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The AI ROI company for Anthropic

CloudZero turns Anthropic spend into the unit economics behind your business. With cost per customer, per AI feature, and per inference, the ROI question stops being a guess.

Visualize and explore all of your Anthropic spend

CloudZero’s allocation engine attributes every Claude dollar to the customer, product, or feature behind it. When every Claude dollar has an owner, optimization moves from a budget exercise to an engineering decision.

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Catch the spike before it becomes the bill

Claude usage can spike in minutes, faster than monthly bills can show you. CloudZero detects anomalies in near-real time and routes alerts to the engineers who own the prompt, agent, or feature behind the spend.

Tie every Claude call to the outcome it produced

Understanding your cost per customer, per feature, per transaction enables CFOs and finance leaders to judge the investment, not just read the bill.

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See where your Claude investment goes

Know who owns every Claude dollar

Every Claude call gets attributed to the team, project, model, or feature behind it. CloudZero’s allocation engine works whether your tagging is perfect or barely there.

Capture the signal, not the bill

CloudZero continuously ingests and surfaces spend as the work happens. It’s built for AI workloads, custom pricing engines, and any cost source that moves faster than monthly billing cycles.

Unit economics for every Claude feature

CloudZero combines Anthropic spend with telemetry to calculate cost-per-customer, cost-per-feature, and cost-per-transaction, the unit math behind your AI features.

Cost efficiency has never been a more pressing concern as we scale our AI spending. CloudZero was built on the premise that cost efficiency doesn’t have to be a post-facto, outside-in mandate from our finance team, and that it can start with engineers. This puts even more power in our engineers’ hands, giving them a comprehensive, easily actionable list of optimizations, by which they can improve the efficiency value of their AI and infrastructure.

Sharanya Viswanath

Senior Engineering Manager, Duolingo

How Duolingo achieves proactive engineering accountability

As we continue to expand our AI capabilities, understanding the direct correlation between our AI investments and business outcomes is critical. CloudZero has been instrumental in providing the granular visibility we need to optimize our AI infrastructure costs while maintaining our service quality. The enhancements to CloudZero strengthens our ability to make data-driven decisions about AI investments, ensuring we deliver maximum value to our customers while maintaining healthy unit economics.

Josh Collier

A Finance Leader at Superhuman

Used granular allocation to optimize AI infrastructure costs

CloudZero has been a game-changer for us in managing the rapidly growing costs of our AI initiatives. By providing deep visibility into our cloud spending and helping us optimize costs at a granular level, we can focus on scaling our AI solutions without worrying about runaway expenses. It’s not just about saving money — it’s about enabling innovation while maintaining financial accountability and control.

Pete Rubio

Pete Rubio

SVP of Platform and Engineering, Rapid7

Able to innovate with AI while maintaining financial accountability