Stop paying cloud prices for prompts that don't need a model.

Offramp is a drop-in SDK, under 20KB, that resolves the structural share of your LLM traffic — JSON conversion, HTML cleanup, PII redaction, and more — directly on-device instead of hitting your cloud API. Zero backend changes. Cuts token spend 25–40% on day one.

How it works

1. Drop it in

Install Offramp like any other front-end library — npm install or a script tag. No backend code changes, no infrastructure to stand up.

2. It classifies the prompt

A deterministic edge gate checks each request: is this a structural task — formatting, extraction, redaction — or does it genuinely need a frontier model's reasoning?

3. Resolve locally, or fall back

Structural prompts resolve on-device, in local memory — nothing leaves the user's machine. Anything that needs real reasoning falls back to your existing cloud API exactly like before.

100% zero-egress, by architecture

We don't sell security software — we sell a token cost reduction engine. Offramp sits inside your application to optimize, compress, and resolve repetitive or structural prompts directly on the user's device. Because edge resolutions run strictly within local browser memory, zero prompt data leaves the user's machine or crosses a network boundary until a complex query specifically requires your cloud API key.

That's not just a performance story — it's a compliance guarantee. Local resolutions happen in local device RAM with zero external API calls, fully preserving your existing network boundaries and cloud vendor terms.

Pricing

Pay for resolved prompts. No seats, no setup fee.

Free

$0

0 – 1,000 resolved prompts/month

For trying Offramp out or low-volume projects.

Enterprise

Custom

100,000+ resolved prompts/month

Volume pricing, SLAs, and procurement support.

Sign up free

From the blog

Read the blog

Get a free token-leak audit

Tell us roughly how much you're spending on LLM calls, and we'll send back a breakdown of how much of that traffic Offramp could resolve on-device.