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Cloud cost intelligence for engineering

Stop explaining your cloud bill.Start owning it.

Understand what changed, find waste, and decide what to fix next. Cloud cost intelligence built for engineering teams.

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FEngineering
Your cloud, in context
Workspace/Overview

Cloud overview

A shared view of your cloud spend.
Last 30 days

Illustrative cloud spend: $187,420 over the last 30 days, with $12.4K in estimated opportunities. AWS accounts for 60%, Google Cloud 26%, and Azure 14% of total spend.

Product preview with illustrative data. Estimates are not verified savings.

One view across your cloud.

  • AWS
  • Google Cloud
  • Microsoft Azure

AWS support is more mature. Google Cloud and Azure coverage is expanding.

Cost visibility

A clear view.
A better place to start.

Bring your cloud spend into one view. See the trend, understand the breakdown, and find the changes worth a closer look.

Follow a cost question

AI explanations

Go from
“what happened?”
to “that makes sense.”

Ask about a change in plain language. Put the services, resources, and cost drivers behind it in context.

The conversation starts with your question.

Illustrative conversation and cost data.

A question to a next step

Ask the question.
Follow the evidence.

Start with the bill. Trace the change to its contributors. Then decide where to look next.

Illustrative workflow. Example commands and cost data.
  • A plain-language question
  • Cost drivers in context
  • A place to investigate
Illustrative opportunities. Estimated savings are not verified savings.

Waste priorities

Less guessing.
A clearer next move.

Review opportunities with their estimated savings and risk in view. Give your team a focused starting point for the work ahead.

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