Aergo

by Blocko

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Ternio

by Ternio LLC.

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Zilliqa

by Zilliqa

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Aergo

by Blocko

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Ternio

by Ternio LLC.

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Zilliqa

by Zilliqa

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What problem does this service solve?

Aergo's goal is to create a better DApp development platform.Ternio aims to build a single blockchain frame-work that will be capable of meeting the needs of multiple industries.Zilliqa is building a scalable development platform based on sharding.

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Company Description

Aergo is developing an SQL based smart contract platform that will allow developers to more easily share data and create DApps. Their platform will combine elements of public and private blockchain architectures and will have a hybrid BFT/dPoS consensus mechanism. The ERGO Hub will serve as a blockchain hosting service that will allow users to test and deploy their own blockchains. Their network is currently powered by the Etherem-based AERGO token.

Ternio is developing a scalable blockchain framework called Lexicon. It was originally a fork of Hyperledger Fabric, and is designed to handle the high transactions rates that enterprise business clients need. Ternio's framework uses its Lexicon Blockchain as a data protocol, and the Stellar Blockchain as a payment protocol. Ternio will have a Byzantine Fault Tolerance (BFT) consensus mechanism. Ternio's marketing materials mention the benefits that their high performance, Lexicon blockchain can have in programmatic digital advertising, as well as a variety of other industries. Ternio also created the BlockCard; a crypto debit card that enables users to spend their cryptocurrency. Their network is currently powered by the Stellar-based TERN token.

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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