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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Get more out of
every dollar you spend on MongoDB

Track MongoDB Atlas spend by cluster, database, and team in near-real time. Build on the developer data platform with confidence. Every cost gets an owner and surfaces before it reaches the bill.

Visualize and explore all of your MongoDB spend

CloudZero’s allocation engine attributes every MongoDB dollar 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

MongoDB Atlas costs climb fast as clusters scale and AI workloads bring vector search and larger storage into the mix. CloudZero detects anomalies in near-real time and routes alerts to the engineer who owns the cluster, collection, or query driving the spend.

Tie every MongoDB dollar to the outcome it produced

CloudZero turns MongoDB 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 MongoDB investment goes

Every MongoDB dollar, allocated

Every cluster hour, vector search index, 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

MongoDB costs can swing hard. CloudZero detects anomalies in near-real time and alerts the engineers who can fix the query, resize the cluster, or rein in the collection causing it.

Unit economics for everything running on MongoDB

CloudZero combines MongoDB spend with telemetry to calculate precise cost-per-customer, cost-per-feature, and cost-per-query, the unit math your data and AI 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