Aigang Whitepaper

 

Abstract

 

Executive Summary

We are rushing into an era of pervasive connectedness. 55 billion Internet of Things (IoT) devices will be bought over the next eight years. Most of them will be able to diagnose their own operating state and communicate imminent failure. Because none of this requires human verification, there is an opportunity for automated insurance products – insurance that verifies claim events and pays claims automatically.

There is a second opportunity. Most IoT devices collect data. Drones, sensors and cameras can send data that can be used as an input to insurance calculations. This will see an explosion in the number and diversity of insurance products.

With smart contracts and a tokenised system that assesses risk, we‘re building a platform for autonomous insurance, usable by any manufacturer or insurer. Here is the pathway to that:

  • Harness the wisdom of the crowd Form prediction markets whose members (token holders) are subject specialists and insurance enthusiasts Combine prediction markets with insurance pools
  • Use prediction markets to assess insurance risk Construct algorithms that price the policy premiums and predict profitability of insurance pools
  • Develop a token model that incentivises and rewards members for accurate insurance market predictions
  • Create a network effect so that all token holders benefit from the efficiencies of the system, regardless of their individual forecasting success
  • Automate through smart contracts
  • Create a Decentralised Autonomous Organisation (DAO) that uses smart contracts to connect intelligent devices with insurance policies
  • Connect to devices that communicate their need for maintenance or replacement
  • Automate insurance payouts
  • Use re-insurance to handle exceptions
  • Automatically sell tokens or issue payments to keep reserves within target range
  • Partner with data providers
  • Seek out manufacturers who already collect data on their devices’ operating states
  • Collect data from drones and sensors that would help inform insurance risks
  • Use device data as intelligence in valuing and creating policies
  • Subject to the regulatory environment, encourage third parties to create insurance offerings using the platform
  • Cooperate with manufacturers wanting to pre-install insurance policies

The global IoT insurance market is expected to be worth USD 42.7 Billion by 2022 and we are positioning ourselves as a significant innovator in that space.

We have demonstrated a proof of concept with working apps, integrated feeds from data suppliers, all required algorithms and business logic. We now require funds to build a fully operational platform, develop partnerships with data suppliers, extend our organisational infrastructure and promote the platform on an appropriate scale.

Aigang Website
Aigang Whitepaper

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Autonio Whitepaper

According to a recent JP Morgan report 90% of all Wall Street trading volume is attributed to automated HFT and Index Funds.1 Advanced learning algorithms have largely been the domain of trading banks and hedge funds that use AI as part of a larger strategy that employs a variety of trading tactics. Their types of models react to split second changes in relationships between different markets. The spoils go to the banks with the fastest models and the fastest execution that can take advantage of short term transient market inefficiencies. Because the markets traded are mature, the movements are usually minute, with huge transactions that drive correspondingly high profits.

On the other hand, cryptocurrencies are the brave new world of trading. The markets are relatively young and still very inefficient. It is not unusual to see bitcoins move 10% in a single day. In addition, due to size and potential regulatory conflicts, the cryptocurrency markets are largely shunned by established trading houses leaving the field open for dynamic young companies to take advantage of the opportunities in the markets. With market capitalization ballooning (cryptocurrency market capitalization has grown from $8.8bn to $80.6bn in the past year with no signs of a slowdown), the time is right for a dispassionate, selflearning trading engine to take advantage of an environment where less professional and less disciplined traders create many profit opportunities. Cryptocurrencies are obviously a natural fit for automated trading; the market volatility can be hugely profitable using AI-based trading and is rapidly gaining popularity. Automated trading is mainly achieved using scripts that need some coding experience and are devoid of GUI, or through one of about half a dozen commercial products requiring expensive memberships. Crypto trading may not be easy and sure-shot thing for everyone.

And, therefore we introduce AUTONIO

Education Ecosystem Whitepaper

Abstract

LiveEdu is a decentralized peer-to-peer project learning platform for people to improve
their job skills in future technologies. LiveEdu is building the YouTube for online
education and professional development and targeting the $306 billion professional
development market. We are taking one category out of YouTube and building it out into
a bigger category of its own. Just as Twitch took the category gaming out of YouTube
and built it into its own large vertical, LiveEdu is taking the category professional
development out of YouTube. The main participants in the LiveEdu network are project
creators, viewers, moderators, API developers, colleges, schools, libraries, businesses
and third-party online education companies. We are an existing business, with team
members from Amazon and Y-combinator. LiveEdu is building the world’s largest
project learning network starting with the eight topics: artificial intelligence,
cybersecurity, game development, data science, cryptocurrencies, programming,
design, and augmented and virtual reality. Our network will be all opened for all topics in
2019. We aim to develop a decentralized online learning network that is not reliant on
learning theory, but practical career skills by using real complete projects. Project
creators create educational projects and are paid monthly, lifelong royalty fees as
viewers learn from their projects. We are emulating the token model of Steemit and
applying it to LiveEdu. In this paper we explain the token mechanics for the blockchain
LEDU smart contract tokens and how we intend to fully integrate LEDU into the whole
product, internal and external ecosystem.

Education Ecosystem Website
Education Ecosystem Whitepaper

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TrueFlip Whitepaper

TrueFlip White paper introduction
True Flip is a blockchain lottery platform. We have already developed a bitcoin-based and fair-proof lottery 6/49 (Powerball*) and plan to make at least 3 more lottery games. It is the first stage of the development and we have done half the work already.

In order to fulfill our mission in the best possible way we are making the whole lottery fully transparent: every ticket sold, every win and financial results will be published on the blockchain.

The second goal is to make True Flip platform as decentralized as virtually possible.

The third, probably the most ambitious goal is to create a platform which could be used by private companies, charitable foundations and even governments to set up any kind of lotteries White label. Further details are set forth in this Whitepaper.

As the first step, we plan to create True Flip tokens which will grant their holders an access to a special quarterly game and entitle them to vote on the lottery’s future development. We will also launch a Token Sale in order to distribute 70% of all True Flip tokens within the community. The team will own 20% of the tokens to remain motivated to keep on developing the project. The remaining 10% will be used to pay for advisers, escrow and bounty services. All unsold tokens will be burned.

There will be 21`000`000 of the TFL Tokens issued at the rate of 0.0005 BTC per 1 Token. During the Token sale 14`700`000 Tokens will be put on sale. 10 to 15% of the ticket sales revenues will be allocated to a TFL Token holder game, held only among the TFL Token owners.

True Flip Group SRL is incorporated in Costa Rica, which officially allows online gambling. Trueflip.io website contains Terms & conditions, Public offer, Privacy Policy and Referral System Agreement.

TrueFlip Whitepaper pdf: