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EY Allocated $100M Investment to Develop blockchain Product Suite, Releasing DeFi Contract Simulator

By Shannon Wilson | May 18, 2021
Beam CEO Discussed Differences Between Its Confidential DeFi and MakerDAO, COMP

One of the “Big Four” accounting entities – Ernst & Young Global Limited (EY) – is reportedly still on its path of intensive blockchain investment, with $100 million allocated to engineering and building DLT for enterprise applications. 

Specifically, On May 17, EY reportedly disclosed details of its second-generation Smart Contract & Token Review products, via its EY Blockchain Analyzer product suite, which comes with a testing studio, offering the ability to carry out simulated smart contract execution for complex DeFi applications. 

“The new iteration supports multiple new capabilities that are expected to be used in complex DeFi contract ecosystems. It offers a blend of compliance testing with traditional code review, and it supports customized smart contract tests and simulation of mainnet transactions.” EY further explained. 

Yael Tamar, the co-founder of asset tokenization firm, SolidBlock, reportedly shared the experience of utilizing the new studio for smart contract review, dedicated to property-backed security tokens. 

“It was very beneficial to simulate how our contracts could perform on the network prior to deployment and test the contracts against widely known attacks in this market.”

EY further shared that the beer firm from Italy, Birra Peroni, is reportedly utilizing its Ether-powered supply chain tool – dubbed “EY Opschain Traceability” – to work on the firm’s paper notarization, as well as the minting process of nonfungible tokens for identification and information tracking for Peroni beer batches. 

EY reportedly also contributes its source code to a zero-knowledge-proof prototype compiler in the public domain. The company’s most recent ZKP protocol – which goes by the name “Starlight” – was designed to primarily tackle the issues associated with preserving commercial confidentiality on a shared network.

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