Perfect mix of engineering and cryptography.
We research various topics in the field of Privacy-Enhancing Technologies (PET), with a focus on homomorphic encryption. Our team consists of experienced researchers and highly skilled engineers with strong backgrounds in cryptography, AI technology, software development, and data analysis. Together, we strive to shape the world where data flows freely yet securely.
We are at the forefront of the PET (Privacy-Enhancing Technology) research.
DESILO is dedicated to PET research, with emphasis on Homomorphic Encryption while expanding our focus to Multi-Party Computation, Differential Privacy, Federated Learning, and Zero Knowledge Proof. At the same time, we are exploring Synthetic Data and Trusted Execution Environment (TEE) technologies to broaden our research scope.
PET-specific software architecture.
DESILO delivers a safe, fast, and reliable PET solutions by employing GPU integration, algorithm optimization, software distributed systems, and hardware acceleration for commercial use. We are building our own Python library which combines homomorphic encryption and differential privacy techniques, while developing a hybrid PET technology based on federated learning. We design and develop automation tools and frameworks for applying PET to data analysis and machine learning.
Proprietary cryptography library.
Data analysis pipeline based on PET.
Through our software engineering optimized for PET application, we offer data utilization pipelines and analysis tools, opening up an opportunity to access and analyze a rich variety of sensitive information across different industries. Our team of engineers and data scientists identifies technical requirements to cater to a wide range of analytic scenarios, including event studies, policy evaluations, trend detection, and correlation analysis. We provide comprehensive support throughout the entire data analysis lifecycle, from data acquisition to designing business solutions, selecting models, and deriving actionable insights.