- Project TypeToken
- Platform Ethereum
- Circulating Supply470,623,560
- Total Supply938,641,610
- Max SupplyNone specified
- Primary SectorMachine Learning & AI
- JurisdictionNone specified
Top manager with an impressive experience in large companies (Pinnacle Micro, Walletone.com, etc). He developed and implemented projects in the fields of e-wallets, gambling, KYC, as well as banking solutions in the United Kingdom, Spain, Italy and several African countries.
Seasoned professional in financial markets and emerging-market technologies with deep-level FinTech, InsurTech and Big Data ecosystem knowledge, including utilisation of leading-edge technologies. The focus for the last 2-years has become the inherent benefits in Blockchain technology and the nascent opportunities this presents for a decentralised global economy.
CCTV security expert with over 10 years experience in the industry. Was involved in biometrics and ID management projects while offering video surveillance solutions, access control, electronic article surveillance, intrusion detection and customer behaviour analysis. Being a General Manger at Fullhouse Company, has completed numerous security state level projects while exceeding expectations with high quality solutions and service delivery.
Questions and Answers
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Live token offeringsNo live token offerings
Upcoming token offeringsNo upcoming token offerings
Past token offerings
|Faceter Token Sale||15 Feb 2018||30 Mar 2018|
|Faceter||15 Feb 2018||30 Mar 2018|
- 8 of 27 Team Members Verified
- Company Verified
- KYC Interview Conducted
Detailed due diligence exclusive to subscribers
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 <- this project
E = Low