Lower AI bills, same quality

Wide landscape standing in for the many teams, agents and tools one proxy connects.

same quality

To make every AI request cost as little as it can without hurting the answer, by sitting with each team and building a proxy tuned to how it really works.

Our mission

People

Who does what for you

We do the work with you, not hand you a tool. Every engagement has the same roles behind it: someone to read your bill, someone to build and tune the proxy, someone to check quality never drops, and someone to keep the savings coming as usage changes. These are roles, not named people; you meet the engineers on the first call.

Takes the first call and goes through one month of your usage: which tools, teams and models cost what, where the waste is, and the saving to expect. Your point of contact from the first call onward.

Bill reviewer
Reads your bill and finds where the money leaks

Sits with your engineers, learns your tools, agents and workloads, then builds the proxy around them: what to trim, what to cache, which model takes which task. Stays on it until the saving is real.

Proxy engineer
Builds and tunes the proxy for your setup

Reviews your spend by model and task, then writes the rules that trim context, send easy work to cheaper models, cache repeated context and queue jobs that can wait for batch pricing.

Cost engineer
Tunes trimming, routing, caching and batch to cut the bill

Tests every rule on your own work before it goes live and compares the answers with what you get today. Keeps up with what each model does well and what it costs.

Quality checker
Makes sure cheaper never means worse

Owns the month-to-month relationship: reports spend and savings by team, schedules rule reviews as new models and prices arrive, and makes sure changes land without breaking anyone's workflow.

Engagement manager
Keeps the savings coming month after month

Works with your finance lead on the baseline, the monthly report of spend and savings, and budgets with alerts and hard stops so no month can surprise anyone.

Billing and budgets
Explains the bill before and after

Sends every person their key and a short guide for their tool, whether that is Claude Code, Codex, Cursor, an SDK or your own agent harness, and checks the first requests go through.

Onboarding
Gets each tool pointed at the proxy on day one

First response for day-to-day questions: a new joiner, a leaver to revoke, a cap to raise, a rule to adjust, a tool that will not connect. Keeps a record of every change made on your account.

Support
Answers when a key, rule or tool needs changing

why proxen

Why we built Proxen

Person at a desk working with AI tools.

AI bills keep climbing. Coding agents and API calls are billed per token, and most teams send every request to the strongest model, resend long histories on every turn, pay for the same context again and again, and run work that could wait at full price. None of that shows up on the invoice. It just shows up as a bigger number every month.

Gateway products give you the parts and leave the tuning to you. We think the saving is in the tuning. So we sit with your team, learn your whole setup, build a proxy for it and keep tuning it as models, prices and usage change. Same models, same tools, same quality, a much smaller bill. Proxen is built and run by Surehand (surehand.io).

How we work

how we work

We start with your bill

Send one month of usage and we show you where the money goes by tool, team and model, where it leaks, and what we expect to save. It is free, it takes one 30-minute call to walk through, and you decide after.

People at work in a row, each with their own station.

how we work

We sit with you and build the proxy

We learn every tool, agent, model and workload, and which answers have to stay top quality. Then we build a proxy tuned to that setup. Any harness plugs in: Claude Code, Codex, Cursor, your own agents. For most tools it is one base URL change.

Team working together around a table.

how we work

We check quality and keep tuning

Every rule is tested on your own work before it goes live, and you approve it. You get the bill before and after, by team. New models ship and prices change, so we keep adjusting. The rules that were cheapest last quarter may not be this quarter.

A group of colleagues gathered in an office.

Our principles

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Cheaper, never worse

A saving only counts if the answers stay as good. We test every change on your own work, and the log shows which model answered every request.

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Honest numbers

Up to 70-80% is what a tuned proxy can do on the right workload. Your number comes from your own usage, measured against a baseline we agree before we start.

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Your accounts, your data

Everything runs on your company's own API accounts, inside the providers' terms. Prompts are not stored by default. Leave whenever you like and nothing breaks.

Find out what your AI bill should be

Send us one month of usage. We show you where the money leaks and what you can expect to save, for free. Then we pilot on one team.