BOScoin

by BOScoin

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Sakura Bloom

by Sakura Bloom

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Zilliqa

by Zilliqa

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BOScoin

by BOScoin

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Sakura Bloom

by Sakura Bloom

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Zilliqa

by Zilliqa

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What problem does this service solve?

BOScoin wants to make a protocol for better smart contracts that will ensure that these blockchain-based agreements will always provide a binary response.Sakura Bloom allows merchants to create blockchain-based customer rewards programs that are more flexible and transparent.Zilliqa is building a scalable development platform based on sharding.

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Company Description

BOScoin is a South Korean company that is developing a self-evolving cryptocurrency platform for trust contracts. It uses an embedded decision-making system called Congress Network and has a Proof-of-Stake (PoS) consensus mechanism. BOScoin is working to construct an algorithm for smart contracts that will ensure binary responses. BOScoin tries to solve this problem of undecidability of smart contracts by using a domain-specific language understandable by the average user. It also tries to mathematically demonstrate the decidability of its smart contracts’ implementation. To do this, they've introduced the concept of Trust Contracts; which are securely executable contracts based on a technology called Owlchain.

Sakura Bloom is a Japanese company that is developing a blockchain-based rewards network. It will allow businesses to create customer loyalty programs that are cross-site and cross-platform compatible. Consumers are not restricted to using their rewards with just one merchant, and can redeem them in different ways. The network is powered by the SKB 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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