DatEat is a blockchain-based dating platform with an integrated AI engine.
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What is DatEat
DatEat has a built-in facial/voice recogniction algorithm for ID verification. The platform has a loyalty system and rewards active users with DTE tokens.
All digital assets, such as DTE tokens, are handled via the DatEat e-wallet.
In order to faciliate trustless transactions, DatEat utilizes Ethereum smart contracts and the Hedged Escrow System.
The built-in AI engine serves multiple functions, including:
- Personality scoring and matching;
- Natural language empathy
- Reccomendation advisory engine
DatEat plans to enter into partnerships with a broad range of merchants to supply users with deals and vouchers. Users will also be able to take part in offline events and use the 24/7 community support system.
DetailsPre-sales: May 09, 2018 - May 29, 2018
Public sales: Jun 05, 2018 - Aug 30, 2018
Pre-sale token supply: 30000000
Token supply: 130000000
Soft cap: 3,000,000 USD
Hard cap: 23,000,000 USD
LegalRegistration country: Singapore
Token infoTicker: DTE
Token standard: ERC-20
Token price in USD: 1 Token = 0.150000 USD
Accepted currencies: ETH
ICO - 5%
Pre-ICO - $0.07 - $0.09 (Dutch auction)
05.06-26.06 - $0.09
27.06-23.07 - $0.12
100k+ DTE - 5%
200k+ DTE - 8%
300k+ DTE - 10%
40% - Token Sale
8% - Bounty or Bonus
12% - Founders and Team
30% - Company Reserve
10% - Social responsibilty fund
40% - Staffing and Development
30% - Marketing
10% - Operating Expenses
10% - Team Incentives
5% - Advisors Incentives
5% - Legal and Finance
Released beta version on IOS and Android.
Smart Contract and blockchain development;
DatEat Wallet & Tokens development;
Encryption and cybersecurity.
Virtual personal AI assistant development;
Big data analysis development.
Target first 500k users;
Tokens distribution to merchants;
Localization services in 5 countries in Southeast Asia.
10k merchants with 50k- 100k vouchers and available services on the network;
Morphological and semantic text analyzer.
Reach 1.2 million of users; Release the beta version of sybtactic and semantic analysis of users dialogs, preferences, characterisstic, face recognition in order for automatic scoring and matching.
Reach 5 million of users; Reach final implementation of automation of scoring and matching, together with places and services suggestion.
Reach 30 milion of users.