Hardware encrypted inference.

No logs. No limits.

An encrypted AI gateway for every model. Drop-in OpenAI SDK replacement with zero data retention.

Integration

Secure computation, end-to-end

Inference leading LLMs run inside verifiably secure runtimes, powered by Intel TDX and NVIDIA Confidential Computing architectures.

inference.ts
1import OpenAI from "openai"
2
3const zima = new OpenAI({
4  baseURL: "https://www.zima.chat/api/v1",
5  apiKey: process.env.ZIMA_KEY,
6})
7
8const response = await zima.chat.completions.create({
9  model: "qwen3-next-80B-a3B-instruct",
10  messages: [{ role: "user", content: "..." }],
11})
12
13// encrypted in hardware. zero data retained.
www.zima.chat

#Architecture

Verified Inference Path

From SDK request to protected output, without storing prompts or responses.

#Models

Model Pricing

Provider costs passed through at-rate. Zero markup.

ModelProviderInput / 1MOutput / 1M
GPT-4oOpenAI$2.50$10.00
Claude Sonnet 4Anthropic$3.00$15.00
Gemini 2.5 ProGoogle$1.25$5.00
Llama 3.1 70BMeta$0.50$0.75
Mistral LargeMistral$2.00$6.00

Your prompts never leave the enclave

Intel TDX + NVIDIA confidential compute — data encrypted in memory, sealed from host infrastructure.

Even we can't read it.

1 / 5

“We evaluated six AI gateways. Zima was the only one where our security team signed off without a single objection.”

Sarah Chen

VP Engineering, Meridian Health

#FAQ

Frequently asked questions

Security, compatibility, and pricing.

No. Requests exist only for the duration of execution inside the enclave. No prompts, outputs, metadata, or logs are persisted. This is enforced by hardware, not policy.

Access is blocked immediately. If the system cannot cryptographically verify that the runtime environment is running approved, unmodified software, no data is processed.

Yes. Zima uses the chat/completions format. Point your existing OpenAI SDK at our base URL and it works — same request shape, same response shape, zero retention.

Every model in the catalog is labeled with its security tier. TEE-hosted models run entirely inside hardware enclaves. Proxied models are routed through encrypted transit but execute on the provider’s infrastructure.

Per-token, per-model, pay-as-you-go. No platform fees, no hidden tiers, no commitments. Pricing is displayed on every model card before you send a request.

Get Started

Start encrypting your inference today.

Point the OpenAI SDK at Zima, keep model choice and pricing visibility, and move sensitive traffic into attested hardware.