Confidential Compute · LLMs in a TEE
When data can't leave, we run LLMs inside a Trusted Execution Environment: encrypted in use, verifiable, never exposed to the provider or to us.
A TEE (Trusted Execution Environment) is an isolated, sealed zone inside the processor. Code and data that enter it stay encrypted while in use, not just when stored or in transit. Neither the operating system, nor the cloud provider, nor someone with physical access to the machine can see what happens inside.
Applied to AI: the model runs inside that enclave. Your data is decrypted only there, processed, and the result comes out. The raw information is never exposed to the host, the infrastructure operator, or us. Before sending anything, you can cryptographically verify (remote attestation) that the enclave is genuine and running exactly the expected code, not a modified version.
Think of it as a tamper-proof armored glass box: you can verify it's the right box, and that what's supposed to be inside is inside, before you put your secret in. If anyone opens or alters it, it stops validating.
Spec sheet
- Includes
- LLM inference inside the enclave, data encryption in use, remote attestation before processing, and key management so only you can open the result.
- Hardware
- CPU with Intel TDX or AMD SEV-SNP and, for accelerated inference, NVIDIA GPUs with confidential computing (H100/H200).
- Who it's for
- Organizations that need sensitive data (legal, medical, financial, credentials) to pass through AI models without handing it to the provider.
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