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Cloud Intelligence™Cloud Intelligence™

Cost & Usage

Every bill in one view. In your business's language.

AWS, Google Cloud, Azure, data platforms and AI providers, normalized into one view with no data prep. Group spend by team, product or customer, and drill from the trend to the line item.

40+ providers · No pipelines or exports · Ready on day one

Report · Spend by provider · last 6 months
$1.39M in October
ProviderTeamService
May
Jun
Jul
Aug
Sep
Oct
AWSGoogle CloudAzureSnowflakeAI providers
October · by provider
AWS$571K▲ 2%
Google Cloud$330K▲ 2%
OpenAI + Anthropic$188K▲ 24%
Azure$158K▲ 2%
Snowflake$147K▲ 5%
AI spend is up 24% this month, the fastest-growing line on the bill.

Trusted by teams who see every bill

Software Projects
Shasta Cloud
Flooid
Finlex
Hippo
Island
Claroty
Salt Security

from bill to business

One view. Every question answered.

Cloud, data and AI bills arrive in different shapes. We normalize them into one schema, add your business context, and make every number explorable without SQL.

See your own bills
Connected bills · October
Cloud, data and AI, side by side
AWS
Cloud
Google Cloud
Cloud
Azure
Cloud
Snowflake
Data
OpenAI
AI
Datadog
Observability
40+ providers, normalized into one schema. No data prep.

other tools give you exports

We give you one view.

Every provider bills in its own format, so month-end means merging exports and arguing about whose spreadsheet is right. Cloud Analytics does the merging for you, so finance and engineering start from the same number.

Month-end today
“Can someone merge the exports?”
aws-cur.csvgcp-billing.csvazure-usage.csvsnowflake.xlsxopenai.csv
Five schemas, five naming conventions, two days of work.
Cloud Analytics
“October: $1.39M, by product.”
Sources5 bills, one schema
Grouped byProduct and team
ReadyBefore the meeting

Finance

Month-end without the merge.

Engineering

Cost next to the service.

FinOps

Every bill, one schema.

Leadership

Spend by product, at a glance.

built for FinOps

Everything you need to read the bill

Zero data prep

No exports to format, SKUs to match or views to reconcile.

Flexible filtering

Slice by service, account, label or SKU. No SQL needed.

Business context

Group spend by team, product or customer with allocations.

Ready-made dashboards

Forecasting, anomalies and commitments, ready on day one.

Fast investigation

Drill from a spike to the service, SKU or resource behind it.

Share and embed

Share filtered views, or embed them in Grafana, Looker or Sheets.

no pipelines

How Cloud Analytics works

1

Connect your bills.

Clouds, data platforms and AI providers. Billing data flows in automatically.

2

We normalize everything.

Every provider's format mapped into one schema, so costs compare cleanly.

3

Explore without SQL.

Group, filter and chart any view in a few clicks, then share it.

SOC 2 Type 2, ISO 27001, FinOps Certified Platform.

Book a demoStart for free

“

Cloud Analytics isn't just a tool, it actually fits into how we work. We get real-time visibility into costs, and when something's off, we know immediately. Sometimes it's a bug, sometimes a usage shift, either way, it's something we can act on fast. That kind of feedback loop has made a real difference for both our engineering and finance teams.

”

Artem Nikulchenko, Chief Software Architect at Teamwork Commerce

40+ providers. one view.

Every bill your business pays.

Clouds, data platforms, observability and AI providers, normalized side by side.

Explore
AWS
Google Cloud
Microsoft Azure
Oracle Cloud
Kubernetes
Linode
DigitalOcean
Alibaba Cloud
Tencent Cloud
Scaleway
MongoDB
Snowflake
Databricks
Elastic
Confluent
ClickHouse
PlanetScale
Aiven
GitHub
Vercel
Temporal
OpenAI
Anthropic
Cursor
Anyscale
Nebius
Fireworks
xAI
OpenRouter
LiteLLM
Requesty
Amazon Bedrock
Vertex AI
Datadog
Grafana
New Relic
Coralogix
Cloudflare
Fastly
Slack
Microsoft Teams
Linear
Jira
Twilio
Cartesia
Cloudinary
Looker
Wiz
Coming soon
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Frequently asked
questions

Which providers does Cloud Analytics support?

AWS, Google Cloud, Microsoft Azure and Oracle Cloud, plus data platforms like Snowflake and Databricks, observability tools and AI providers such as OpenAI and Anthropic. 40+ providers in total, all in one view.

Do I need to build a data pipeline?

No. Billing data is ingested and normalized automatically. There are no exports to format, SKUs to match or schemas to reconcile.

How do I see costs by team or product?

Allocations add your business context, so any report can group spend by team, product, environment or customer instead of by account or SKU.

Can non-technical users build reports?

Yes. Reports are point-and-click: pick dimensions, filters and a chart. No SQL required.

Can I share or embed reports?

Yes. Share filtered views with anyone, send scheduled digests, or embed reports in tools like Grafana, Looker or Google Sheets.

Every bill you pay. One view you trust.

Live on day one. No pipelines, no exports.