Startup Showcase: TripleBlind Revolutionizes Privacy Enhancing Computation

Privacy is a fundamental right, and with the increasing digitization of data, it has become more important than ever to protect personal information. However, privacy is often at odds with the benefits of data analysis and machine learning. TripleBlind, a startup based in Kansas City, Missouri, has developed a software-only solution for privacy enhancing computation that solves this problem. With TripleBlind, companies can unlock the intellectual property value of their data while preserving privacy and ensuring compliance with HIPAA and GDPR.

Innovative Solution for Privacy Enhancing Computation

TripleBlind’s solution is delivered via a simple API, making it easy for companies to integrate into their existing workflows. It builds on well-understood principles such as federated learning and multi-party compute, but with added scalability and faster processing. This enables it to support all data and algorithm types, making it a versatile solution for a broad range of use cases. Currently, the company is focusing on healthcare and financial services, two industries where data privacy is critical.

TripleBlind’s solution compares favorably with other privacy-preserving technologies such as homomorphic encryption, synthetic data, and tokenization. The company has documented use cases for more than two dozen mission-critical business problems, highlighting the versatility of its solution.

Backed by Top Investors

TripleBlind has already gained the attention of top investors in the technology industry. The company is backed by Accenture, one of the world’s largest consulting firms, as well as General Catalyst and The Mayo Clinic. This support has allowed TripleBlind to expand its operations and offer its solution to a wider range of businesses.

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Potential Impact

TripleBlind’s innovative solution has the potential to revolutionize the way companies approach data privacy. By preserving privacy while unlocking the value of data, businesses can benefit from the insights that come with data analysis and machine learning without compromising privacy. This could have far-reaching effects on industries such as healthcare and finance, where privacy is critical, but the benefits of data analysis are substantial.


TripleBlind is a startup that has developed a powerful solution for privacy enhancing computation. Its software-only solution is easy to integrate and can be applied to a broad range of use cases. Backed by top investors and with a clear focus on industries where privacy is critical, TripleBlind has the potential to revolutionize the way companies approach data privacy.




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