genEOS token genEOS
Blockchain 4.0 for enterprisegenEOS is a next-gen technology project aimed at addressing blockchain adoption obstacles faced by the business community. Providing its participants with an operating system-like environment, it allows for building and running decentralized applications (Dapps) at enterprise scalability, interoperability, and performance. Unconsumed bandwidth can be delegated to others who will pay the rent.
- Project TypeBlockchain
- Circulating SupplyNone specified
- Total SupplyNone specified
- Max Supply1,000,000,000
- Primary SectorInfrastructure
- JurisdictionUnited States
After beginning a career as a software engineer with a Master’s degree in computer science under his belt, Ivan recognized the enormous potential of blockchain technology and became one of its earliest adopters in 2014. He has been at the forefront of blockchain development ever since. He has taken a pivotal role in many successful projects, including the launch of a BitShares-powered decentralized exchange.
After gaining a degree in applied cryptography, Dmitry started his career as a software developer. He participated in the development of today’s best-in-class security solution for businesses. Dmitry’s strong belief in the security advantages of blockchain technology, his technical and programming skills let him participate in multiple blockchain projects, including those based on EOS.
|Secured Token Offering||900,000,000 genEOS||90.00%|
|NextGenOne llc||100,000,000 genEOS||10.00%|
|Q2 2018||Release of the testnet|
|Q3 2018||Release of the official wallet. Release of the official genEOS toolkit|
|Q4 2018||Launching of the genEOS developer portal (DevPortal). Launching of the game development portal. Official release of the fully operational DEX smart contract|
|Q1 2019||Release of the genEOS blockchain production network. Release of the first set of smart contracts|
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