Technology

Encrypted AI powered by innovations in fully homomorphic encryption (FHE) and hardware acceleration. Unlike traditional FHE systems that are impractically slow, CipherSonic delivers near real-time encrypted inference using a combination of algorithmic optimizations and hardware acceleration.

CipherSonic system architecture diagram Four-layer architecture stack: Enterprise Verticals at the top, then Sensitive Data, CipherSonic Encrypted LLM Inference Layer, and Cloud and Infrastructure Support at the bottom. ENTERPRISE VERTICALS Financial Services Banking & Fintech Healthcare & Life Sciences EHR, Genomics, Clinical Trials Legal & Compliance Contracts, IP Government & Defense Classified Workloads Enterprise SaaS Customer Data SENSITIVE DATA USED FOR AI PII / PCI / Financial Records / Legal Documents / Trade Secrets / Medical Records CIPHERSONIC ENCRYPTED LLM INFERENCE LAYER Optimized FHE Engine / FHE-Friendly Custom Open-Sourced LLMs CLOUD & INFRASTRUCTURE SUPPORT AWS / Azure / GCP / Mithril / Runpod / Lambda
🔒 Encrypted Data
⚡ CipherSonic Encrypted AI Cloud
🔒 Encrypted Result

Data is never decrypted — before, during, or after computation.

🔐 Encrypted Inference

Run AI models directly on encrypted inputs.

🚫 Zero Data Exposure

No plaintext access — ever.

🤝 Safe Third-Party AI

Use external models without risk.

✅ Compliance by Design

Built-in guarantees for regulated data.

Compute on encrypted data without decrypting it. CipherSonic leverages Fully Homomorphic Encryption (FHE) to ensure that sensitive inputs, intermediate computations, and outputs remain protected throughout the AI pipeline.

What this enables
  • AI inference on encrypted data
  • No plaintext exposure to cloud providers or models
  • Strong guarantees for privacy, security, and compliance
  • Safe use of third-party models and AI agents
Why it matters
  • Eliminates data exposure during AI processing, not just at rest or in transit
  • Removes the need to trust cloud providers, infrastructure, or model operators
  • Enables safe use of AI on highly sensitive and regulated data
  • Provides cryptographic guarantees instead of policy-based security controls

FHE is computationally intensive. CipherSonic AI has developed both GPU-based and FPGA-based solutions for accelerating FHE.

⚡ GPU Acceleration
  • High-throughput parallel processing for encrypted tensor operations
  • Optimized for large-scale AI inference
  • Enables practical latency for real-world applications
🔧 FPGA Acceleration
  • Custom pipelines for core FHE primitives (e.g., bootstrapping, key switching)
  • Energy-efficient execution for specialized workloads
  • Fine-grained control over performance and security trade-offs