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VLB Token VLB

VLB Token has a TrustScore of E
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VLB Tokens streamline the $1.8 trillion vehicle lifecycle industry. Vehicle Lifecycle Blockchain creates cost saving & operations optimization for auto industry players. Value of these opportunities exceeds VLB Tokens value at ICO by multiple orders
  • Project TypeToken
  • Platform Ethereum
  • SymbolVLB
  • Circulating SupplyNone specified
  • Total SupplyNone specified
  • Max Supply175,000,000
  • Primary SectorTransport
  • JurisdictionEstonia
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Team

Oskar Hartman photo

Oskar Hartman

Co-founder and President

Oskar has extensive experience in business startups. He has started a number of company including, but not limited to: KupiVIP, CarPrice, Lesara, and Similie Venture Partners. Along with this practical business knowledge, he has a degree from WHU (Berlin, Germany), and an MBA from University
of Hawaii. His real world knowledge and experience will prove valuable as he leads CarFix to success in the future.

Vladimir Lupenko photo

Vladimir Lupenko

Co-founder

Vladimir has worked with Oskar in the past on such projects as Aktivo and CarPrice, which is a real estate crowd funding platform. He was educated
at the Plekhanov Academy of Finance, and at the Vienna University of Economics and Business Administration. He previously worked for the prestigious KPGM, which is a professional auditing company.

Paul Nazarov photo

Paul Nazarov

Co-founder

Paul has a degree from the Stern School of Business at New York University. He has held a number of corporate positions with companies
such as Macquarie group and NRG Capital. Paul has an excellent background in successful business and brings a lot of experience to the team of CarFix

Distribution

None specified

Milestones

None specified

Questions and Answers

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VLB Token has a TrustScore of E
  • Team Members Verified Badge 8 of 27 Team Members Verified
  • Company Verified Company Verified
  • KYC Interview Conducted KYC Interview Conducted
93%
Profile Quality
TrustScore™ is a Token Project scoring algorithm immune to manipulation.

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
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