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FinOps and Cloud cost optimization
We allocate cloud spending to applications, teams or projects using the available breakdown. We define budgets and reviews, then align servers, storage and underused environments with actual usage.
Reduce your Cloud, AI and software costs. Make every resource count.
If your technology bill keeps growing and you cannot see why, we review it with you. We apply FinOps to cloud spending and optimize AI models, licenses and software, measuring savings alongside performance.
- FinOps for Cloud
- Improvements implemented
- Cost and performance measured
From problem to solution
Your bill is growing. Let’s understand why.
Savings start with knowing which resources you use, what you need them for and what is generating cost without adding value.
What is holding you backWhat we resolve
What is holding you backServers sized for a workload you no longer have.
What we resolveResources aligned with actual usage and your application’s requirements.
What is holding you backAI requests become more expensive as your product grows.
What we resolveModels and inference options evaluated for cost, quality and latency.
What is holding you backBills and subscriptions scattered across providers.
What we resolveA clear view of spending and a plan prioritized by its impact.
What we can resolve
Understand your spending. Decide where it adds value.
We apply FinOps to make cloud spending visible, assign ownership and agree budgets. We also review AI inference costs, licenses and software efficiency to prioritize improvements that benefit your operations.
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AI inference costs
We compare cost per task, tokens and GPU time alongside quality and latency. We assess models, routing and billing options to find what fits your application’s actual workload.
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Licenses and subscriptions
We identify overlapping tools, unused licenses and services you no longer need. We assess alternatives and the cost of switching before making a decision.
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Software efficiency
We analyze processes, queries and components that generate unnecessary work. A more efficient application may also need less infrastructure.
What changes for your business
Less unnecessary spending. More room to move forward.
Understand your spending
See which applications, teams or projects drive your bill and who can act on each cost category.
Make technically sound savings
We implement changes and assess their effect on costs and system operation.
Budgets and ongoing reviews
We define budgets, metrics and usage reviews to spot deviations and maintain control as you grow.
How we work
From cost analysis to improvements in production.
Analyze your current situation
We connect billing and usage with services, projects and owners using the available data.
Identify savings opportunities
We prioritize changes by impact, effort and requirements, with agreed budgets and metrics.
Implement improvements
We apply the agreed changes and check that systems still meet their requirements.
Measure and review
We compare cost and performance, review deviations and agree the next improvements and review cadence.
Why Valendra
We trace costs back to the technical decisions behind them.
We connect billing with architecture, code and actual workloads to understand what is worth changing and its likely impact. Bring us in to review your cloud FinOps analysis, optimize AI inference or implement improvements alongside your team. We agree the scope around what you already have covered.
ValendraWhere our engineering can contribute
- Review your Cloud FinOps diagnosis
- Optimize a Cloud or AI workload
- Implement your chosen improvements
- Review spending with your team
The technology behind your savings.
These are the specialties we can contribute to your cost goals. Bring us into one area or combine those needed for the agreed scope.
Your questions, answered
Frequently asked questions about Cloud FinOps and technology costs
Costs, integration, data and operation: practical answers before your next step.
What is FinOps and how does it help manage cloud costs?
FinOps brings engineering, finance and business teams together to manage cloud spending using cost and usage data. Valendra applies it to allocate costs by application, team or project, agree budgets and ownership, and prioritize infrastructure improvements. We assess savings alongside performance and service requirements.
How do you use FinOps to allocate and manage cloud spending?
We start with the cloud provider’s billing and usage breakdowns. We review tagging and the relationships between resources, applications and teams to allocate costs using the available data. We agree ownership, budgets and recurring reviews, then prioritize capacity, scheduling and configuration changes by impact and each service’s requirements.
Is FinOps a one-off audit or an ongoing practice?
We can start with a cloud spending analysis and specific improvements or agree recurring reviews of usage, budgets and results. FinOps involves measuring again and adjusting as demand or cloud services change. Review frequency, deliverables and engagement pricing are defined in the proposal; maintenance and 24/7 coverage are not included automatically.
Which technology costs can you help reduce?
We can review Cloud infrastructure, servers, storage, AI consumption, licenses and applications. We analyze actual resource use and operating requirements to identify unnecessary spending. The scope depends on the systems you use.
How can I reduce Cloud costs without losing performance?
Cloud cost optimization starts by comparing allocated resources with actual workloads, including server capacity, storage and underused services. We adjust configurations and sizing, then verify the agreed performance and availability requirements.
Do I need to change Cloud providers to save money?
Not necessarily. Many improvements can be made with your existing provider by adjusting resources and configurations. If a migration or alternative provider could add value, we explain the expected savings, transition work and limitations before you decide.
Can you optimize the cost of running AI models?
Yes. We evaluate models, token consumption, GPU use and inference options through APIs or dedicated deployments. We assess each option against response quality, latency and the request volume your application needs.
How do you verify that technology spending has actually fallen?
We compare bills, consumption and performance before and after the changes. We account for changes in traffic, workload and requirements to distinguish real technology cost reduction from a simple drop in usage.
What information do you need to analyze Cloud and AI costs?
We start with billing breakdowns, usage metrics and an overview of the architecture and its requirements. We agree on the access needed for the scope, then prioritize savings opportunities and define how to measure the outcome.
How much can my company save through technology cost optimization?
Savings depend on current consumption, architecture and business requirements. We first identify underused resources and viable alternatives, prioritize changes by expected impact and verify savings with comparable data. We do not set a savings percentage before analyzing your environment.
Can I engage you for a FinOps review or a specific optimization?
Yes. We can review an existing diagnosis, investigate an expensive workload or implement specific improvements alongside your team. We can also agree a broader review engagement if needed. The problem, access, deliverables and price of the intervention are defined before work begins.
Let’s find out what is driving your bill.
Tell us which providers, applications or models you use. We review your starting point and define how to identify and measure savings.