XMax

by XMax

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Chain

by Chain

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FOAM

by FOAM Inc.

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XMax

by XMax

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Chain

by Chain

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FOAM

by FOAM Inc.

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What problem does this service solve?

XMax will provide developers with the tools to more easily prototype and launch their entertainment-related DApps.Chain develops blockchain software for financial institutions and other companies that want to create an alternate data model on their backends.FOAM aims to to bring location data to blockchains and enable consensus driven mapping.

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Company Description

XMax is creating a developer ecosystem for entertainment DApps. Their entertainment-focused blockchain ecosystem will enable multiple functional sidechains, and will provide a SDK which will make it easier to develop decentralized applications. XMax will also offer a variety of multimedia libraries. The XMax blockchain will have a VRF (Verifiable Random Function) consensus mechanism that will randomly select network users to participate in the verifying transactions.

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

FOAM is developing a blockchain-based location service protocol for embedding physical locations in Ethereum smart contracts. The FOAM network will use radio beacons and will provide incentives for decentralized location services that will be given by network participants. Users will stake tokens to become zone anchors, that will work with radio beacons to return location data to the network. FOAM's Proof of Location protocol will be used to confirm consensus on the location of objects and entities in space and time.

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