Sovereign encrypted AI inference
Problem
Business applications consuming LLMs send prompts in cleartext to US APIs (OpenAI, Anthropic) or to poorly isolated internal endpoints. Open models (Llama, Mistral) deployed on-premise lack dedicated hardware acceleration, and model weights are unprotected from exfiltration. No solution PQC-encrypts prompts + models + outputs end-to-end.
CryptOps Solution
AllEyes Resilient is a sovereign AI inference appliance: PQC-encrypted prompts in transit, models decrypted only inside the GPU (SEV-SNP), FPGA runs a custom inference accelerator (KV-cache, speculative decoding), and CPU cores orchestrate model serving + batching with per-request ML-DSA-87 audit.
Deployment architecture
Key metrics
ROI analysis
| Item | Before | With CryptOps | Impact |
|---|---|---|---|
| US LLM API | Outside EU, Cloud Act | Sovereign on-premise | Compliance |
| Model exfiltration | Possible via external cloud | Model in-TEE only | IP protected |
| Cost per token | $5-15/M tokens API | Hardware amortized 18 months | -70% TCO |
Applicable regulation
Adversarial evaluation, cybersecurity and oversight of systemic models — TEE required for sensitive weights.
AI-prediction traceability, right to object, auditability.
De facto prohibition on sending personal data to US AI APIs.
Target clients
Data processing on the same appliance
Beyond post-quantum encryption, every AllEyes Resilient appliance hosts your data-processing workloads on its FPGA, CPU and GPU resources — all isolated from the certified crypto core.
Secure your infrastructure today
Our team will guide you through the deployment tailored to your use case.