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WAVIS FHEaaS

WAVIS makes Fully Homomorphic Encryption (FHE) accessible to any developer. Run computations on encrypted data — the server never sees the plaintext.

Why FHE?

Standard encryption protects data at rest and in transit, but the server must decrypt data before processing it. FHE removes this requirement:
Standard cloud AI:
  Client → encrypt → Server decrypts → computes → re-encrypts → Client

WAVIS FHE:
  Client → encrypt → Server computes on ciphertext → Client decrypts
             ↑ Server sees only encrypted data — always

Use Cases

Medical AI

Run diagnosis models on encrypted patient images. HIPAA-compliant by design.

Financial Privacy

Credit scoring and fraud detection without exposing customer data.

Private Search

Search encrypted indexes — the search provider learns nothing about queries.

Secure Multi-party

Multiple organizations compute joint analytics without sharing raw data.

Quick Demo

import wavis_fhe as wv

keys = wv.keygen()                      # 5 seconds, done once
ct_a = keys.encrypt(True)              # encrypt locally
ct_b = keys.encrypt(False)
ct_result = keys.nand(ct_a, ct_b)      # server computes — sees nothing
print(keys.decrypt(ct_result))         # True

Performance

SetupLatencyNotes
CPU fast_12814 ms/gate128-bit security
CPU standard_12832 ms/gatehigher noise tolerance
GPU batch-128 (BYO GPU)5.2 ms/gatelocal SDK, CUDA-capable GPU, amortized over batch

Next Steps

Quickstart

Get running in 5 minutes

FHE Basics

How TFHE gate bootstrapping works