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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Datadog

Get more out of every dollar you spend on Datadog

Track Datadog spend by service, host, and team in near-real time. Custom metrics, log indexing, APM hosts, all tied back to the people who own them. Every cost surfaces before it reaches the bill.

Visualize and explore all of your Datadog spend

CloudZero’s allocation engine attributes every Datadog credit to the team, product, or query behind it. When spend has an owner, optimization follows.

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Catch the spike early, before it turns into your bill

Datadog costs move fast, especially as new services and custom metrics multiply. CloudZero detects anomalies in near-real time and routes alerts to the engineers who own the service, host, or custom metric behind the spend.

Tie every Datadog dollar to the outcome it produced

CloudZero turns Datadog spend into the unit economics behind your business. With cost per customer, per product, and per AI feature, any ROI question leads to a clear and precise answer.

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See where your Datadog investment goes

All Datadog spend, allocated

Every warehouse query, Cortex call, and storage charge attributed to the team, product, customer, or feature behind it. CloudZero’s allocation engine works whether your tagging is perfect or barely there.

Discover it now, not next month

Datadog costs can swing hard. CloudZero detects anomalies the moment they happen and alerts the engineers who can fix the service, host, or custom metric causing it.

Unit economics for every Datadog workload

CloudZero combines Datadog spend with telemetry to calculate precise cost-per-customer, cost-per-feature, and cost-per-query, the unit cost metrics your products run on.

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