Orvium (ORV) ICO

updated 15 February 2019

Orvium is the first decentralized social platform for scientific collaboration, funding and publications management based on Blockchain and Artificial Intelligence.

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Status: upcoming
Private sale: 01 Jan`19-01 Apr`19
Presale: 04 Feb`19-17 Feb`19
Public sale: TBD-TBD
Cap: 20 000 000 USD
Goal: 2 000 000 USD
Price: 1 ORV = 0.1 USD
Blockchain: Ethereum
Offering type: Utility
Country: Estonia
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We have a comprehensive approach that covers all stages of scientific dissemination including paper submission, peer review, associated data and a solution for managing Decentralized Autonomous Journals by the community.


Science Patronage

Any person or entity can challenge the scientific community to solve specific problems or/and challenge the society to contribute to research programs.


Adoption strategy

For Orvium’s purpose the roll-out of the solution and global adoption is the most essential aspect. Orvium’s business development plan have paid special focus on this aspect by a number of defined adoption incentives to this regards. In addition, the partnerships and deep knowledge of the scholarly publication market and scientific collaborations frameworks is essential.



Orvium has already assembled an advisory board of world-class technology experts and solution providers drawn from some of the world’s most venerable research institutions and private corporations. Our Team is a reference in Big Data and Machine Learning and we have an extensive experience as responsibles for the Big Data initiatives at CERN scale. To illustrate this we have served as advisors for Big data and machine learning initiatives for global leading companies such as Bank of England, ASML, UPS, Gasco, ENI, Nespresso, BMW, in this area.



Orvium provides a new global and decentralized platform for scientists and research organizations to control a publication’s life cycle through a unique combination of technologies: 1. blockchain and smart contracts; 2. decentralized storage solutions; 3.cloud computing; 4. big data analytics and machine learning; 5. custom web interfaces; 6. public APIs and 7. tools for collaboration.


Rewards to community

By offering reputational and economic rewards to peer reviewers, this transparent and incentivised review process ensures that research may be peer-reviewed and published more efficiently and at a fraction of the cost than is currently possible.