Machine Learning Blockchain PlatformGNY introduces machine learning to pre-existing blockchains, offering smart APIs that bridge to Ethereum, to Asch, to Lisk and any developer working with our universal system. With GNY Centre, GNY brings its own dedicated blockchain that can host side chains, offering a powerful set of tools to launch and host your own project from conception to implementation in the most developer friendly environment built around artificial intelligence. Launching as an ERC20 Token.
- Project TypeToken
- Platform Ethereum
- Circulating Supply192,376,657
- Total SupplyNone specified
- Max Supply400,000,000
- Primary SectorData Analytics
- JurisdictionNone specified
Richard has made a reputation for contributions on multiple open source blockchain projects within the cryptocurrency space. He is a specialist
at team building to tackle back-end coding for crypto exchanges, masternode sharing, governance control solutions and network maintenance. He has a passion to bring blockchain accessibility to legacy businesses and focus towards the tech solutions that
this technology can bring. Richard has been involved in projects for crypto exchanges, Asch and Lisk. ----- https://t.me/GNYioBlockchain our telegram group contact. Our medium blog: https://medium.com/@GNY.IO. We have produced videos on our team members for transparency. Our offices are located in Jersey, Channel Islands.
Cosmas is a New York City based tech investor and entrepreneur who has been building companies for more than 20 years.
He has his roots as a corporate finance and private equity lawyer and has worked with large and small companies around the world. He has a broad background in corporate structures, business strategy and implementation, intellectual property and investments. Cosmas has a keen interest
in innovative data driven solutions for businesses, in particular, artificial intelligence and the blockchain. Cosmas is the founder of Grey Jean Technologies; the genesis of the GNY platform, and also of other technology companies with successful exits.
Tom is an experienced technology leader and data scientist with a PhD in Computer Science who enjoys architecting and building cutting edge interactive tech including Artificial Intelligence, Machine Learning, Big Data, mobile, web applications and ecommerce systems. He is an expert
Zach is an experienced social entrepreneur with 10+ years’ experience in strategic planning, fund-raising, partnerships, and media campaigns to grow great ideas into transformational products. He excels at finding creative solutions for business development challenges that deliver results, and provide value for all partners. Zach has a passion for communicating and translating complex scientific, and technical information into content that engages other brands, customers, and donors. In 2011, Zach founded the Abzyme Research Foundation as a non-profit organization to advance the creation of an effective and low cost therapeutic HIV vaccine and potential cure for AIDS.
Leo Peili Liang
Questions and Answers
Where to Buy and Trade GNYThese are the crypto exchanges where you can buy, sell and trade GNY, 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
|GNY ICO||03 Sep 2018||01 Nov 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