Quantstamp to Audit and Advise Wanchain’s Ecosystem

Richard Ma
quantstamp
Published in
2 min readMay 25, 2018

Quantstamp is proud to announce that, working together with Wanchain, we plan to help Wanchain’s multiple initiatives to advance the Wanchain Ecosystem. Quantstamp will assist through auditing services and leadership on security recommendations for Wanchain’s 2.0 release. By supporting Wanchain’s mission of building the distributed infrastructure for financial applications, Quantstamp aims to further and expedite the adoption of blockchain technology.

Quantstamp also hopes to improve the smart contract security practices of projects that are part of WANLab, Wanchain’s accelerator program. Quantstamp’s alliance with Wanchain is designed to accelerate the time to market of Wanchain 2.0 Ecosystem projects, while helping to ensure the security of the Wanchain ecosystem.

Wanchain is a blockchain ecosystem that enables the exchange of digital assets with privacy protection among other blockchains using cross-chain smart contracts. The Wanchain infrastructure simplifies the creation of distributed financial applications for individuals and organizations to access financial services such as loans, asset exchange, multi-asset ICOs, and other asset management capabilities. Wanchain 2.0 enables the cross-chain functionalities with Ethereum.

WANLab is an international blockchain accelerator and incubator powered by Wanchain.

WANLab provides selected projects with mentorship, resources and support throughout the different stages of their development to create an ecosystem to accelerate the next generation of quality blockchain startups.

We believe Wanchain’s vision of an interoperable blockchain ecosystem will accelerate financial inclusion and increase adoption of smart contracts and blockchain technology. By working with Wanchain from a security perspective, Quantstamp aspires to work toward creating a safe and sustainable future for the blockchain ecosystem.

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Richard Ma
quantstamp

Co-founder and CEO @Quantstamp. Previously algorithmic strategist at Tower Research, ECE @Cornell