Private AI Infrastructure, Your Way

OpenAI-compatible API, hosted private deployments, dedicated infrastructure, on-prem AI, and end-to-end encrypted traffic for teams that need private inference without rewriting their application layer.

Create Private Endpoint View Pricing

Core value

Full data control

Customers decide where inference data is processed and stored, including private cloud and on-prem environments.

Custom compliance

Adapt the deployment model to match industry requirements, internal governance, and customer-specific review processes.

Private API

OpenAI-compatible endpoints stay inside an isolated environment with end-to-end encrypted traffic and scoped access.

Built for

Developers

Need a private endpoint and a familiar API surface.

AI teams

Need isolated runtimes, clearer deployment boundaries, and control.

Enterprise buyers

Need privacy, dedicated infrastructure, and on-prem options.

What it is

Private LLM Gateway

Expose private model inference through an OpenAI-compatible API that teams can integrate without changing their application shape.

What it is

Deployment Flexibility

Start with a hosted private endpoint, upgrade to dedicated infrastructure, or move into a customer-controlled on-prem environment.

What it is

Infrastructure Control

Operate private inference with clearer boundaries around runtime, networking, privacy, and deployment ownership.

Why private infrastructure matters

Control data residency, compliance, and model choice without giving up API compatibility.

Private infrastructure is not only about hosting. It determines where customer data lives, how deployments satisfy industry rules, whether APIs stay isolated, and how easily teams can move between providers or into on-prem environments.

Full data control

Customers decide where their data is processed and stored, including hosted private, private cloud, and fully on-premises deployment paths.

Custom compliance

Adapt the deployment model to meet specific industry requirements such as finance, healthcare, or internal governance controls.

Private API

Expose OpenAI-compatible API endpoints inside a private, isolated environment instead of sending inference traffic through public tools.

No vendor lock-in

Avoid dependence on a single provider by switching between models, runtimes, or vendors as infrastructure and performance needs change.

On-prem deployment

Offer full on-premises or private cloud deployment when teams need maximum data privacy, customer-managed boundaries, and internal-only traffic.

API integration

Integrate through an OpenAI-compatible endpoint instead of adopting a new app layer.

Developers can point their existing workflows at a private endpoint, keep the request format familiar, and change the deployment boundary as their requirements evolve.

OpenAI-compatible request shapeEnd-to-end encrypted trafficPrivate endpoint usage for teams and productsStarter free, then dedicated and on-prem upgrades

Endpoints

POST `/v1/chat/completions`

GET `/v1/models`

Auth Bearer API keys scoped to your deployment.

Security End-to-end encrypted request flow across private API traffic.

cURL example

curl https://acme-private.gateway.neurico.ai/v1/chat/completions \
  -H "Authorization: Bearer nrc_xxxxx.yyyyy" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "mistral-7b",
    "messages": [{"role": "user", "content": "Summarize this architecture"}]
  }'

JavaScript example

const response = await fetch("https://acme-private.gateway.neurico.ai/v1/chat/completions", {
  method: "POST",
  headers: {
    "Authorization": "Bearer nrc_xxxxx.yyyyy",
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    model: "mistral-7b",
    messages: [{ role: "user", content: "Summarize this architecture" }]
  })
});

const data = await response.json();