IT Infrastructure Cost Optimization

We do not charge upfront fees for cost optimisation. Instead, we take a percentage of the savings we achieve for you. If we find nothing to optimise, you pay nothing. This aligns our incentives with yours from day one.

Every engagement begins under NDA. The entire process — from initial analysis to implementation — is confidential.

Why This Matters

Without active management, cloud and infrastructure costs grow silently. Common patterns we encounter:

• Idle resources — Virtual machines, databases, and load balancers left running after migrations or decommissioned projects. We routinely find five- and six-figure annual waste in unused infrastructure.
• Data transfer costs — Multi-cloud and cross-region architectures where egress charges were not modelled during design. Transfer fees alone can reach six figures annually.
• Over-provisioned compute — Kubernetes clusters, GPU instances, and reserved capacity sized for hypothetical peak loads that never materialise.

These are not edge cases. They occur in well-run organisations with competent engineering teams. The issue is rarely negligence — it is a lack of dedicated focus on infrastructure economics.

What We Have Delivered

E-commerce: €35,000 annual savings. A company spending €120,000 on public cloud did not need on-demand flexibility for its backend workloads. We migrated key services to on-premise infrastructure, reducing costs by 29% with no performance degradation.

Fintech: €18,000 annual savings. Misconfigured backups created redundant cloud storage across multiple regions. We consolidated storage, enabled deduplication, and implemented lifecycle policies — reducing storage costs by 40%.

Machine learning: €22,000 annual savings. Over-provisioned GPU instances for model training. We introduced spot instances and optimised scaling logic, lowering monthly compute expenses by 25% and freeing budget for product development.

How the Engagement Works

1. Confidentiality agreement. We sign an NDA before any access or discussion begins.

2. Stakeholder interviews. We meet with your CFO, CTO, and engineering leadership to understand business priorities, infrastructure constraints, and growth plans.

3. Infrastructure analysis. We combine expert review with ML-powered analysis tools to audit every layer — cloud provider billing, compute utilisation, storage, networking, reserved instances, licensing, and on-premise systems. Machine learning models surface spending patterns and anomalies that manual review alone would miss.

4. Findings report. A detailed document outlining each optimisation opportunity, the expected savings, the implementation effort, and any trade-offs.

5. Prioritisation. We work with your team to rank measures by impact and feasibility, aligned with your business objectives.

6. Implementation and verification. We execute the agreed optimisations, verify the savings on your next billing cycle, and provide documentation and training.

Engagement Terms

• No upfront cost. We invest our time in the analysis at our own risk.
• Success-based fee. We earn a percentage of the documented savings we deliver.
• No lock-in. The optimisations we implement are yours. No recurring dependency.
• GDPR-compliant. All analysis is conducted within EU data residency requirements by a German-registered GmbH.

Book a free, no-obligation consultation.