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Pyte Raises $5 Million for Secure Data Collaboration Solutions

Pyte has raised $5 million for its secure computation platform, bringing the total investment in the company to $12 million. 

Pyte, a startup that provides secure data collaboration solutions for enterprises, on Wednesday announced raising $5 million, which brings the company’s total funding to over $12 million.

The latest investment round was led by Myriad Venture Partners, with participation from Innovation Endeavors, Liberty Mutual Strategic Ventures, and Pillar VC.

Pyte has developed a secure computation platform that enables enterprises to use and collaborate on sensitive data without putting it at risk.

Pyte’s proprietary Secure Multiparty Computation (SMPC) technology makes it easy to run AI or ML computations on encrypted data, without the need to move or decrypt the data. 

The company says this ensures IP safeguards and protection against leaks and sharing.

The latest funding will be used to drive the company’s efforts to commercialize its technology in new industries, particularly highly regulated sectors such as healthcare and financial services. 

“Data is the fuel of digital transformation, but it also comes with challenges of privacy, security, and trust. To maximize the value of its data, organizations must be prepared to share and analyze data with partners, customers, or competitors without compromising these data assets or exposing sensitive information,” said Lynne Schneider, research director, Data as a Service & Data Marketplaces, IDC. 

“Pyte’s solutions, utilizing advanced developments in cryptography, allow companies to pursue data collaboration opportunities with the confidence that the data will not be compromised,” Schneider added.

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Written By

Eduard Kovacs (@EduardKovacs) is a managing 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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