cipherflow-fhe/latti-ai
A framework for performing AI model inference on encrypted data.
This platform helps AI developers deploy machine learning models that can process sensitive user data while keeping it encrypted. It takes a standard AI model (like a PyTorch or ONNX file) and automatically converts it into a privacy-preserving inference service. The output is an encrypted AI model ready for deployment, ensuring neither the server nor the user can see the raw data or model details.
Use this if you are an AI developer who needs to run your machine learning models on highly sensitive data (e.g., medical records, financial information) without ever decrypting it on the server.
Not ideal if your AI application does not involve sensitive data requiring end-to-end encryption or if you need to frequently inspect intermediate model results in plaintext.
Stars
12
Forks
—
Language
C++
License
Apache-2.0
Category
Last pushed
Mar 13, 2026
Commits (30d)
0
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Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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