40% of companies are now spending $10M+ a year on AI — and most of them have no idea if it's worth it. Find out where you stand

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Turn GCP spend into business value

Know what you’re getting from your full AI and cloud investment on Google Cloud Platform.

Visualize and explore all of your Google Cloud spend

CloudZero attributes every Google Cloud dollar, including Vertex AI, Gemini API, and inference workloads, to the team, product, customer, or feature behind it. Every line item gets an owner.

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Cost guardrails built into how engineering actually works

CloudZero’s anomaly detection watches every GCP service, including AI workloads, and alerts the engineers responsible the moment something spikes. Get notified via Slack, email, or Jira, with hour-level context attached.

Measure cost-per-customer for every GCP workload, including AI

CloudZero combines GCP spend data with telemetry to produce unit economics at the customer, product, and AI feature level, the numbers that inform pricing decisions.

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The full picture of your GCP spend, in one place

Every GCP dollar, allocated

Cloud and AI workloads, Compute Engine to Vertex AI, attributed to the team, product, customer, or feature behind the spend. Labels optional.

Stop finding out next month

CloudZero detects GCP anomalies as they happen and alerts the engineers who can fix them. The bill is no longer where you find out.

Unit economics for cloud and AI

CloudZero combines GCP spend data with telemetry to calculate precise cost-per-customer, cost-per-product, and cost-per-AI-feature.

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