stackadapt
AIUR Logo

AIUR (AIUR)

Trust ScoreB

AI tools for open, validated and unbiased world of science

Project Aiur will democratize science, disrupt research system incentives, and make scientific content accessible to all. We’ll initiate a decentralized community using the blockchain. Together we’ll build a machine where a research article can be checked up against all other research in the world. This allows us to build a massive collection of knowledge that is validated and reproducible. Members will own the project, can use the tools we build together, and can vote in important decisions.

  • Category Machine Learning & AI
  • Websiteprojectaiur.com
  • Project Type Token
  • White PaperOpenOpen White Paper
  • PlatformEthereum Ethereum
  • Bitcoin TalkOpenOpen Bitcoin Talk
  • Jurisdiction Bulgaria
Tags
Education
Start Date
September 4th 2018 10:00 UTC
- -Days
- -Hours
- -Mins
- -Secs
End Date
October 2nd 2018 23:59 UTC
- -Days
- -Hours
- -Mins
- -Secs
Restricted Countries
Australia
Canada
China
Iran
Republic of Korea
Singapore
United States

AIUR Token Distribution

  • Community Escrow6,000,000 AIUR60.00%
  • Iris.ai Services2,500,000 AIUR25.00%
  • Institution Reserves1,500,000 AIUR15.00%

Milestones

  • Q2 2018

    Initial setup of Project Aiur Knowledge Validation Engine

  • Jul 2018

    Pre-sale opens

  • Sep 2018

    Public token sale opens

  • Q4 2018

    Economy stability mechanisms & Keyword Annotation Tool development

  • Q2 2019

    First APIs & Hypothesis Annotation Tool development

  • Q1 2020

    Iris.ai releases 50% ownership of tokens to the Institution remaining only with 2% and becomes one of many actors in the community

  • Q1 2020

    Knowledge Tree Builder & Reproducibility Engine MVPs

  • Q1 2021

    Validity Engine MVP

  • Q4 2021

    First version of the Knowledge Validation Engine

  • Q2 2022

    Advanced version of the Knowledge Validation Engine

Questions

Why is your company going to succeed?

There are a number of problems in the world of science today hampering global progress. In an almost monopolized industry with terrible incentive misalignments, a radical change is needed. Current problems faced by the scientific community and the users of scientific content today include: (1) information overload; (2) access barriers; (3) reproducibility issues; (4) built-in biases; and, (5) incentive misalignment. While Iris.ai has already proven success in solving problem (1) and (4), addressing the remaining issues requires additional effort beyond what the company can achieve on its own. To equip it to succeed, Iris.ai is currently in the process of launching Project Aiur. Project Aiur aims to democratize science, disrupt research system incentives, and make scientific content more transparent and accessible to all. Project Aiur has the following goals: (1) to bring together researchers, coders, and anyone interested in science into an open-governed community that will work to address the 5 problems outlined above (2) to build together with the community an AI engine for Knowledge Validation, and (3) to provide to the outside world a Validated Repository of scientific content. There are also at least two major factors that will help us to reach the above mentioned goals: proven software development credibility and the proposed solution to the identified challenge. Firstly, and in contrast to the rest of the blockchain for science projects we are aware of, we have demonstrable experience and a proven track record as software developers. In fact, during Iris.ai’s first three years of existence we have built and shipped four commercial grade, full product releases. As witnessed too often in the blockchain space to date, promising and delivering are two quite different things! We have the resources and the expertise to build Aiur as per the development roadmap outlined in our white paper. The other major differentiating factor is the Knowledge Validation Engine we are building with the community. As with so many other marketplace type solutions, we are of the belief that a publishing platform does not hold value until it holds massive amounts of content, and it does not hold massive amounts of content until it holds a lot of value. We do not believe you can solve the broken incentive structures present today in science simply with a new technology platform to publish on. Instead, we will be building the Knowledge Validation Engine, and as the tools built on top are launched – tools for a scalable review and quality assessment process that could not be solved by humans -, we expect to drive growth in the Aiur token economy with an active contributing community and clients buying and paying AIUR tokens to access those tools.

Where did your team members meet originally?

Iris.ai was founded at NASA Ames Research park summer 2015. We found a common frustration with the access to and passion for the value of scientific knowledge, and as such Iris.ai – named after the Greek messenger goddess, bringing messages from the gods to the people – was born. Since the start of our journey we have been an impact driven startup. In mid 2017 we realized that, whilst en route to becoming a successful straight-down-the-middle enterprise SaaS company, inertia was putting back our impact ambitions. First introduced to blockchain technology in 2015, we decided to dive deep into leveraging blockchain technology to help disintermediate and democratize Science. Today we are a highly distributed international team of 20 passionate overachievers and weirdos. We never take the easy way out, mainly because we let societal impact drive our strategic decisions. And while ‘making the world better’ sounds like such a cliché, we try to do that – one happy scientist at a time.