February 18, 2020

VentureBeat: Enveil Raises $10 Million For Enterprise-Scale Homomorphic Encryption

VentureBeat writes about Enveil’s $10 million in series A funding round and the growing homomorphic encryption market.

Excerpt: Analyzing, searching, and performing calculations on encrypted data hasn’t historically been possible at scale. But thanks to the emerging technique of homomorphic encryption, it’s becoming feasible at the production level. One of the firms at the forefront is Enveil, which was founded by Ellison Anne Williams, a former National Security Agency senior researcher and previously a senior scientist at the Johns Hopkins University of Applied Physics Laboratory. Enveil has kept a low profile for the better part of three years, but this morning it announced that it’s raised $10 million in series A funding, bringing its total raised to approximately $15 million.

Williams said that the tranche — which was led by C5 Capital with participation from Mastercard, Capital One Ventures, Bloomberg Beta, and 1843 Capital — will enable Enveil to expand its product line as it collaborates with strategic backers including DataTribe, Bloomberg Beta, Thompson Reuters, the USAA, CIA-linked In-Q-Tel, and Refinitiv. She added that it will also help the company cultivate traction within commercial and government markets, grow its customer support functions, and expand its sales team.

Read the full VentureBeat article here.

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Enveil is a pioneering Privacy Enhancing Technology company protecting Data in Use. Enveil’s business-enabling and privacy-preserving capabilities change the paradigm of how and where organizations can leverage data to unlock value. Defining the transformative category of Privacy Enhancing Technologies (PETs), Enveil’s award-winning ZeroReveal® solutions for secure data usage, sharing, collaboration, and monetization protect data while it's being used or processed. Customers can extract insights, cross-match, search, and analyze data assets at scale without ever revealing the content of the search itself, compromising the security or ownership of the underlying data, or exposing their interests and intent.
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