AI cloud cost optimisation for AWS, Azure and Google Cloud
Cut your cloud bill
without slowing your engineers.
See exactly where every cloud dollar goes. AI finds idle and oversized resources, plans commitments, warns you before spikes and allocates cost to every team. Read-only access, with engineers in control of every change.
Cloud bill · Example estate · AWS + GCP · October
$46,320/ month
- Idle dev environments running nights and weekends$4,080Schedule off
- Oversized database (avg CPU 9%)$2,520Rightsize
- Unattached disks and old snapshots (412)$1,560Clean up
- On-demand instances running 24x7$4,320Commit
- Data transfer between regions$960Review architecture
Read-only role
No agents to install, no write permissions requested.
AWS, Azure, Google Cloud
Plus Kubernetes cost by namespace, label and workload.
First report in a day
Most estates are analysed within 24 hours of connecting.
Engineers decide
Every suggestion shows its evidence and its risk.
Spend Map
Every dollar, mapped to the people who spend it.
One view of AWS, Azure and Google Cloud spend by account, service, team, product, environment and customer. We use your tags, and where tags are missing our allocation rules fill the gaps using account structure, resource names and Kubernetes labels.
Explore Spend Map- Tag coverage score with the exact untagged resources
- Kubernetes cost by cluster, namespace and workload
- Amortised and blended views that match finance reports
AI Waste Finder and Rightsizing Lab
The waste everyone else missed, with the evidence attached.
AI reads 30 to 90 days of usage for every resource and flags what is idle, oversized, unattached or forgotten. Each finding carries the metrics behind it and a risk level, so an engineer can approve it in minutes instead of investigating for a day.
Budget Guard
Hear about the spike on day one, not on invoice day.
Budgets per team, product or account, a forecast that updates daily and anomaly alerts that explain the cause.
See Budget GuardCommitment Planner
Commit to the floor of your usage, never the peak.
Savings Plans, Reserved Instances, Azure reservations and Google committed use discounts, sized from hourly usage so they stay fully used.
See Commitment PlannerTeam Chargeback
Each team sees its own bill, and shared costs are split fairly.
Allocate spend to teams, products and customers. Shared clusters, networking and support plans are split with rules everyone can read, so finance and engineering stop arguing about the number.
See Team Chargeback- Split shared costs by usage, requests or fixed ratios
- Cost per customer and per product for unit economics
- Monthly statements each team lead can sign off
Savings Reports
Savings you can show the CFO, measured from real invoices.
Every suggestion moves from found to approved to realised. Realised savings are taken from the bill after the change ships, so the number holds up in a board pack.
How it works
From storm to clear sky in four steps.
- 01
Connect read-only
Deploy our read-only role with CloudFormation, Bicep or Terraform and share the billing export. About 15 minutes.
- 02
Get the first report
Within a day you see your Spend Map, tag coverage and a ranked list of savings with evidence.
- 03
Engineers approve
Owners accept, snooze or reject each finding. Accepted items become tickets in Jira or your own tracker.
- 04
Savings are measured
After a change ships, we measure the saving from the next bill and add it to the monthly report.
Responsible AI and security
Built to be trusted with the bill, not the keys.
Read-only, always
We never change, stop or delete resources. The role we ask for cannot.
Evidence on every finding
Each AI suggestion shows the metrics, time window and risk level behind it.
Estimates stay estimates
Realised savings come only from your actual bills after a change.
Your data stays yours
Billing and usage data is encrypted in transit and at rest and never sold.
Questions
What engineering and finance teams ask first.
Still curious about something specific to your estate? Our team will walk through it with you.
Contact usDo you change our infrastructure?
No. Access is read-only. We never change, stop or delete a resource. Your engineers review each suggestion and make the change through their own tools, pipelines and approvals.
Which clouds are supported?
AWS, Microsoft Azure and Google Cloud. You can connect several accounts, subscriptions and projects across clouds and see them in one Spend Map.
How fast do we see results?
The first savings report is usually ready within a day of connecting. Larger estates with many accounts can take up to 48 hours for the first full analysis.
Does it work with Kubernetes?
Yes. EKS, AKS and GKE costs are broken down by cluster, namespace, label and workload, and shared node costs are split by CPU and memory requests or actual usage.
Is our data safe?
We read billing exports and usage metrics only, never application data. Data is encrypted in transit and at rest, access is limited to named staff, and your data is never sold or shared.
How long does setup take?
About 15 minutes. You deploy a read-only role with the template we provide (CloudFormation, Bicep or Terraform), point us at the billing export and we start analysing.
How are savings measured?
Estimates are shown as estimates. Realised savings are measured from your actual invoices after a change ships, compared with the cost of the same workload before the change.
Find your savings free.
Read-only connection · First report usually within a day · No card needed for the report