APEX

by Apex Technologies

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ALQO

by ALQO

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Zilliqa

by Zilliqa

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APEX

by Apex Technologies

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ALQO

by ALQO

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Zilliqa

by Zilliqa

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What problem does this service solve?

APEX will allow B2C companies to leverage the benefits of blockchain and AI, and more easily create DApps for consumer use.Alqo is building a blockchain-based platform that will serve as an interconnected ecosystem for DApps.Zilliqa is building a scalable development platform based on sharding.

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Company Description

APEX is building a blockchain infrastructure for consumer applications that will focus on B2C transactions on the internet. Their goal is to provide an enterprise blockchain solution for creating custom DApps that will be used by consumers. The NEO-based network was created by APEX Technologies (formerly Chinapex), an established data technology and AI company. Their network is powered by the NEO-based CPX token.

Alqo is developing an ecosystem of decentralized products and services that will be powered by the Alqo coin (XLQ). Their blockchain-based ecosystem enables instant and anonymous transactions. The XLQ coin is designed to be a multipurpose coin that will be used by all projects in the "Alqo Planetary System." Alqo is currently building Bitfineon (cryptocurrency exchange) and Payinx (payment solution for merchants). They plan on adding more projects (planets) to their ecosystem later. The Alqo network uses a modified Proof-of-Stake (PoS) consensus mechanism and an improved version of Zerocoin for encryption. The Alqo DAO (Decentralized Autonomous Organization) uses a Carbon Voting system to resolve governance issues.

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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