Airth turned cloud efficiency into self-funded operations
and budget for innovation.
Targeted improvements across EKS, EC2 and RDS reduced Airth's AWS unit costs and lowered overall cloud spend, even as consumption continued to grow. After the initial ramp, verified recurring savings fully offset the cost of ongoing managed services.
Airth.io's AI-powered platform connects planning, operations, mineral processing and finance so mine operators can find the value in their data. Its vendor- and commodity-agnostic SaaS platform delivers near-real-time data streaming and advanced analytics to a global customer base.
Those data-intensive workloads run on AWS across EKS, EC2 and RDS: a compute-heavy environment where unit-cost efficiency flows straight to the bottom line. Results shown were measured during the first three months of the engagement.
Why self-funding was possible
A growing AWS environment with significant room to improve unit economics.
Growth ahead of visibility
As workloads multiplied, engineering and finance wanted a single view of cost drivers across compute and Kubernetes.
Headroom sized for peaks
Node groups and pod requests provisioned for peak demand left EKS spend on the table between peaks.
Scaling by hand
Capacity could not yet follow demand automatically as workloads rose and fell.
Operations ready to be codified
Infrastructure changes were ready to move into automated, traceable workflows as the platform matured.
How the self-funding model works
Improve cloud efficiency. Use the savings to fund operations. Free capacity for innovation.
Baseline
Fix unit cost at engagement start so savings remain measurable as usage changes.
Improve
Execute EKS, rightsizing, infrastructure-as-code and FinOps improvements.
Verify
Compare actual blended unit cost with the baseline every month.
Reinvest
Apply the lower operating base to fund operations and future growth initiatives.
Results
Lower spend, self-funded operations, capacity preserved.
AWS consumption rose over the first three months while overall spend fell by double digits. Measuring unit cost isolates the savings created by skie.io from Airth's growth.
Financial impact
- Double-digit reduction in AWS spend despite consumption growth
- Approximately 35% lower EC2 unit cost against the engagement baseline
- Roughly 50% lower infrastructure cost across the specific EKS, EC2 and RDS resources addressed
Operational impact
- Managed-services fees fully offset by verified savings after ramp
- Automated scaling, rightsized infrastructure and continuous optimization under Guardian
- Karpenter, GitOps, Terraform and FinOps governance remain as residual value
Business impact
- A lower operating base and a stronger AWS foundation
- Budget and operating capacity preserved for future innovation
- Financial and operational room to pursue automation, AI and growth initiatives
The self-funding proof
Coverage reached full offset in month two and continued in month three.
Month two: fully covered
Verified effective savings reached parity with Guardian fees for the period after the first optimization wave landed.
Month three: 100% covered
Effective savings remained in line with Guardian fees for the period, demonstrating sustained coverage through new actions.
"The impact of skie.io's recommendations was immediate. We saw a significant difference in efficiency and cost, and now have a much more scalable and optimized AWS environment."
F. Erman Koc · CEO/CIO, Airth.ioThe skie.io platform behind the result
Sage finds it. Guardian keeps it. Muse is what the capacity is for.
Continuously identifies, quantifies and prioritizes cloud-efficiency and Well-Architected improvements, then verifies the realized results.
Executes approved improvements, automates ongoing cloud operations and runs the AWS environment, turning Sage recommendations into sustained results.
AI-driven automation agents for the operational work that follows. Not part of this engagement; the capacity it would need is what Airth now has.
What comes next
Self-funded cloud operations create capacity for innovation.
By using recurring cloud savings to offset the cost of ongoing operations, Airth established a lower operating base and a stronger AWS foundation. Airth helps miners extract more value from every ton; skie.io helped Airth do the same with every dollar of cloud spend. That is the bridge from improving and operating the cloud to funding what comes next.
Let your cloud fund what comes next
How much of your operations could your savings cover?
A short, zero-risk assessment establishes your unit-cost baseline and shows where verified savings can offset operations and free budget for automation, AI and growth.