Confidential Inference

Private inference as an API. Pay per token.

Send requests to open-weight models running inside TEEs on our cloud. Your prompts, responses, and model interactions are never visible to us or our infrastructure. Every response includes an attestation proof.

OpenAI-compatible API. Drop-in replacement for existing inference providers. Switch your base URL and get hardware-enforced privacy with no other code changes.

Using the API

Point any OpenAI client at our base URL. Switch the base URL, keep the rest of your code. Every response carries an attestation you can verify.

curl https://api.confidential.ai/v1/chat/completions \
  -H "Authorization: Bearer $CONFIDENTIAL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek-v4-pro",
    "messages": [{"role": "user", "content": "Explain remote attestation in one sentence."}]
  }'

from openai import OpenAI

client = OpenAI(
    base_url="https://api.confidential.ai/v1",
    api_key="$CONFIDENTIAL_API_KEY",
)

resp = client.chat.completions.create(
    model="deepseek-v4-pro",  # any model id from the table above
    messages=[{"role": "user", "content": "Explain remote attestation in one sentence."}],
)
print(resp.choices[0].message.content)

See inference pricing for per-token rates. Model requests: hello@confidential.ai. Confidential inference vs non-confidential inference: 4% lower token throughput, negligible impact on Time to First Token (TTFT).