LLM Proxy

Your AI requests,
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.

Model requests can run through one governed path. See which provider handled a request, what it cost, how long it took, and whether policy allowed it. Risky requests can be held or blocked before sensitive data is sent.

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

Requests can carry provider, cost, and timing details tied to the agent and team behind them.

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.

Give requests a traceable path, result, and policy reason.