and auctions.
We provide EHMP(education history management platform) service based on the patented technology of DCOS, the digital original identification system. It is a service that records, analyzes, and manages educational histories and outputs that occur in all stages of life, from infants to adults, to authenticate educational histories and to manage and settle copyrights for individuals. In the future, it is possible to expand the service area to copyright management services. Human resources are managed based on actual algorithm ownership rather than resume-based , and companies, research institutes, governments, etc. can be linked to actual ability-based owners.