BlockMason

by Blockmason Inc.

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Etherparty

by Etherparty

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Zilliqa

by Zilliqa

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BlockMason

by Blockmason Inc.

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Etherparty

by Etherparty

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Zilliqa

by Zilliqa

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What problem does this service solve?

BlockMason gives developers easy to use and standardized smart contracts for developing credit/debit related DApps.Etherparty wants to simplify the development of decentralized applications. It is developing a platform of blockchain software products that will help users develop many of the common functionalities with less technical knowledge.Zilliqa is building a scalable development platform based on sharding.

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Company Description

BlockMason is a technology company that provides users with a blockchain base-layer for creating DApps. The Blockmason Credit Protocol provides a standardized smart contract platform for recording credit and debt obligations on the blockchain. Their network is powered by the Ethereum-based BCPT token. BlockMason also created Lndr, which is a peer-to-peer bill-splitting and expense-sharing App that is available on iOS and Android.

Etherparty is a cloud platform offering blockchain related software. They want to make smart contracts as easy and accessible as possible. by helping to automate many functions that decentralized applications require. Etherparty focuses on user-friendly design to simplify the creation of smart contract related platforms. They are currently developing several software products aimed at users with different needs, including: token generation, crowdfunding, supply chain management, and philanthropy. Etherparty is powered by FUEL tokens.

Zilliqa is an innovative blockchain platform that is designed to be more scalable as the network grows. Zilliqa's platform is based on the concept of sharding; which involves breaking a large network of computers into smaller decentralized networks.
Zilliqa's goal is to increase transaction rates as its network expands. The platform is tailored towards enabling secure data-driven decentralized apps that are designed to meet the scaling requirements of machine learning and financial algorithms.

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