Encrypted LLM Inference
Ask Anything. Reveal Nothing.
Deploy GPT-4, Claude, Llama, and custom models on classified and regulated data with zero plaintext exposure. Mathematically-enforced encrypted inference - cloud economics, on-prem security.
Defense and financial institutions cannot use cloud LLMs because prompts expose classified data. Traditional encryption requires decryption before processing - creating an unacceptable security gap.
CypherAI enables zero-trust AI inference with mathematically-enforced privacy. Prompts are encrypted client-side, inference runs on encrypted tensors, and outputs are decrypted only by the user.
Core Capabilities
Why Not Confidential Computing or VPCs?
Confidential Computing (TEEs)
Data is still decrypted inside the enclave. Side-channel attacks, firmware vulnerabilities, and the cloud provider still has physical access. Trust-based, not math-based.
VPC / Isolated Deployments
Data is decrypted during processing. Insiders, admins, and infrastructure operators can access plaintext. Compliance is contractual, not cryptographic.
Industry Applications
Production-Ready Performance
Independent validation of our 400× speedup and production deployment metrics. 100% exact computation with similar latency to standard unencrypted inference. Post-quantum resilient encryption (TFHE).
Head-to-Head Comparison
Standardized 10 Million Record Query (Exact Matching Scenario).
| Solution Library | Latency (ms) | Throughput | Arithmetic Accuracy | Maturity Status |
|---|---|---|---|---|
| Microsoft SEAL | 184,000 ms | 0.005 ops/sec | 100% | RESEARCH |
| OpenFHE | 92,000 ms | 0.01 ops/sec | 100% | ACADEMIC |
| CypherAI Production | 486 ms | 2.1 ops/sec | 100% | PRODUCTION |
Latency Scaling
As database size grows, traditional HE libraries experience exponential overhead. CypherAI maintains sub-second performance even at consumer-scale database sizes.
Latency Comparison (Log Scale ms)
Beyond LLM Inference
The same homomorphic encryption engine that powers encrypted LLM inference extends to search, analytics, biometrics, and multi-party collaboration.
Encrypted Search & Analytics
Fully encrypted search across structured and unstructured data. Zero server-side visibility into query content or results. Deployed with government agency: millions of records, <0.4s query time.
Encrypted AI Training & Inference
Models train and run directly on encrypted data. Protect both training datasets and model intellectual property from exposure to infrastructure hosts. Mathematical guarantees throughout the pipeline.
Encrypted Data Collaboration
Multiple parties collaborate on encrypted data without revealing raw information. Maintain full cryptographic isolation while deriving joint insights - math-enforced, not policy-enforced.
Proven in Production
Millions
Records - <0.4s query
Government Agency
10M
Records - 0.48s latency
Mobile Manufacturer
5M
Templates - 8 faces/sec
National Infrastructure
Billions
Transactions - Zero PII
Tier-1 National Bank
Ask Anything. Reveal Nothing.
Deploy Encrypted LLM Inference in 30 Days
Schedule a technical deep dive with our cryptographic engineering team to discuss your specific performance requirements.