01 / DIAGNOSE
Find where the money goes.
Separate healthy growth from waste. Trace rising costs back to context, retries, tool overhead, and model choices.
A cause, with a dollar value
AI AGENT COST OPTIMIZATION
Lower agent costs.
Same ambition.
Your AI agents should do more, not cost more. Open45 finds wasted spend and turns it into actionable fixes—so you can scale without sacrificing quality.
Free initial review / Talk directly with the founder
Agent spend review
Illustrative exampleMonthly agent spend$24,860/ mo
Last 30 daysWHERE SPEND GETS WASTEDPER MONTH
Growing context$3,420
Unnecessary retries$2,180
Oversized models$1,640
Potential monthly savings$7,240
Every proposed fix gets a quality check.
Find the cause. Fix the waste. Prove the savings.
Built around the traces
you already collect.
LangfuseLangSmithOpenTelemetryLiteLLM
Planned data sources.Your workflow stays yours.
FROM SPEND TO SAVINGS
A smaller bill starts
with a better answer.
Most tools show you what you spent.
We’re building Open45 to help you change it.
Here’s the approach.
02 / PRIORITIZE
Make the right change.
Start with the fixes that matter most: trim context, cap retries, simplify tools, or use a smaller model for a step.
A fix, ranked by potential impact
03 / VERIFY
Keep the quality. Prove the win.
Compare cost per task alongside quality. A smaller bill only counts as progress when your agents still do the job.
Savings you can explain
$5,400recovered during a two-week trialFounder-reported result. Customer details confidential.
THE BILL IS ONLY THE SYMPTOM
Small inefficiencies.
Expensive habits.
Agent costs compound across every step, every retry, every run. We look at the behavior behind the bill.
Let’s look at your spendCost per taskTasks at scaleYour agent bill
Context that keeps growing
The same history, sent again and again. More tokens with every step.
Retries that go nowhere
Failing tool calls and loops that spend more without moving the task forward.
Too much model for the job
Expensive reasoning applied to steps a smaller model could handle.
Tools the agent never uses
Bloated tool definitions carried into calls that don’t need them.
START WITH CLARITY. BUILD TOWARD CONTROL.
From the first review
to every deploy.
We’re starting with hands-on spend reviews.
The goal: make cost control part of how
you build and ship agents.
Understand your spend
Work directly with the founder to investigate your agent costs and identify the next best fixes.
Request a free initial reviewCatch costly changes
A cost gate in CI to flag when a prompt, tool, or model change raises cost without a quality gain.
Before the change shipsTurn findings into fixes
Proposed pull requests with quality-checked changes, followed by proven policies at runtime.
With your team in controlLET’S MAKE EVERY TASK COUNT
More room to build.
Less money wasted.
Running AI agents in production? Let’s find out
what’s driving your spend—and what you can do about it.