Allocation by teamReconciled · 100%
Platform Eng42% · $214k
Data Science28% · $142k
Shared Services18% · $91k
Frontend12% · $61k
Workload mapping
Shared spend mapped to teams, services, and products, automatically. Chargeback that survives an audit.
CloudVerse Technology Spend
Every technology dollar. Explained, owned, and optimized.
Manage cloud, AI, data-platform, and SaaS spend through one intelligent control plane. CloudVerse connects billing, usage, contracts, and ownership into one data model, no disconnected cost-management tools.
Cost Allocation
Every dollar of cloud, AI, data, and SaaS spend mapped to a team, a product, and an owner.
One platform · Five domains
Every domain of technology spend, one record.
Cloud taught enterprises what ungoverned spend costs. AI is repeating it faster. CloudVerse puts every domain on one record: for AI and engineering we sit at the execution path itself; for cloud, data, and SaaS we make every dollar accountable with allocation, chargeback, and evidence.
Multi-cloud cost intelligence: allocation, anomalies, chargeback, and commitments across AWS, Azure, Google Cloud, and eight more providers.
AWS
$42.1K
Azure
$18.3K
GCP
$9.7K
06 PM09 PM12 AM03 AM06 AM09 AM12 PM03 PMCompute
$31.4K
Storage
$12.7K
Network
$4.2K
06 PM09 PM12 AM03 AM06 AM09 AM12 PM03 PM
The data model holds every domain to the same standard. Read-only by default: connect in under 30 minutes.
Connects to the stack you already run.
Read the integration docs
Read-only by default. Automation is opt-in, scoped, and logged.
View all integrations Spend is visible. Decisions are still hard.
Read the docsAcross cloud, AI, data, and SaaS, every team gets stuck on the same four questions, and today they get asked in four different tools, by four different owners, with no shared answer.What changed, who owns it, whether the spend is justified, and what to do next, answered once, on one record, prioritized by impact across your whole technology budget.
spend / overviewLast 30d
Total spend
$128,400
Visible — but it can't tell you which team, which change, or what to do.
variance / investigationauto-attributed
+$18,400variancevs. forecast
01What changed
Snowflake full-table scans
+$18,400
02Who owns it
team : data-eng
03Is it justified
No · over forecast
04What to do next
Right-size warehouse
−$4.2k/mo
Answered once, on one record. Prioritized by impact · reversible · audited.
one data modelunified
Across your budget
Cloud
AI
Data
SaaS
On one record
BillingUsageContractsOwnership
Every dollar traced to a cause and an owner — one model, whole technology budget.
The fix
How CloudVerse fixes it.
What changed, who owns it, whether the spend is justified, and what to do next, answered once, on one record, prioritized by impact across your whole technology budget.
Daily spend · prod-emr+$4,812
3.1× baselineData Science · prod-emr · detected 2h ago
Anomaly detection
Spikes flagged in real time and traced to a root-cause signal before they compound.
Est. savings
$128k/yr
Payback
7.4 mo
RI coverage72%
Savings Plan64%
CSP coverage58%
Commitments with payback proof
RIs, Savings Plans, and CUDs with realized payback tracked, not assumed.
Chargeback · Q2EUR · JPY · USD
Business unitTotal
EMEA€12.4k
APAC¥9.8k
Americas$21.1k
Total reconciled$43.3k
Audit-ready chargeback
Every currency normalized and reconciled back to source billing, so the number holds under review.
What each domain gets, in depth.
The same model runs across every domain, with capabilities tuned to how each one actually spends.
cost by service · MTDW-A 86
$505kmonthly
EC2 · compute$214k
EKS · clusters$121k
S3 · storage$91k
RDS · database$79k
vs last month▲ 6% MoM
Cloud
Architecture-level cost intelligence
Cost, performance, and Well-Architected posture at the application level, with ML anomaly detection and Kubernetes attribution by namespace, workload, and environment.
token spend · 30d+8%
gpt-4o
$42k
claude-3
$28k
embeddings
$9k
reconciled to bill$79k / mo
AI
Every model and provider on the books
Spend by model, provider, and workload reconciled to the actual bill, with budgets and chargeback attributed to team and product the same way cloud spend is.
query cost by pattern12 full scans
est. monthly waste−$18k
Data
Behavioral cost intelligence
Repeat queries grouped into cost-amplifying patterns, with spikes predicted across pipelines before they hit the bill.
license utilizationComing soon
72%seats used
Active seats
312
Idle 30d+
88
reclaimable−$14k/yr
SaaSComing soon
Usage and ownership mapping
Which teams use which tools, and at what utilization, across every business unit.
one data model4 domains
CloudAIDataSaaS
Tag coverage98.6%
ChargebackReconciled
Shared
One model across all four
Automated tagging, normalization, and audit-ready chargeback, consistent across every domain.
The lifecycle
Understand. Optimize. Govern. Prove.
Read the docsOne model carries every domain from fragmented invoices to continuous economic control: understand what changed and who owns it, optimize toward the highest-impact fix, govern it with budgets and policy, and prove the realized result.
- Daily spendLast 7 daysMTWTFSSteam:data-engSnowflakeTop driver$18.4k
Understand
01What changed and who owns it. Every dollar mapped to an owner and a driver.
- Right-size warehouse−$4.2k/moImpactConfidenceHigh
Optimize
02Rightsizing, commitments, and waste, ranked by impact and confidence.
- Budget · Research82%Budget · Platform61%Approval requiredPolicy: on
Govern
03Budgets, approvals, and chargeback that survive an audit.
- $956k realizedreconciled
Prove
04Savings and unit economics reconciled to the bill, as evidence.
Proof in production
Real numbers from a live cloud deployment.
A leading Southeast Asian telecommunications group, running full cloud spend management across a 100+ application estate.
Cost allocation129 apps
payments-apiPlatformMapped
billing-webRevenueMapped
ml-inferenceDataMapped
129 applications mapped
Every application in the estate tied to a team, an owner, and full cost economics.
Cloud spend · managedLive
Rp8.77B
Rp8.77B under management
Direct cloud cost across a 100+ application estate, tracked live on one model.
Savings identified
Rp964.80M
Rightsizing58%
Idle & orphaned27%
Commitment gaps15%
Rp964.80M in savings surfaced
Concrete optimization opportunities identified and ranked by dollar impact.
Anomaly detection46 high
Spend spike · us-east-1+312%
50 anomalies detected
Spend spikes caught as they happen, each traced to a driver and an owner.
Deployment statusHealthy
ap-southeast-1Live
ap-south-1Live
us-east-1Live
Live in production
Running across three cloud regions with continuous health monitoring.
GovernancePolicy enforced
SOC 2
ISO 27001
GDPR
Every action scoped, logged, and audit-ready
Governed and compliant
SOC 2, ISO 27001, and GDPR aligned, with policy enforced in the execution path.
Figures from a production deployment, anonymized per client NDA.
Proof
Governed in production, across the estate.
Expansion pattern: Cloud, then Data, then SaaS, then AI, as enterprises bring their full technology estate under one model.
Axis Max Life Insurance
Platforms in scope
OCIAWSAzure
What CloudVerse governs
Compute, data warehouse, and storage optimization; chargeback; budget controls; DevOps cost governance.
Dr. Reddy's Laboratories
Platforms in scope
AWSGCPAzure
What CloudVerse governs
Compute, RDS, data warehouse, and storage optimization; chargeback; budget controls; DevOps; BU-head reporting.
XL-Smart
Platforms in scope
AWSGCPTencentHuaweiSnowflakeDatabricksAnthropicOpenAI
What CloudVerse governs
Enterprise cloud, data, and AI spend optimization and governance across providers, warehouses, and LLMs.
Berkshire Hathaway HomeServices
Platforms in scope
AzureOpenAIAzure AI
What CloudVerse governs
Optimization, governance, usage visibility, and AI spend controls.
Carlsberg
Platforms in scope
AzureAWSOpenAIAzure AI
What CloudVerse governs
Enterprise governance, commitment management, and AI spend governance.
Getting started
30, 60, 90.
Customers can begin with cloud, AI, data, or SaaS according to their immediate priority.
First 30 days01
Connect and establish the baseline
Connect billing, usage, and organizational sources. Configure ownership, tagging, and allocation rules. Baseline cost and usage; identify initial anomalies and waste signals.
By 60 days02
Optimize and operationalize
Review and prioritize savings opportunities. Enable anomaly monitoring and governance workflows. Set alerts, dashboards, and reporting views.
By 90 days03
Expand and automate
Integrate with enterprise systems (e.g. ITSM). Build unit economics and business-aligned reporting. Activate additional domains as needed. Enable governed automation for approved use cases.
Who it's for
Built for every stakeholder
FinOps Manager
Allocation and chargeback that hold up, and a queue of ranked actions instead of a spreadsheet.
Cloud / Platform Engineer
The driver behind a spike, with the fix and the risk attached.
CFO / VP Finance
A forecast you can defend and a number that reconciles to the ledger, across every domain, not just cloud.
Frequently Asked Questions
Common questions we get asked the most
Cloud cost management is one part of CloudVerse. CloudVerse is a technology spend platform covering cloud infrastructure, AI workloads, data platforms, and SaaS applications through one shared economic and governance model.
Traditional FinOps focuses primarily on cloud financial management. CloudVerse applies the same principles of visibility, ownership, optimization, and governance across the broader technology estate, including AI, data, and SaaS.
Yes. Organizations can begin with cloud, AI, data, or SaaS and expand through the same ownership, allocation, reporting, and workflow model.
Yes. One allocation model across AWS, Azure, and GCP, with Oracle, Alibaba, Huawei, and Tencent supported.
Read-only by default. Any action is opt-in, scoped, and logged.
CloudVerse connects provider, model, and workload expenditure to teams, applications, and business outcomes. For runtime AI governance, including workload identity, policy enforcement, approvals, and execution controls, CloudVerse provides Agentry.