Introducing NemoRouter: Enterprise LLM Gateway for Every Major Provider

The Problem with LLM Access Today

Every team building with AI hits the same wall. You need API keys from OpenAI, Anthropic, Google, Cohere, and a dozen more providers. Each has its own authentication, pricing model, rate limits, and SDK. Your engineers spend weeks writing provider-specific integration code instead of building product features.

Existing solutions force a choice: run a self-hosted open-source proxy and manage everything yourself, or pay an enterprise vendor for a closed-source gateway with opaque pricing. Neither option gives you both transparency and the operational simplicity of a managed platform.

What NemoRouter Does

NemoRouter is an enterprise LLM gateway. We provide a single API endpoint that routes to models across every major provider — OpenAI, Anthropic, Google Vertex AI, Azure OpenAI, AWS Bedrock, Cohere, Mistral, and more.

Your team gets one API key and one bill. No provider configuration, no key management, no cost reconciliation across vendors.

How It Works

NemoRouter sits in front of every model provider as a single managed gateway. Your team manages everything — auth, billing, analytics, team management, and observability — from one dashboard, while every request runs through guardrails, prompt templates, A/B tests, and cost tracking before it is routed to the right provider with automatic load balancing and failover.

You point your code at one endpoint; NemoRouter handles the rest.

Enterprise Features Built In

Multi-Tenancy

Each organization gets isolated resources — API keys, credit balances, budgets, guardrails, and usage analytics — with strict tenant isolation that guarantees zero cross-tenant data leakage.

Credit-Based Billing

Users purchase credits and spend them on API calls. Platform fees are tier-based: 4% for pay-as-you-go, 2% at Tier 2, and 0% at Tier 3. The fee is charged on top at purchase time — you always get 100% of the credits you buy. Spend is tracked accurately and protected against overspend, even under heavy concurrent load.

Guardrails and Prompt Management

Configure safety guardrails at the organization level. They apply automatically to every request, with per-request overrides available via extra_body fields. Prompt templates with version history and A/B testing let your team iterate on prompts without redeploying code.

Capacity Across Every Cloud

NemoRouter manages provider capacity across GCP, Azure, and AWS behind the scenes, with cost analysis and reconciliation built in — so you get reliable throughput and accurate billing without touching provider infrastructure yourself.

Getting Started

Sign up at nemorouter.ai, create your organization, and generate an API key. From there, point any OpenAI-compatible SDK at your NemoRouter endpoint:

import openai

client = openai.OpenAI(
    api_key="sk-nemo-your-key",
    base_url="https://api.nemorouter.ai/v1"
)

response = client.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": "Hello from NemoRouter!"}]
)

No provider keys to manage. No routing logic to write. Just one key, one bill, and access to every model you need.

What Comes Next

We are actively building out SSO integrations, expanded observability dashboards, and deeper analytics for cost optimization. Follow our changelog for updates, and reach out if you want to discuss enterprise deployment options.