ONE FINANCIAL LAYER FOR YOUR ENTIRE AI STACK

AI everywhere.
Clarity here.

Keep working directly with every AI model and workflow.
Camaze reads the spend. No proxy. No gateway.

YOUR AI KEEPS RUNNING DIRECTLYINDEPENDENT AI. ONE FINANCIAL VIEW.
Support agent
Direct AI traffic
+$0.93 ◉
OpenAI Models & infrastructure
Coding agent
Direct AI traffic
+$1.12 ✳
Anthropic Models & infrastructure
Internal tools
Direct AI traffic
+$0.86 ◈
Self-hosted GPUs Models & infrastructure
Billing data only
camaze
Read-only billing access
Attributed spendAttributed Forecasts & alertsForecasted Savings opportunitiesOptimized

Alongside your stack.
Outside the request path.

Your existing model connections stay in place Camaze reads spend, not prompts
No proxy or gateway Read-only billing access Your workflows stay independent
5-minute setup · No code changes · No prompt access

YOUR AI STACK. ONE FINANCIAL PICTURE.

Model providers, AI tools, and self-hosted GPUs. Explore all 28 connections

FROM MANY SOURCES TO ONE ANSWER

Your AI universe.
Finally in focus.

From model APIs to tools and GPU time,
understand the whole bill in one place.

Overview Cost allocation Budgets & alerts Savings

Connected read-only
Your systems stay yours.

Workspace overview All sources synced
Total AI spend $151,400 This month to date
Month-end forecast $168,200 Across all providers
Spend over time Actual ••• Forecast
With optimizations ↘
Apr May Jun Jul Aug Sep
$61,900 in identified monthly savings

Illustrative product view · Figures are examples

ATTRIBUTION THAT MAKES SENSE

Follow the dollar.
All the way to the work.

Connect provider spend to teams, workflows and customers. Make AI unit economics a number you can explain.

AI provider Support team Ticket triage
Explore allocation

Day 5.
Not day 31.

Spot the spend spike while you can still do something about it.

Internal agents +64% Owner: Platform engineering
Explore alerts

Forecast with
your eyes open.

Plan a rollout. Model a switch. See where the quarter could land.

With optimizations ↘ Explore forecasting

BUILT AROUND YOUR QUESTIONS

For whoever answers
for the number.

Explain the bill. Defend the budget.

Walk into the boardroom with a complete picture of AI spend, its drivers, and the opportunities ahead.

  • Spend by team and customer
  • A clear view of AI unit economics
  • An itemized savings plan
Explore your use case
AI SPEND · BOARD SUMMARY
One number.
Every answer.
By team
By workflow
By customer

FAST TO CONNECT. EASY TO TRUST.

Your first clear picture.
About five minutes away.

Security & data handling
01

Connect, read-only.

Add billing credentials for your AI providers. No proxy, no code changes, no prompt access.

02

Get the whole picture.

Historical spending backfills automatically. See the total and the work behind it.

03

Put the insight to work.

Review savings, set budgets, and give your next board update a number you can explain.

ANSWERS, UP FRONT

Good questions.
Clear answers.

More on your mind?

Talk to the Camaze team
01What is Camaze?

Camaze is an AI cost management platform built for finance teams. It brings AI spending into one view, attributes costs to teams, workflows and customers, forecasts budgets, and identifies ways to lower costs without reducing AI usage.

02How does Camaze connect to our AI providers?

Camaze uses read-only billing credentials. It runs outside your application’s request path, with no proxy or code changes required. Setup takes about five minutes, and historical billing data backfills automatically.

03Does Camaze read our prompts or change our models?

No. The connection uses billing access, not prompt content. Camaze surfaces recommendations for your team to review; read-only access cannot change your models or spend money.

04Is Camaze useful if we only use one AI provider?

Yes. A single invoice still does not explain which teams, workflows or customers caused the cost. Camaze breaks down that invoice, separates production from evaluation usage, and highlights the drivers behind changes.

05Can Camaze track self-hosted models and AI tools?

Yes. Coverage includes model providers, tools and seats such as Cursor and GitHub Copilot, and self-hosted model costs inside cloud GPU spending. Explore the integrations page for individual connections.

06How much could we save?

Savings depend on your workloads, model choices and pricing. Camaze identifies specific opportunities such as model right-sizing, caching, batching and unnecessary agent retries. Use the savings calculator for an estimate, then validate opportunities against your connected data.

ACCELERATING AI ADOPTION

Less guesswork.
More room to grow.

See what you spend. Find what you could save.
Put the difference into your next great idea.

Request a demo Find your savings
5-minute setup Read-only access No code changes