Scale-ups

Cut the AI bill while it is still growing

For growing companies, from ten people to a few hundred, where the AI bill doubles faster than headcount. We sit with your team, build a proxy tuned to how you work and keep tuning it as you grow. Up to 70-80% lower AI cost, same tools, same quality.

+
36
%

Expected rise in monthly AI spend, 2024 to 2025 (CloudZero, 2025)

$
13

Average Claude Code cost per developer per active day (Anthropic, Claude Code docs)

95
%

Off the input price for cache reads on Claude Opus 5.5 and Sonnet 5.5 (Anthropic pricing)

Background texture behind three figures about AI spend growth, cost per developer and cache pricing.

Works with any harness your team already uses

Why Proxen

A proxy that keeps the bill down as the company grows

A scale-up moves fast: ten engineers on coding agents become fifty, a product starts calling models in production, and the AI bill is suddenly a line the board asks about. Fixing the waste now is cheaper than fixing it at five times the size. We build the proxy for the company you are this quarter and retune it next quarter.

Savings that compound as you grow

Rules are set once in the proxy and apply to every key underneath: what to trim, which model takes which task, what to cache, what can wait for batch. Every new hire and every new agent starts on the cheaper setup, so the saving grows with the company instead of depending on habits.

Same quality, checked on your own work

Every rule is tested on your team's own work before it goes live, and you approve it. Hard tasks keep the strongest model. The log shows which model answered every request, so your engineers can check for themselves.

Budgets per team, caps per key

Each team gets a monthly ceiling its lead owns, and each person or agent inside it a cap. Alerts at 80 percent go to the budget owner; the hard stop at 100 is automatic. A runaway agent cannot burn another team's budget, and no month can surprise finance.

What a growing company gets: a smaller bill and room to grow

Savings
Keys
Hosting

what you get

Lower cost per request, from week one

We start with a free review of one month of usage, then build the proxy for your setup: fewer tokens per request, the right model for each task, our cache plus the providers' prompt caching, and batch for work that can wait. You see the bill before and after, by team, tool and model.

Proxen console listing teams and the people and keys inside each.Illustrative example

what you get

A key for every person and every agent

Every person gets their own key, grouped by team, and agents and CI jobs get keys exactly like a person. Each key has a model list, a monthly budget and a hard cap. Issue and revoke keys as part of your joiner and leaver checklist, and see spend per key, so you know where each saving landed.

Proxen console showing monthly spend by team with budget ceilings and alerts.Illustrative example

what you get

Our cloud or yours

Run the proxy in our cloud for the fastest setup, or in your own cloud account when a customer contract or your own policy requires it. Either way your company owns the provider accounts and the keys stay server-side. Logging is metadata only by default, and retention is a setting you choose.

Proxen console showing hosting, logging and retention settings for a company.Illustrative example
Anthropic on gateways

The provider key stays server-side; developers hold gateway credentials instead.

Anthropic, Claude Code documentation on LLM gateways. The supported way to route a team's AI traffic, and how Proxen works.

Further reading

Where AI money goes, with a worked example on public prices

Guide

Many models, one address: the right model for each job

Guide

How working with us goes: bill review, pilot, rollout

Guide

Cutting the AI bill without cutting usage

Guide

Fix the waste now, before the bill is five times bigger

Send us one month of usage. We show you where the money leaks and what you can expect to save. Free.