How Metomic aligned finance and engineering to achieve 19.5% cloud savings in 90 days

The challenge

Before Cloud Capital, AWS spend was one of the least predictable items on Metomic’s P&L. For a data-security company, fragmented visibility into cloud operations limited both cost control and forecasting confidence.

Engineering was focused on product and analytics initiatives, not cost management. Each service had distinct workloads and usage patterns, making it hard to see where commitments could safely apply. As the platform expanded, cloud spend grew faster than Metomic’s ability to manage it or connect it to financial forecasts.

‍

Business impact

Cloud Capital gave Metomic more than a lower AWS bill. It provided a financial model that links spend directly to business growth. The 19.5% savings achieved through new commitments flowed straight into margins while engineering remained free to focus on the roadmap.

“We see spend predictability as part of operational security, ensuring the business scales responsibly without introducing financial or infrastructure risk.” — Ben van Enckevort, CTO & co-founder at Metomic

What had once been a reactive, engineer-driven effort to monitor usage is now a predictable monthly review. Cloud Capital’s platform manages commitments, tracks utilization, and provides automated forecasts, reducing the engineering team’s cost-management workload to just 30 minutes per month.

Cloud Capital’s forecasting tools also connected AWS usage to Metomic’s FP&A model, making gross-margin planning as predictable as any core expense. Finance and engineering now share one view of cloud economics that both teams trust.

“Before, we were making commitment calls with a lot of guesswork. Now we can see the data clearly and make decisions with confidence, freeing our team to focus on the product.” — Morgan Collins, VP of Engineering at Metomic

‍

Inside the model

Cloud Capital integrated directly into Metomic’s AWS Organization, mapping spend across production, staging, and regional deployments. Forecasts were built to link committable and non-committable services. Tags and cost layers aligned usage to products and teams, giving finance a transparent allocation view.

Execution was fully automated. Cloud Capital managed commitments and absorbed all utilization risk under the commercial agreement. Coverage increased steadily and savings scaled as new workloads came online. The model fit seamlessly within Metomic’s AWS environment and compliance standards, requiring no engineering intervention or architectural changes.

Just as Metomic helps customers gain visibility and control over SaaS data, they applied the same discipline to their own cloud infrastructure. Partnering with Cloud Capital helped Metomic standardize spend governance, aligning engineering, finance, and compliance under one auditable model.

Together, Metomic and Cloud Capital reframed cloud from an unpredictable expense into a governed financial driver that supports growth, discipline, and confidence across the business.