How the Ethereum Blockchain can help connecting companies together with Rockchain
Sebastien J.
Tech lead .NET Solidity Python | Blockchain, GenAI and cloud | Market finance
Doing business between business entities rely on a framework of trust: trust the identity of your business partner, trust that he does what he says he's doing, that he can be accountable for past exchanges. In the centralized world, it involved legal contracts coupled with one-to-one data routes that were materialized as "web services", each party storing past exchanges as a source of accountability. As no one could trust the other part enough to delegate the full process on his remote systems, often, each business party had to mirror the whole collaboration process in his IT systems, creating a costly redundancy when the number of parties would increase.
For doing the same thing in a scalable, automatic and frictionless way, companies need to create data routes between themselves dynamically. It involves having a proof of identity, collaborative features on an independent software platform. What a great opportunity for a Blockchain like Ethereum.
However, the Ethereum Virtual Machine can't deal with data privacy directly. It can merely help companies define and share their desired access rights on data. To have a fully scalable, automated, notarized, identity-based sharing system of documents between legal entities, we need a "Data Firewall" connected to the public Blockchain.
Rockchain.org is developing this "data firewall" under the name of the dAppBox. The product is in alpha version and the demo is available here on Youtube. For the accountability part, Rockchain is developing dashboards that can have real time statistics on the Ethereum Blockchain, the DashRock (also presented in the demo).
While doing R&D on the DashRock, we realized how hard it was too get relevant real time statistics on a Blockchain such as Ethereum, and how it could benefit the community to have such a reporting tool released open source. We thus designed the DashRock to be able to deal with any smart contract event statistics: function calls, input parameter statistics, balances, and public smart contract collections contents, and will publish it open source in less than 18 months as for all our other frameworks.
Finally, many case of interesting collaborative patterns involved being able to open a data repository to the ecosystem for computation only, not for the raw data. It means that companies allow some chosen partners to run their algorithms on their "datalake", but only to retrieve some selected results, not the raw data. One of our Dapp, WeeFin, thought it would be interesting in the financial regulation industry (WeeFin). Another Rockchain Dapp is finding it interesting for a private use on genomics information (Genomes.io). Only distributing computation results to the public is an active cryptographic research field with very recent breakthroughs. Our benchmark position Rockchain RockEngine has a potential framework for such usage in many use cases, as we're gaining speed and we're reducing the memory footprint as compared to alternative approaches.
Rockchain is starting its ICO tomorrow; we introduced an innovative approach to ICOs tokens emission: even if Rockchain ICO does not reach the min cap (the minimum amount raised for the ICO to be considered a "success") Rockchain would still distribute the ROK tokens to initial contributors, accordingly to their initial token purchased amount, while letting those contributors have their money back. Rockchain is launching the infrastructure in one month in any case, because it's backed by customers demand, while keeping 20% of the redeemed tokens for the team.
I invite you to watch our 2 minutes concept video, to grasp the upcoming challenge of distributed data privacy in our futuristic 3D video, and to check our white paper and ICO terms on rockchain.org