TripleBlind, a Kansas City, Missouri-based startup that provides data privacy solutions, on Monday announced raising $8.2 million in seed funding.
The oversubscribed funding round was led by Dolby Family Ventures, with participation from several companies and angel investors. Investors include Okta Ventures, NextGen Venture Partners, Operator Partners, Wavemaker Three-Sixty Health, AVG Basecamp Fund, Anorak Ventures, Quiet Capital, Clocktower Technology Ventures, Parity Responsible Technology Fund, Manresa Ventures, Accenture Ventures, Flyover Capital and KCRise Fund.
TripleBlind told SecurityWeek that it emerged from stealth mode in November 2020, when Accenture announced a strategic investment in the company.
Founded in 2019, TripleBlind has developed a de-identification and data privacy solution that enables organizations to share, use and monetize sensitive information — including personal, financial and health data — without the fear of violating privacy requirements and government regulations.
The company’s data privacy and API-driven virtual exchange solution encrypts data and allows users to perform approved operations, but without the need to actually decrypt the data.
“The return of all previous investors, the breadth of new investors and the oversubscription of the round demonstrate to us that data privacy experts support our new, breakthrough approach for enforcing data privacy while enabling organizations to leverage and gain insights from data,” said Riddhiman Das, co-founder and CEO of TripleBlind.
He added, “Thanks to our forward-looking investors, TripleBlind can accelerate our mission to free trapped data so enterprises can collaborate while concurrently enforcing data privacy and regulatory standards.”
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Eduard Kovacs (@EduardKovacs) is a contributing editor at SecurityWeek. He worked as a high school IT teacher for two years before starting a career in journalism as Softpedia’s security news reporter. Eduard holds a bachelor’s degree in industrial informatics and a master’s degree in computer techniques applied in electrical engineering.
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