202108 Jun

NFT Data Startup Snickerdoodle Labs Raises $2.3M Seed Round from Kenetic, Blockchain Capital, Tribe Capital and FTX/Sam Bankman-Fried

Summary

Further, Snickerdoodle will enable enterprises to interact with personal data, with user permission and privacy, at scale across multiple blockchains. “We are building a first-of-its-kind infrastructure to allow people to own and monetize their data in a secure way, no matter where it lives, how it travels, or what it’s used for,” said Atticus Francken, Co-founder and Chief Strategy Officer of Snickerdoodle Labs. San Jose, CA, June 08, 2021 --( PR.com )-- Blockchain startup Snickerdoodle Labs, a company building an enterprise NFT based data layer to empower individuals to take control of their data, has announced the successful closing of their seed funding round for $2.3 million.The round was led by Kenetic, a Hong Kong based blockchain investment and trading firm with notable venture capital funds Blockchain Capital, Struck Ventures, Zilliqa Capital, FTX and Sam Bankman-Fried, Tribe Capital and Zinal Growth completing the round to form a strategic coalition of investors with expertise in crypto, blockchain technology, data science and enterprise integration.Snickerdoodle is pioneering the use of NFT technology to build a dynamically secure data economy that creates value for all stakeholders, including data owners. Further, Snickerdoodle will enable enterprises to interact with personal data, with user permission and privacy, at scale across multiple blockchains. Thats exactly what were building.”Working across industries and with universal integration across digital wallets and marketplaces, Snickerdoodle’s vision is to leverage NFTs as the cookies of Web 3.0, supporting the development of commercial and industrial NFTs while removing barriers and limitations between people and technology.“Snickerdoodle is the first company to pioneer NFT’s for enterprise data usage, and is laying the foundation for a massively scalable and interoperable framework for safe, private and incentivized use of personal data.

Source: Pr

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