Visibility and control for AI spend
Get control of your AI spend.
Brixo shows you exactly where your team's AI spend goes — across every tool, model, and engineer — so you can finally see it, understand it, and stay ahead of it.
Brixo has mapped $0 in AI spend across 0 teams.
Everyone's feeling it
The bills are getting absurd.
Drag to explore. Real conversations from teams watching their AI spend climb.
The problem
The spend isn't the problem. Not seeing it is.
$18,000 a month, six months unnoticed.
One team burned that on context thrashing — starting new sessions instead of continuing them — for half a year. The spend wasn't the surprise. The fact that nobody could see it was.
Token costs above payroll.
A dev team was spending more on Codex per month than the team's salary line, and no one inside the org had a number for it until someone went looking.
112,000 tokens to say “hi.”
A single greeting in Codex pulled the full session context. Two letters, a six-figure token cost, and zero visibility into why.
Most teams can't answer a basic question: where did our AI spend actually go, by whom, on what, and is it working? Brixo answers it.
Why Brixo
AI pricing is complex on purpose. Token economics, cached versus uncached input, reasoning tokens, per-seat fees stacked on per-token fees. The providers benefit from the confusion. Their customers do not.
Brixo exists to give teams the visibility and control they don't get from the providers. We pull every dollar of AI spend into one view, show you exactly where it goes, and flag where you can do better — on your terms.
The models are great. Knowing what they cost you shouldn't be this hard.
Objections & FAQ
The usual pushback.
Cloud cost tools weren't built for token economics, prompt optimization, or multi-model routing. The tools that work for AWS don't work for this.