We combine breakthroughs in hardware and algorithms to build the next paradigm of encrypted computing.
Our mission is to make encrypted compute, the ability to process data without ever decrypting it, a practical reality.
We combine breakthroughs in hardware and algorithms to build the next paradigm of encrypted computing.
Our mission is to make encrypted compute, the ability to process data without ever decrypting it, a practical reality.
The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.
An FHE IR-to-IR translator for Orion and HEIR. Built with xDSL for MLIR.
HEonGPU is a high-performance library that optimizes Fully Homomorphic Encryption (FHE) on GPUs. Leveraging GPU parallelism, it reduces computational load through concurrent execution. Its multi-stream architecture minimizes data transfer overhead, making it ideal for large-scale encrypted computations with reduced latency.
Database demo of the Leuvenshtein Algorithm
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