FinOps

FinOps & Cost Optimisation

Kubernetes, Databricks and multi-cloud cost optimisation. Read-only access, fixed scope, and every recommendation reviewed by a person.

What we do

Cut cloud and AI spend without cutting corners

Cost tools show you a number. We show you where it comes from and what to change: idle capacity, oversized requests, missing commitments, untagged spend and AI workloads nobody budgeted for.

Each recommendation comes with the evidence behind it and the effort to implement, so your engineers can act on it with confidence.

  • EKS
  • AKS
  • GKE
  • AWS Cost Explorer
  • Azure Advisor
  • GCP Billing
  • Savings Plans
  • Tagging

Guide: Kubernetes cost optimisation checklist →

Capabilities
  • Kubernetes cost optimisation: pods, node pools, requests and limits (EKS, AKS, GKE)
  • Databricks cost optimisation: idle clusters, pools, job tuning, spot
  • Multi-cloud FinOps: tagging, showback and chargeback
  • Reserved instance and savings plan strategy
  • Rightsizing for VMs, managed databases and search clusters
  • LLM token and GPU spend attribution
How it works

Three steps, no surprises

  1. Collect

    Short-lived, read-only access to billing and utilisation data.

  2. Analyse

    Savings ranked by value and effort, each with evidence.

  3. Act

    A prioritised plan, or we implement it with your team.

Engagements & pricing

Fixed scope. Fixed price.

Every engagement is scoped and priced before work begins. You buy a result, not hours.

Shadow AI & AI Spend Discovery

A read-only look at which AI services are in use, what they cost, and what data reaches them. About 1 week.

About 1 week

FreeNo obligation

Prices in EUR, excluding applicable taxes. USD quotes on request. Never billed hourly.

Not sure where to start?

Tell us your situation. We’ll tell you exactly what you need, with no sales deck.