We cut your Google Cloud bill and keep it cut. Independent, vendor neutral, and on your side of the table against the spend. Pay a fixed fee, or pay us only from what we save you. 31% average reduction across 500+ environments.
Google Cloud cost optimization is rarely a tooling problem. Google gives you the Recommender, Active Assist and a detailed billing export. The problem is sequence, ownership and follow-through: knowing which lever to pull first, in which order, and making the savings stick after the project ends. That is what we do.
A typical Google Cloud bill carries around a third in waste: oversized Compute Engine VMs, idle Cloud SQL, untiered Cloud Storage, BigQuery queries scanning far more than they need, and commitments bought on a bloated baseline. Internal teams know this but rarely have the time or the independent mandate to fix it across every project. We bring both, plus the commitment math and the negotiation leverage that come from optimizing more than 500 environments since 2019.
We run every Google Cloud engagement through the same four steps. It maps to the FinOps phases of Inform, Optimize and Operate, with Lock as the governance step that keeps savings from drifting back.
We stand up the BigQuery billing export, fix labels and the project hierarchy, and map every dollar to an owner. You cannot cut what you cannot trace.
Rightsize VMs with Recommender, move batch to Spot, clear idle disks and IPs, tier Cloud Storage, tune BigQuery and GKE. Then, and only then, commit.
Budgets, anomaly alerts and guardrails so a new project does not undo the work. Commitments structured on the rightsized baseline.
Continuous monitoring, fresh CUDs as the fleet changes, and a unit cost that keeps falling as you scale on Google Cloud.
BigQuery billing export, allocation by label and project, and a clear baseline you can measure savings against.
Compute Engine, Cloud SQL, persistent disks and idle resource cleanup using Recommender and Active Assist.
Resource-based and spend-based CUD strategy, sized on a clean fleet, plus enterprise agreement and discount review.
BigQuery editions versus on-demand, query and storage tuning, and GKE Autopilot, Spot and bin packing.
Cloud Storage class and lifecycle policies, inter-region and egress modeling to remove networking surprises.
Budgets, alerts, logging cost control, and forecasting so the savings hold after we leave.
You choose the model that fits your risk appetite. The performance fee is the differentiator: if we save you nothing, you pay nothing, because we carry the risk.
A defined price for a defined scope. Best when you want a known cost and a clear deliverable.
We are paid from realized savings only. We carry the risk, so our incentive is your bill going down.
We run it continuously: monitoring, fresh commitments, anomaly response, monthly reviews.
Book a GCP cost audit. We will read your billing export, size the opportunity, and show you what we would cut and how. No obligation, and no fee unless you choose the fixed model.
Book a GCP cost audit →See the approach proven out in our case study, media streaming on Google Cloud, where BigQuery editions, CDN egress and GKE Spot drove the reduction. For the full method, read the complete guide to Google Cloud cost optimization and download the Google Cloud Cost Optimization Field Guide. If you run Kubernetes on GCP, pair this with our GKE cost optimization guide.
New commitment instruments, FOCUS changes, hyperscaler pricing shifts, and the plays that actually move a bill. No schedule, no filler.