Desilo to Launch "HARVEST™," Encrypted Data Collaboration Platform for Healthcare, in December
Tuesday, 2 September 2025 ()
SEOUL, South Korea, Sept. 2, 2025 /PRNewswire/ -- Desilo Inc., a privacy-technology startup specializing in cryptographic data collaboration, announced plans to launch its new healthcare platform, *HARVEST™*, this December. The platform is designed to allow medical institutions and pharmaceutical companies to collaborate on research without exposing sensitive patient data.HARVEST™ by Desilo lets healthcare institutions collaborate on analysis and AI training—without ever exposing raw patient data.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*, while violations of Europe's *GDPR* can trigger penalties of up to *€20 million*. Desilo says HARVEST™ addresses this challenge by applying *Fully Homomorphic Encryption (FHE)* and *Federated Learning (FL)* to enable joint analysis and model training while keeping raw data encrypted at all times.
The company says studies that previously took months could be completed in about a week using HARVEST™, significantly improving research efficiency. The platform supports horizontal and vertical *FL*, split learning, and cohort federation, while automatically managing compliance requirements under GDPR and HIPAA.
"Pharmaceutical companies and research consortia often face a tradeoff between privacy and progress," said *Seungmyung Lee, Chief Executive of Desilo*. "Our mission is to shorten research timelines and reduce development costs—ultimately helping accelerate drug development and diagnoses without compromising patient privacy."
Desilo's technology has already drawn attention. The company won *first place at iDASH*, 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*, 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.
The startup has also been selected for several government-backed initiatives, including Korea's *National Cancer Center Safe Data Zone Project*.
Desilo plans to make HARVEST™ generally available in December, with early demonstration access available through *contact@desilo.ai*.
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