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Author Topic: 🌌|ANN| Aigang Network - Blockchain Protocol for IoT Digital Insurance |AIX|🌌  (Read 32422 times)
dyoann
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May 29, 2018, 06:10:20 PM
 #261

Guys I created a document to help dev test all the features already implemented and provide feedbacks . Please fill the doc in the link : https://github.com/AigangNetwork/aigang-platform-web/issues/55 and upload it in github  in a new comment . Thanks !
Andrew Singh
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July 18, 2018, 08:00:24 AM
 #262

What is Aigang

The insurance industry is days away from a technological and business milestone. The Aigang Network’s token sale on November 15th brings together Internet of Things devices and Autonomous Insurance, promising self-paying insurance claims on a subset of the 55 billion IoT products forecast to be produced over the next eight years. Aigang has created Proof of Concept products on the Ethereum blockchain that detect faults or failure dates (initially in mobile phones) and pay insurance claims to the user without the requirement for any human oversight. In other words, Aigang is creating an insurance DAO; a Distributed Autonomous Organisation.

The Proof of Concept app, on the Ethereum Testnet platform, has more than 7000 downloads and around 2000 smart insurance contracts have been issued. Aigang has deployed smart contracts that issue policies, conduct risk assessment and process claims. It has also deployed smart contracts that perform insurance profit calculations, create reserves and tokenise the insurance risk pool. The protocol architecture is able to integrate other insurance products.

AIX Tokenx

Members will receive Aigang AIX token rewards in return for telling whether they are bullish or bearish on particular insurance markets or products. Aigang uses a ‘proof-of-stake’/‘proof-of-reputation’ algorithm based on token ownership and an immutable reputation score stored on the blockchain. It takes into account the current weight in the prediction market, mechanics of insurance pools, the user’s proportion of total AIX tokens, and their reputation score.

As well as predictions, the AIX token will allow members to submit proposals for product improvements, making prediction markets a tool for product development. A vibrant community of smart insurance enthusiasts is critical, and we will attract those people by rewarding accurate predictions.


Aigang Protocol Layers

We aim to build a DAO Insurance Protocol on a blockchain which would enable community, companies, developers build insurance prediction markets and insurance products themselves, using our infrastructure. That’s how we see the future of blockchain insurance protocol.


Aigang (AIX) may be free of listing on Aiodex if the number of votes is large enough.
Let's vote for it ☞ https://aiodex.com/vote/coin/5b4ef372fa90c70aeae0a22b
onirecon2018
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August 16, 2018, 04:04:29 AM
 #263

Aigang is a platform building a blockchain protocol for digital insurance which can be use as a layer protocol utilizing smart contracts for decentralized insurance services for IoT and smart devices. Seems like an okay idea, but I think it can easily be exploited. I'm looking forward for them to provide further examples and information, because in that state it doesn't look that good.
statdude
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September 03, 2018, 02:37:03 AM
 #264

Decent R/R here.

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morantis
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November 01, 2018, 11:32:25 AM
 #265

Aigang — Dev Update, September-October 2018. Prediction markets, Testnet launch.
After intensive two months, Aigang is finally ready to enter testnet mode. We are happy with this achievement and somewhat mildly excited to start testing our first alpha version in open environment. Welcome to new update with no printscreens
https://medium.com/aigang-network/aigang-dev-update-september-october-2018-prediction-markets-testnet-launch-5c7dd063d4ef
Bazzzil86
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March 28, 2019, 05:59:06 PM
 #266

31 March 2019 (or earlier)
Aigang (AIX)
V3.0 Platform Release



source: https://tothemoon.live/?IsPast=False&Page=3&Month=0&Year=0&SortBy=0
bumTUNA999
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December 17, 2020, 11:23:38 AM
 #267

Did this die? Can't find any working links of their site and app Sad
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