FLO

by FLO

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Chain

by Chain

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Zilliqa

by Zilliqa

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FLO

by FLO

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Chain

by Chain

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Zilliqa

by Zilliqa

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What problem does this service solve?

FLO's blockchain allows users to record short comments or notes to its transactions.Chain develops blockchain software for financial institutions and other companies that want to create an alternate data model on their backends.Zilliqa is building a scalable development platform based on sharding.

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Company Description

FLO is a Proof-of-Work blockchain with a metadata layer called floData. It enables users to easily record notes to its blocks, and can be used to create DApps. One of FLO's central features is the Open Index Protocol, which standardizes cryptographic ownership on open networks. The founders of FLO are also working on Alexandria; an open-source standard for users to publish and distribute original content. FLO's source code is based on that of Bitcoin and Litecoin. It is designed to enable fast transactions times.

Chain is a blockchain software company that creates blockchain-based systems for financial institutions and major companies. They've developed blockchain solutions for companies like Nasdaq, Visa, and Citigroup, as well as a variety of crytpocurrencies. Chain has been successful in incorporating distributed ledger technology in very large and influential companies. Their focus is on using the core innovations of blockchain to improve existing systems. Chain uses blockchain as a software tool that can be applied where it is important for services or product to have more trust, or to build a network without an intermediary

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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