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LLM gateway

An LLM gateway thatknows your business.

Most LLM gateways are a proxy you wire and babysit. Coworker routes each task to the right model and runs it with your company context, US-hosted. One endpoint, frontier output.

Smart model routing·US-hosted models·Your company context·SOC 2 Type II

Summarize the Q3 board deck
OptimizedRouting…
Ask anything across your tools…

Trusted by teams at

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How it works

A proxy you steer vs a gateway that routes for you

A raw LLM gateway hands you the keys to many models and leaves the routing, context, and compliance to you. Coworker's Optimized mode picks the right model per task and attaches your connected tools, so output stays at frontier quality without you tuning model choice.

01

You ask

Send a task in chat, cowork, or code. No model wiring, no API plumbing.

02

Optimized routes

Coworker selects the right model for the task, from Kimi K2.6 to Claude Opus 4.8, GPT 5.5, or Gemini 3.1 Pro.

03

Context + US hosting

It runs with your company context attached, on US infrastructure under SOC 2 Type II.

Comparison

DIY LLM gateway vs Coworker

Coworker AI
DIY LLM gateway
What it is
Full product: chat, cowork, code, agents
Proxy or router you build on
Routing
Smart routing by task, context attached
Manual or rules you maintain
Model access
Claude, GPT, Gemini, Kimi K2.6 in one place
Whatever you wire up
Hosting location
All models US-hosted
Depends on upstream providers
Company context
50+ connectors + org memory
Build your own retrieval
Compliance
SOC 2 Type II, GDPR, CASA Tier 2
Your responsibility

The right model for every job. No lock-in.

Coworker routes across closed and open models. As better ones ship, your team gets them automatically. No migration. No vendor swap. No re-platforming. All models are hosted in the US.

closed
Anthropic
Sonnet 5Fable 5Opus 5
closed
OpenAI
GPT 5.6 SolGPT 5.6 LunaGPT 5.5
closed
Google
Gemini 3.7 FlashGemini 3.1 Pro
openUS-hosted
Moonshot
Kimi K3Kimi K2.7Kimi K2.6
openUS-hosted
Z.ai
GLM 5.2
Open models cut routine task spend 80%+
01

Pick the model yourself

Engineers and power users get full control over which model handles which task.

02

Or let Coworker pick

The router scores each task across the connected models, then sends it to the one that nails the output.

03

New models, automatic

When a better model ships, your agents start using it. No code changes. No vendor lock-in.

Trusted by world-leading companies.

4.9on G2 · 10 reviews

US-hosted and enterprise-ready

US-hosted models
SOC 2 Type II
GDPR Compliant
CASA Tier 2

FAQ

Frequently asked questions

An LLM gateway is a single entry point that routes requests across multiple language models. Coworker is an LLM gateway with smart routing: it picks the right model per task, attaches your company context, and runs everything on US infrastructure, so you get frontier output without wiring each model yourself.

A raw gateway is a proxy you configure and maintain. Coworker routes by task, attaches your connected tools and org memory to each request, and is a full product (chat, cowork, code, agents) rather than just an API layer.

Optimized smart routing plus Kimi K2.6, Claude Opus 4.8, GPT 5.5, and Gemini 3.1 Pro, with Sonnet, Haiku, and Gemini Flash also available. All US-hosted.

Yes. Smart routing uses the most cost-effective model that still clears your quality bar, so you get frontier-quality output for a fraction of frontier API rates.

Yes. Coworker is SOC 2 Type II, GDPR compliant, and CASA Tier 2, with multi-level IAM, MFA, and end-to-end encryption. Every model runs on US infrastructure.

Book a demo and the team will walk you through Coworker on your own tools and data, then scope the right plan. Pro is $29.99 per user.

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