FinOps teams
Track spend, savings and owners in one place.
Allocation · Savings ledger
Connecting your clouds
One platform for FinOps & Cloud Economics, AI Token Economics and AI Observability & SRE — cutting costs, investigating incidents and protecting AI applications across AWS, Azure, Google Cloud, Oracle Cloud and Kubernetes. Connected read-only in under 60 minutes.
One platform across every cloud you run
Spend this month
$412.0k
of $520k budget
Allocated
94%
to a team
Spend by owner
Cloud FinOps shows which team spends what, catches spikes the day they start and proves every saving on the bill.
Explore Cloud FinOps →Monthly budget
$48.0k
Spent so far
$43.7k
At this pace
over on Oct 28
Cost per request
$0.0041
average, all models
Requests today
1.200M
and counting
Token Economics shows what every AI request costs, by model, app and team, and warns you before a budget runs out.
Explore Token Economics →checkout-api p95 latency412 ms
What the agents checked
AI Observability & SRE maps how your services connect, follows a slowdown to its cause and proposes a fix for approval.
Explore AI Observability & SRE →Collectors only read and send. CloudScore never connects into your network.
Collectors only read and send. CloudScore never connects into your network.
Point clouds, clusters, tools and AI traffic at CloudScore — read-only, in under 60 minutes.
Meet your AI-powered FinOps assistant. Ask questions about your cloud spending in plain English and get instant insights with clear explanations, charts, and tables.
Your cloud costs. Your questions. Intelligent answers.
Recent
Ask Dex
Your FinOps assistant, grounded in the latest scan.
What are the top 10 services contributing to cloud spend?
09:41
Dex AI 09:41
Executive summary
Across the 10 returned services, total cloud spend is $1,397.92. The largest contributor is AmazonECS at $768.48, which alone accounts for 54.97% of the spend, and the top 3 services together make up 94.20%.
Key findings
Analysis
The spend is highly concentrated. AmazonECS, AmazonEC2 and AmazonCloudWatch dominate the returned list, contributing $1,316.81 of $1,397.92. Container and compute capacity are the first places to look for savings; CloudWatch at $124.17 is worth a log-retention review. The remaining seven services together cost $81.11.
Breakdown
Spend by service ($)
Follow up
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Cost explorer
Updated just now
Spend this month
$103.1k
of $120k budget
Forecast
$155k
129% of budget
Anomaly
+$2.1k/day
since Tuesday
Allocated
96%
to an owner
Daily cost · data-pipeline
Shaded: expected range · hover for a day's cost
Top movers · Data team
Cloudscore APP
Spend anomaly · data-pipeline
+$2.1k/day · AWS · since Tuesday
CloudScore Analysis
Finding
Six over-provisioned EC2 instances in data-pipeline, launched Tuesday by the nightly batch job.
Recommended action
Rightsize 6 over-provisioned instances · Estimated $1.4k/day
Cloudscore turns confusing cloud bills into clear owners, causes and savings.
Why teams choose Cloudscore
The cloud bill keeps growing and no one knows why.
→With Cloudscore: See every cost, the team that owns it and what changed.
AI spending is hard to track and easy to overrun.
→With Cloudscore: See what each AI request costs and get warned before a budget runs out.
When something breaks, finding the cause takes hours.
→With Cloudscore: Get the likely cause with the evidence, then fix it with approval.
Savings are promised but never proven.
→With Cloudscore: Track each saving from the first idea to the actual bill.
The gap between the baseline and the optimized spend is exactly what the agents saved. Illustrative figures.
Saved this month
Month-end forecast
Commitment coverage
FinOps & Cloud Economics, AI Token Economics and AI Observability & SRE run in one platform — so finance, engineering and SRE work from the same facts.
Cost efficiency score
Allocation, idle resources and commitments · up 15 in 7 weeks
Policies
Token caching
Repeat prompts · Data science
Budget alert at 90%
AI spend · All teams
Power schedule
Staging · checkout · stops 20:00
Owner approval
Required before every change
Nothing changes until the owner says yes.
Spend by cloud
Last 30 days · $133.9k
Spend allocated to owners
94% of $133.9k · $8.0k still unallocated
Savings ledger · this quarter
Projected and realized savings are tracked separately, with evidence attached.
One set of numbers, with a view made for each team.
1 of 5
Track spend, savings and owners in one place.
Allocation · Savings ledger
Budgets and savings that match the bill.
Budgets · Chargeback
See what to resize or switch off, and who owns it.
Kubernetes · Rightsizing
Costs, value and priorities on one page.
Executive reporting
Size and buy based on real usage.
Topology · Commitments
“Finance and engineering finally argue about decisions instead of whose spreadsheet is right.”
Placeholder testimonial
“We saw what each AI feature cost per request before the invoice landed, and fixed the expensive one first.”
Placeholder testimonial
“The incident map pointed at the lagging replica before we opened a dashboard. We approved the runbook in minutes.”
Placeholder testimonial
Practical thinking on cloud FinOps, token economics and AI observability.
Frequently asked questions.
Under 60 minutes. Clouds connect read-only through guided wizards, Kubernetes via Helm or YAML, hosts with a one-line agent, and AI traffic by pointing your apps at the TokenMind gateway endpoint.
Connect read-only in under 60 minutes and watch the agents find savings, root causes and risks. Tell us about your estate and we'll set up a working session.