{"id":31385,"date":"2025-09-02T19:59:12","date_gmt":"2025-09-02T19:59:12","guid":{"rendered":"https:\/\/www.hotelsalepage.com\/feed\/cision-pr-newswire\/desilo-to-launch-harvest-encrypted-data-collaboration-platform-for-healthcare-in-december\/"},"modified":"2025-09-02T19:59:12","modified_gmt":"2025-09-02T19:59:12","slug":"desilo-to-launch-harvest-encrypted-data-collaboration-platform-for-healthcare-in-december","status":"publish","type":"post","link":"https:\/\/thaipropertynews.com\/feeds\/?p=31385","title":{"rendered":"Desilo to Launch “HARVEST\u2122,” Encrypted Data Collaboration Platform for Healthcare, in December"},"content":{"rendered":"

SEOUL, South Korea<\/span><\/span>, Sept. 2, 2025<\/span><\/span> \/PRNewswire\/ — Desilo Inc., a privacy-technology startup specializing in cryptographic data collaboration, announced plans to launch its new healthcare platform, HARVEST\u2122<\/b>, this December. The platform is designed to allow medical institutions and pharmaceutical companies to collaborate on research without exposing sensitive patient data.<\/p>\n

\n

\"HARVEST\u2122 <\/a>
HARVEST\u2122 by Desilo lets healthcare institutions collaborate on analysis and AI training\u2014without ever exposing raw patient data.<\/span><\/p>\n<\/div>\n

Medical research often requires large, multi-institutional datasets, but privacy regulations and security risks have made data sharing difficult. According to IBM, the average cost of a healthcare data breach is $10.93 million<\/span><\/b>, while violations of Europe’s<\/span> GDPR<\/b> can trigger penalties of up to \u20ac20 million<\/b>. Desilo says HARVEST\u2122 addresses this challenge by applying Fully Homomorphic Encryption (FHE)<\/b> and Federated Learning (FL)<\/b> to enable joint analysis and model training while keeping raw data encrypted at all times.<\/p>\n

The company says studies that previously took months could be completed in about a week using HARVEST\u2122, significantly improving research efficiency. The platform supports horizontal and vertical FL<\/b>, split learning, and cohort federation, while automatically managing compliance requirements under GDPR and HIPAA.<\/p>\n

“Pharmaceutical companies and research consortia often face a tradeoff between privacy and progress,” said Seungmyung Lee, Chief Executive of Desilo<\/b>. “Our mission is to shorten research timelines and reduce development costs\u2014ultimately helping accelerate drug development and diagnoses without compromising patient privacy.”<\/p>\n

Desilo’s technology has already drawn attention. The company won first place at iDASH<\/b>, a leading global competition in privacy-preserving genomics, and has developed its own production-grade FHE library. In collaboration with U.S.-based hardware innovator Cornami<\/b>, Desilo also built what it calls the world’s first commercial-scale encrypted large language model, leveraging GPU acceleration to address performance barriers in homomorphic encryption.<\/p>\n

The startup has also been selected for several government-backed initiatives, including Korea’s National Cancer Center Safe Data Zone Project<\/b>.<\/p>\n

Desilo plans to make HARVEST\u2122 generally available in December,\u00a0with early demonstration access available through<\/span> contact@desilo.ai<\/a><\/b>.<\/p>","protected":false},"excerpt":{"rendered":"

<\/p>\n

SEOUL, South Korea<\/span><\/span>, Sept. 2, 2025<\/span><\/span> \/PRNewswire\/ — Desilo Inc., a privacy-technology startup specializing in cryptographic data collaboration, announced plans to launch its new healthcare platform, HARVEST\u2122<\/b>, this December. The platform is designed to allow medical institutions and pharmaceutical companies to collaborate on research without exposing sensitive patient data.<\/p>\n

\n

\"HARVEST\u2122 <\/a>
HARVEST\u2122 by Desilo lets healthcare institutions collaborate on analysis and AI training\u2014without ever exposing raw patient data.<\/span><\/p>\n<\/div>\n

Medical research often requires large, multi-institutional datasets, but privacy regulations and security risks have made data sharing difficult. According to IBM, the average cost of a healthcare data breach is $10.93 million<\/span><\/b>, while violations of Europe’s<\/span> GDPR<\/b> can trigger penalties of up to \u20ac20 million<\/b>. Desilo says HARVEST\u2122 addresses this challenge by applying Fully Homomorphic Encryption (FHE)<\/b> and Federated Learning (FL)<\/b> to enable joint analysis and model training while keeping raw data encrypted at all times.<\/p>\n

The company says studies that previously took months could be completed in about a week using HARVEST\u2122, significantly improving research efficiency. The platform supports horizontal and vertical FL<\/b>, split learning, and cohort federation, while automatically managing compliance requirements under GDPR and HIPAA.<\/p>\n

“Pharmaceutical companies and research consortia often face a tradeoff between privacy and progress,” said Seungmyung Lee, Chief Executive of Desilo<\/b>. “Our mission is to shorten research timelines and reduce development costs\u2014ultimately helping accelerate drug development and diagnoses without compromising patient privacy.”<\/p>\n

Desilo’s technology has already drawn attention. The company won first place at iDASH<\/b>, a leading global competition in privacy-preserving genomics, and has developed its own production-grade FHE library. In collaboration with U.S.-based hardware innovator Cornami<\/b>, Desilo also built what it calls the world’s first commercial-scale encrypted large language model, leveraging GPU acceleration to address performance barriers in homomorphic encryption.<\/p>\n

The startup has also been selected for several government-backed initiatives, including Korea’s National Cancer Center Safe Data Zone Project<\/b>.<\/p>\n

Desilo plans to make HARVEST\u2122 generally available in December,\u00a0with early demonstration access available through<\/span> contact@desilo.ai<\/a><\/b>.<\/p>\n

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