Develops fully homomorphic encryption (FHE) technologies, including the HEaaN Library and HEaaN Private AI, enabling secure data processing and analysis without exposing sensitive information. This addresses privacy concerns in AI and data collaboration by preventing data breaches and ensuring compliance with stringent security standards, even against quantum computing threats.
Funding
$16.4M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Data breaches and unauthorized access pose significant risks when processing and analyzing sensitive data, especially in AI and collaborative environments. Traditional security measures may not suffice against advanced threats, including those from quantum computing. This necessitates methods to ensure data privacy while still enabling computation.
Solution
CryptoLab develops fully homomorphic encryption (FHE) technologies that enable secure computation on encrypted data, ensuring privacy and compliance. Their HEaaN Library and HEaaN Private AI solutions allow organizations to process, analyze, and collaborate on sensitive information without ever exposing the underlying data. By utilizing FHE, data remains encrypted throughout the entire process, mitigating the risk of data breaches and ensuring adherence to stringent security standards. CryptoLab's technologies also address the emerging threat of quantum computing by providing cryptographic solutions resistant to quantum attacks. This enables organizations to leverage the power of AI and data collaboration while maintaining the highest levels of data protection.
Target Audience
CryptoLab's primary customers include organizations in sectors such as finance, healthcare, and government that require secure data processing and collaboration, as well as AI developers seeking privacy-preserving solutions.
Features
- HEaaN Library: A high-performance software library implementing the CKKS scheme for fully homomorphic encryption, optimized for speed, storage, and accuracy.
- HEaaN Private AI: A data analytics solution built on homomorphic encryption, allowing secure analysis and utilization of sensitive data.
- HEaaN PQC: A software toolkit designed to establish a secure data environment resistant to quantum computer threats, safeguarding PKI.
- AutoFHE: A tool to automate the process of implementing FHE in various applications.
- Encrypted LLM Experience: Development tools for encrypted Large Language Models.
- HEaaN.Stat SDK: Development tools for statistical analysis using homomorphic encryption.
- Encrypted Facial Recognition (EFR) system: Powered by Fully Homomorphic Encryption (FHE), enabling facial data to remain encrypted even during the verification process.
- Lattice-based digital signature HAETAE and public-key encryption SMAUG-T: Selected in the Korean Post-Quantum Cryptography Contest (KpqC).