LOGO_CRYPTO_SIGHT

Aurora Secured $12M Via Fundraising to Work On Ether Ecosystem Scalability

By Shannon Wilson | October 15, 2021

Aurora, an Ethereum Virtual Machine (EVM) built for supporting NEAR-based DApps scalability – has reportedly disclosed details regarding a successfully acquired $12-million via fundraising. 

Specifically, the round reportedly witnessed the participation of more than 100 venture capital investors, including Pantera Capital and Electric Capital.

Per the official statement, Aurora will reportedly channel the fund towards widening the scope of its cross-chain capabilities, outside the confines of the existing services, apart from bringing on board professional engineers to assist the development of Ethereum scaling.

The scaling solution reportedly has a primary target of supporting the interoperability between blockchains via its EVM connection and multi-chain bridge, equipping the engineers with the accessibility to roll out DApps using multichain functionality.

Aurora further shared that it is conducting the development process for designing a price oracle, data indexer, an automated market maker exchange, and block explorer, among additional functionalities.

The EVM reportedly operates as a blockchain-powered computer engine at the core of Ethereum’s operating network, in charge of carrying out transaction execution, smart contract deployment, and other operating functionalities, apart from facilitating developers to design DApps on its blockchain.

Recently, the blockchain data explorer Etherscan has reportedly formed an alliance with Aurora, to complete the integration of its Ethereum-exclusive service to participants of the Near protocol.

“Our goal at Aurora has been to create a future where the obvious gaps between blockchains, developers, and users are seamlessly bridged. The success of this funding reinforces Aurora’s appeal among our community and our objective to bring scaling solutions across the crypto ecosystem.” Alex Shevchenko, CEO of Aurora, further remarked.

Tags: , , ,

Related Articles

Comments