Vaultree Encrypted Machine Learning: A New Era of Secure Data Enablement

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Vaultree’s Encrypted Machine Learning (EML) integrates machine learning with Fully Homomorphic Encryption (FHE), enabling computations on encrypted data without exposing sensitive information. This breakthrough ensures enhanced data privacy, regulatory compliance, and secure collaboration across industries. The VENumML framework, powered by Vaultree’s VENumpy, supports a range of machine learning algorithms like linear and logistic regression, time series analysis, and transformers, all optimised for encrypted environments. Despite challenges like high computational demands, Vaultree’s innovations in vector support and GPU acceleration address these hurdles. With applications in healthcare, finance, and law enforcement, Vaultree is redefining privacy-preserving AI, paving the way for secure and scalable machine learning solutions.