Website:
Start At:
2018-01-29
End At:
2018-03-05
Base:
Ethereum ERC20
Founded:
Estonia

Categories:
Service & Platform, Software
Currencies:
BTC, ETH, LTC, DASH, XEM, XMR
Whitepaper:

Daneel
ICO


Features:


Daneel crawls the Web for you and uses powerful algorythms to bring reliability in the crypto jungle.

By using our AI based on IBM Watson, be assisted in your daily investment decisions making.

Token Sales:


1 DAN = 0.25 EUR

Tokens for sale  40,000,000

Sold on pre-sale: 46,400 USD (200000 DAN (25% BONUS))

Hard cap: 16,000,000 USD

Distributed in ICO 40%

Bounty Campaign:

Road map:

Quarter 4, 2017
Preparation and launch of the ICO phase
Definition of the legal framework
Beginning of IBM partnership
Quarter 1, 2018
Distribution of DAN tokens
Discussion with exchange platforms
Launch of a recruitment campaign to complete the team
Administrative and financial structuring of the company
Further development of the community and establishment of new partnerships
Participation in different events relating to artificial intelligence
Quarter 2, 2018
Continuation of the recruitment campaign
Launch of work on the reliability of data sources
Launch of the development of the automated system for harvesting and analyzing information
Opening subscriptions
Defining the UI / UX user experience of the application
Continuous updates on Daneel’s progress
Quarter 3, 2018
Development of conversational intelligence
API development
Realization of the ergonomic works and visualization of the portfolio
Completion of ecosystem security audits
Launch of the application’s beta test phase
Quarter 4, 2018
Development of “confidence score” services, comprehensive reports, and analyses of market emotion
Development of fast actions: placing orders in one click, sending funds, ...
Submitting the iOS and Android app on the respective stores
Integration of services on the web platform (desktop version)
Quarter 1, 2019
mprovement of the conversational intelligence system
Big data analysis of harvested data and user requests, in order to improve the conversational intelligence system
Analysis of the impact of news and market sentiment
Development of predictive functionalities

Links: