USEncryption

Us Encryption

Information Technology And Services, 3251 Progress Dr, Orlando, Florida, 32826, United States, 1-10 Employees

usencryption.com

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Who is USENCRYPTION

USEncryption unlocks value from confidential data, while maintaining privacy and security. Privacy and security concerns require confidential data to be protected, typically locked in sil...

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  • 3251 Progress Dr, Orlando, Florida, 32826, United States Headquarters: 3251 Progress Dr, Orlando, Florida, 32826, United States
  • 2018 Date Founded: 2018
  • 1-10 Employees: 1-10
  • dollar-icon Revenue: Under $1 Million
  • tech-icon Active Tech Stack: See technologies

industries-icon Industry: Information Technology and Services

SIC SIC Code: 7372 | NAICS Code: 513210 | Show More

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USEncryption Org Chart and Mapping

Employees

Carlos Bañón

Software Engineer, Ai/Ml

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Frequently Asked Questions Regarding USEncryption

Answer: USEncryption's headquarters are located at 3251 Progress Dr, Orlando, Florida, 32826, United States

Answer: USEncryption's official website is https://usencryption.com

Answer: USEncryption's revenue is Under $1 Million

Answer: USEncryption's SIC: 7372

Answer: USEncryption's NAICS: 513210

Answer: USEncryption has 1-10 employees

Answer: USEncryption is in Information Technology and Services

Answer: USEncryption contact info: Phone number: Website: https://usencryption.com

Answer: USEncryption unlocks value from confidential data, while maintaining privacy and security. Privacy and security concerns require confidential data to be protected, typically locked in silos they unintentionally block valuable, even life-saving insights. McKinsey estimates that open data could unlock up to $5 trillion in economic value per annum. We created and patented a new Privacy-Enhancing Technology to process encrypted data, and enable confidential data sharing. The data is shared in encrypted format to allow an untrusted party to extract insights without having to decrypt first. Use cases include training machine learning models on encrypted data, which could feed new AI models with bigger datasets, but not compromise the confidential data in them.

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