- Project TypeBlockchain
- Circulating SupplyNone specified
- Total SupplyNone specified
- Max Supply1,000,000,000
- Primary SectorTrading & Investing
- JurisdictionNone specified
Bevis Smith possesses work experience in several companies of Fortune Global 500. He once worked as an artificial intelligence scientist, former head of Amazon’s retail field manager and the well-known angel investor in the Asia-Pacific Region whose project success rate is as high as 100%.
Based on the development of EtherEx, Emmanuel believes that it is in urgent need to develop a high performance decentralized switching protocol and an insight to serve as the foundation for international defense exhibition. Emmanuel serves as the director of block chain Internet lab in national big data comprehensive experiment zone under the engineering background and guidance.
As a passionate bachelor of mathematics and a master of computer, Antoine is familiar with development of block chain technology and skilled at coding and programming (Java, C, c++, c#, J2EE, SOA, XML and J2EE). He is also an amateur of encryption/decoding/technology and served as an experienced development engineer at Vobile.
Nathalie served as the chief online officer Australia Stock Exchange, Cryptoasset researcher, investor and ICO consultant.
Jeffrey spent more than ten years to promote economic growth and consciousness for Fortune 500 enterprises and science and technology venture companies. He attaches importance to practical methods, which has helped him to win awards of several industries, including BMA Gold Key Award of 2015. As a passionate person who started to apply encryption at an early stage, he maximizes the range and success of aurora with his abundant marketing skills.
Graduated from Yale University as a Bachelor of Economics, Clark had work experience in several international well-known companies. He is also a real Chinese fan who is familiar with the Asia-Pacific business. He knows the financial circle of Japan, Hong Kong and mainland China very well and keeps a good relational with the key financial institutions.
Questions and Answers
- 8 of 27 Team Members Verified
- Company Verified
- KYC Interview Conducted
Our proprietary TrustScore algorithm uses artificial intelligence machinery and combines dozens of data points including ID verification of every team member, company verification data, video interview with the project directors and dozens of additional data points offered by the projects such as social media profiles, white paper, questions and answers and many more to calculate the TrustScore.
A = Excellent
B = Good
C = Average
D = Below Average
E = Low