- Project TypeBlockchain
- Circulating SupplyNone specified
- Total SupplyNone specified
- Max Supply100,000,000
- Primary SectorSupply & Logistics
- JurisdictionNone specified
15+ years in international relations and logistics with many Fortune 500 companies. Danny is one of founding team members, and his passion and drive for business has led to his success as a serial entrepreneur. many Fortune 500 companies. He has personally orchestrated and facilitated tens of millions of dollars in global transactions with many Fortune 500 companies such as Magna, Aecon, General Electric, General Motors, Linamar, Commercial Spring and more.
A highly experienced senior developer with over 15+ years of experience, Noam Eppel is one of our founding team members with a specialty in web development and information security. Noam has worked for large web agencies in Toronto, New York, Texas and California, and founded a busy web agency with clients around the world. Noam has worked with and consulted for IBM, Massachusetts Institute of Technology, National Bank Financial, Bank of Montreal, Mount Sinai Hospital and many more financial corporations, e-commerce companies, law firms, hotels, startups, hospitals, independent artists and non-profit organizations.
Legendary bitcoin pioneer.
|Public Token Sale||52,000,000 MORPH||52.00%|
|Strategic Partners||3,350,000 MORPH||3.35%|
Questions and Answers
Where to Buy and Trade MORPHThese are the crypto exchanges where you can buy, sell and trade MORPH, ordered by exchange popularity. You should try the ones on the top first, but also look out for the "Recommended" badge as those are reliable exchanges that we have partnered with and are comfortable recommending them to our users.
1. Live token offeringsNo live token offerings
2. Upcoming token offeringsNo upcoming token offerings
3. Past token offerings
|Morpheus.Network Token Sale||22 Mar 2018||22 Apr 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 <- this project
D = Below Average
E = Low