ARK, which is a fork of Lisk, is developing an interconnected blockchain ecosystem that will make it easier for users to develop their own blockchains. Ark emphasizes interoperability and usability. Their moto is “Point.Click.Blockchain” and their goal is to allow for easy deployment of DApps. Ark's "push button blockchains" can be easily created with minimal programming knowledge. Ark also hopes to encourage adoption by developers by accommodating 18 different programming languages.
Ark has a delegated Proof-of-Stake (dPoS) consensus mechanism. Their governance model allows users to vote for delegates that secure the network. The top 51 delegates voluntarily share there tokens with their voters.
Ark contract execution service (ACES) connects ARK with other blockchains and will enable exchanges of value between them.

Ternio is developing a scalable blockchain framework called Lexicon. It was originally a fork of Hyperledger Fabric, and is designed to handle the high transactions rates that enterprise business clients need. Ternio's framework uses its Lexicon Blockchain as a data protocol, and the Stellar Blockchain as a payment protocol. Ternio will have a Byzantine Fault Tolerance (BFT) consensus mechanism. Ternio's marketing materials mention the benefits that their high performance, Lexicon blockchain can have in programmatic digital advertising, as well as a variety of other industries. Ternio also created the BlockCard; a crypto debit card that enables users to spend their cryptocurrency. Their network is currently powered by the Stellar-based TERN 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.