IPFS

by

(0)
View Profile

Securitize

by Securitize

(0)
View Profile

Zilliqa

by Zilliqa

(0)
View Profile

IPFS

by

(0)
View Profile

Securitize

by Securitize

(0)
View Profile

Zilliqa

by Zilliqa

(0)
View Profile

What problem does this service solve?

IPFS is a decentralized alternative to HTTP that can be used to make recording blockchain transactions more efficient.Securitize helps security token issuers manage all aspects of their tokenized digital assets.Zilliqa is building a scalable development platform based on sharding.

Token Stats

Not Relevant

Company Description

The Interplanetary File System (IPFS) is a decentralized network protocol for sharing hypermedia in a distributed file system. IPFS can be used to link blockchain transactions This effectively timestamps and secures the content, without having to put the data on the chain itself. Filecoin, an IPFS-based decentralized storage cloud, is closely related with the IPFS protocol, and provides the incentive system.

Securitize is a security tokenization platform. The company is focused on compliance and regulatory issues, and their dashboard helps clients manage the entire life cycle of a token. Token issuers can manage all aspects of their tokens, including issues related to regulation, fractional ownership, and driving liquidity. To do this, Securitize has developed an innovative protocol for managing ownership of digital assets. Their Digital Securities (DS) protocol will support third party apps, and will help address all aspects of the digital security life cycle, as well as the interests of investors, exchanges, and other stakeholders.

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.

Ratings

(0)

(0)

(0)