LLM Proxy

Every AI request,
on one path you control.

Your agents send requests to AI models all day. Iron Gorilla routes them through one path you control — so you can see what each one cost, how fast it was, and stop the risky ones before any data leaves.

How it works

A request to an AI model shouldn’t be a mystery.

Every model request runs through one governed path. You see which provider handled it, what it cost, how long it took, and whether it was allowed — and a risky request is stopped before any sensitive data leaves the building.

Product Walkthrough

See it for yourself.

This is the real product, running on sample data. Click through the guided walkthrough to see how it works.

One path to inspect

All model traffic moves through a single route you can actually look at.

Cost and speed, in context

Every request carries its provider, cost, and timing — tied to the agent and team behind it.

Stopped before exposure

Risky requests are held at the gate before sensitive data ever leaves.

Why it matters

What this changes once the work gets real.

Routing you decide

Which providers are used, and what happens when one fails, follow your rules — not a vendor’s default.

Spend you can explain

Cost is tied to agents, teams, and work — not just one line on an invoice.

Blocks you can review

A denied request stays on the record, with its reason, without forwarding the data.

Use the best model for the work, and keep the receipt.

Every request has a path, a result, and a reason you can point to.