Beta

Koeo inference runtime

If you know the OpenAI API, you already know Koeo.

A managed inference runtime that turns your models into reliable APIs. Same client libraries, just point to a different endpoint.

What KOEO is

An inference-first runtime for AI applications

Think of it as serverless, but only for model inference:

  • Send requests. Get responses. That's it.
  • No VMs to provision, no drivers to install.
  • Capacity scales with your traffic automatically.
  • You stay focused on prompts and product.
Your App
Runtime
GPU Network
→ Sending request...

Who it's for

Built for teams shipping AI

If you already know how to call the OpenAI API, you are in the right place.

AI Startups

Ship features, not infrastructure. Stop spinning up GPU boxes for every new capability.

Product & Platform Teams

Add AI to your product with a predictable API, not a sidecar VM you have to babysit.

ML Teams & Consultants

Your model works. Now serve it to real users without building a deployment pipeline.

Research Labs & Universities

Serve models to internal tools and research workflows without building deployment infrastructure.

Why KOEO

Why teams use Koeo instead of raw GPUs

01

Runtime, not raw hardware

GPU clouds rent you machines. Koeo gives you inference as a service.

  • No VM setup or driver management
  • No custom routing or queueing to build
  • Built-in health checks and failover
Requests incoming
GPU 0
GPU 1
GPU 2
GPU 3
Managed by KOEO
● Routing request...
02

Resilient by default

The runtime monitors GPU health and routes around problems automatically.

  • Unhealthy nodes get bypassed instantly
  • Load spikes don't take down your app
  • Swap hardware or providers without code changes
03

Zero migration friction

Already using OpenAI? Change two lines—baseURL and apiKey—and you're on Koeo.

  • Same client libraries you already use
  • Same request and response shapes
  • Run both in parallel while you evaluate
config.ts
1const client = new OpenAI({
2 baseURL: "api.openai.com",
3 apiKey: process.env.OPENAI_KEY,
4});
5// Everything else stays the same!
Current: OpenAI

How it works

From signup to production in minutes

1

Get an API key

Sign up and generate a key in the console. Takes about 30 seconds.

2

Swap your base URL

Point your existing OpenAI client to Koeo. Two lines: baseURL and apiKey.

3

Send requests

The runtime handles authentication, routing, and failover. You just get responses.

4

Monitor in the console

Track usage, latency, and errors. Know when something needs attention.

index.ts
// OpenAI → Koeo: just change baseURL and apiKey
const client = new OpenAI({
apiKey: "koeo_***",// ← was sk-***
baseURL: "https://api.koeo.ai/v1",// ← was https://api.openai.com/v1
});
const response = await client.chat.completions.create({
model: "koeo/your-model",
messages: [{ role: "user", content: "Hello" }],
});
Sample UI
Koeo Console
All systems operational
Requests/min
2,847
↑ 12%
Avg Latency
142ms
↓ 8%
GPU Nodes
24
Online

Supported in beta

What's available today

Current capabilities in the beta program

  • OpenAI-compatible chat completions API
  • Streaming and non-streaming responses
  • Open source and fine-tuned model hosting
  • Automatic failover and load balancing
  • Usage tracking and monitoring dashboard
  • API key management

More capabilities are being added regularly. Join the beta to stay updated.

Get your API key in 30 seconds

Join the beta and see how it feels. No commitment, no credit card required.