cloudverse
For FinOps Teams

The invoice is on time. The explanation isn't. We fix that.

Explainability, allocation, and forecasts finance can defend, across cloud, AI, and data, with AI turned into unit economics.

The situation

Accurate to the cent, and still unexplained.

Your dashboards are accurate and your recommendations get ignored, because they don't reach the person who can act, with the context to act on.

And now AI spend is landing in places where the value isn't quantified yet. One model across infrastructure, data, and AI is the only way the numbers reconcile.

Variance *
+$42,180 this month
Explanation *
GPU autoscale, EU region
Attributed to
Owner *
Was unassigned…
ML Platform team
Data Engineering
Finance ops
Unassigned
The cost of the gap

What the gap costs finance every month.

  • Days spent reconstructing a month-on-month variance by hand.
  • Shared spend split with a spreadsheet, chargeback that falls apart under scrutiny.
  • Forecasts that hold for a quarter, then drift.
  • AI and GPU spend on the bill with no unit economics attached.
  • Cloud, AI, data, and engineering each priced in a different tool, never on one model.
What you ship

What FinOps teams ship faster with CloudVerse.

finops.app/allocation
TeamsServicesEnv
TeamShareCost
Engineering
46%
$84.2k
Data
28%
$51.3k
Platform
18%
$33.0k
Shared
8%
$14.7k

Allocation everyone agrees on

Shared spend mapped to teams, products, and environments automatically. Chargeback that survives an audit.

finops.app/anomalies
Cost anomalies · last 24hteam:data-eng · svc:BigQuery
20K10K0Spike +$3,240

Anomalies with attribution

A spike arrives with the team and the charge already attached.

finops.app/commitments
Commitment coverage 7.4 mo payback
Reserved Inst.Active72% · $46k
Savings PlansActive64% · $31k
CUDsExpiring58% · $19k

Commitments with payback proof

RIs, SPs, and CUDs with realized payback tracked, not assumed.

finops.app/chargeback
Business unitStatusNet + tax
EMEAReconciled€12.4k
APACReconciled¥9.8k
AmericasReconciled$21.1k
Total reconciled$43.3k

Audit-ready chargeback

Multi-currency, reconciled to source billing.

How it works

How allocation and chargeback
actually run.

Read the docs

CloudVerse connects your cloud, AI, and data billing read-only, maps shared spend with virtual tags, and traces every variance to a driver and an owner.

Anomalies arrive with the charge attached, chargeback reconciles to source billing, and forecasts run on the model finance signs off on.

Trigger
Running
Completed
When a new deal is created

Trigger when a new deal record is created.

Running
Completed
Web Agent

Enrich the record with web research.

Running
Completed
Custom Agent

Score the lead and route to the right AE.

Running
Completed
Add to Enterprise target list

Route lead to Enterprise and draft outreach.

Running
Completed
Add to SMB target list

Route lead to SMB and draft outreach.

Customer proof

How Berkshire Hathaway HomeServices recovered $738,983.

A growing AWS estate, fragmented tagging, and no team-level attribution. CloudVerse tied spend to teams, surfaced the anomalies that mattered, and gave finance a model that held up under review.

$738,983

realized in total

$101,736

recurring, per year

$61,582

in a single month

Connect your K8s cluster
Step 1 of 2
EKS
GKE
AKS
OpenShift
on AWS
Anywhere
any Cloud or On-Prem
Select current autoscaling tool
KKarpenter
Other
Potential savings41% cluster cost
$545,341 /mo
Current cluster cost$123,200
Optimal cluster cost$72,922
The difference

What a dashboard can't do.

Dashboards explain the invoice. CloudVerse governs the decisions that shape it: PR-level checks in engineering workflows, AI and GPU economics, and warehouse query attribution. All on one model.

CloudverseLogs
WorkspaceOrganisation
Search Filter
TimestampTrace ID
Apr 30, 03:36:58 AM9c89c525-fdf8-4fce-bb94-fd2814
Apr 30, 03:36:56 AM634ff4bf-04b9-4c60-b69f-9363c6
Apr 30, 03:36:47 AM5923890b-f23a-4819-8e29-38243b
Apr 30, 03:36:37 AM0824d426-126e-44c6-b56a-53554
Apr 30, 03:36:37 AMea263144-5b42-4baa-8372-654731
Apr 30, 03:36:32 AM0a10de63-b1ec-44d5-9a8a-9e6625
Apr 30, 03:35:37 AMf33833de-cc9d-4ae6-8c96-84f0e0
Apr 30, 03:34:59 AM4b05bc4d-40e2-4ba4-a50c-9bd2d1
Apr 30, 03:33:47 AM1e3e916b-720e-4aa0-99ca-ec0927
Outcomes

Outcomes finance can sign off on.

  • Explainability. variance traced to a driver and an owner, not assembled by hand.
  • Allocation. shared spend mapped automatically, chargeback that holds under an audit.
  • Forecasting. forecasts finance can defend, AI spend included.
  • AI economics. AI and GPU spend turned into cost per request, feature, and team.
  • Upstream visibility. cost decisions in data and engineering surfaced before the invoice.
  • One model. cloud, AI, and data on a single allocation model, owned end to end.
Who this is for

The people who answer for the number.

CFO

One number for the board, with every dollar of cloud, AI, data, and SaaS tied to an owner.

CFO
Finance leadership
VP / Director of Finance

Chargeback that survives an audit, and forecasts that still hold at quarter-end.

VP / Director of Finance
Finance leadership
Head of FP&A

Month-on-month variance explained in minutes, the team and the charge already attached.

Head of FP&A
Planning & analysis
Head of Technology / IT Finance

Engineering and infrastructure spend mapped to services and teams, without chasing spreadsheets.

Head of Technology / IT Finance
Technology finance
FinOps leads

Allocation, commitments, and anomalies in one place, backed by proof instead of assumptions.

FinOps leads
Cloud & FinOps

FinOps questions, answered.

What finance and FinOps leads ask first.

An explorer shows spend. CloudVerse traces variance to a driver and owner, ranks the fix, and can carry it out.
Yes. Virtual tags define cost dimensions that match how your business is structured.
First account connected in under 30 minutes; recoverable spend usually surfaces the same day.
Chargeback is multi-currency and reconciles to source billing.
Yes. Agentry folds AI and GPU spend into the same allocation and forecasting model.

The invoice arrives on time.
The explanation should too.

Variance traced to drivers in hours, allocation that runs itself, forecasts finance can defend.