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: use an open-source proxy like LiteLLM and manage everything yourself, or pay an enterprise vendor for a closed-source gateway with opaque pricing. Neither option gives you both the transparency of open source and the operational simplicity of a managed platform.

What NemoRouter Does

NemoRouter is an enterprise LLM gateway built on top of LiteLLM open source. 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.

Three-Service Architecture

NemoRouter runs as three coordinated services:

Frontend Dashboard (:3001) — Next.js application for auth, billing, analytics, team management, and observability. This is where your team manages everything.
Nemo Backend (:8090) — FastAPI proxy that sits between every request. Applies guardrails, prompt templates, A/B tests, and cost tracking before forwarding to LiteLLM.
LiteLLM (:4000) — The open-source routing engine handling provider connections, load balancing, and failover.

Every LLM request flows through all three: Frontend calls Nemo Backend, which applies your org's configuration, then forwards to LiteLLM for provider routing.

Enterprise Features Built In

Multi-Tenancy

Each organization gets isolated resources — API keys, credit balances, budgets, guardrails, and usage analytics. Row Level Security at the database layer ensures zero cross-tenant data leakage. A single UUID flows through all services, eliminating the sync complexity that plagues multi-service architectures.

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. Every request uses a reserve-and-settle pattern to prevent overspend under 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.

Admin Dashboard

An internal admin dashboard provides capacity provisioning across GCP, Azure, and AWS, cost analysis and reconciliation, and Terraform automation for infrastructure management.

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.