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Cloud Intelligence™Cloud Intelligence™

Unit economics, without the spreadsheet.

Unit economics is one of the most important ideas in FinOps. Collecting the data was always the hard part. Our sensor reads unit cost straight from runtime: no tagging, no data pipelines, no spreadsheets.

Live in 15 minutes · No code changes

Cloud unit economics
Is cost keeping up with demand? · sample: a ride-hailing app with 133k rides a day
Cost per transaction
$0.0071per transaction
↘ −9.0% vs September

Transactions grew 6.4% while cloud spend fell 2.3%. Each transaction costs 9.0% less than in September. Most of the drop is the BigQuery editions switch.

Unit cost against demand · six monthsUnit costTransactions per month
May
61.2M
Jun
63.9M
Jul
66.8M
Aug
69.5M
Sep
72.4M
Oct · fcst
77.0M
Cost per core-hour
$0.031
−2.4% vs last month · blended, after commitments
Cost per CI build
$1.12
−18% · 41,300 builds on gke-analytics
Elasticity · 90 days
0.19
+0.19% spend per +1% demand · lower is better

Trusted by teams who know their unit cost

Software Projects
Shasta Cloud
Flooid
Finlex
Hippo
Island
Claroty
Salt Security

what you can measure

Pick the unit. We'll find the cost.

A rideshare company wants cost per ride. A SaaS platform wants cost per active user. A bank wants cost per analyzed transaction. The metric comes from your runtime, not your data pipeline, including the shared infrastructure and AI that tags never reach.

See your unit cost
Unit cost · this month
Every metric your business runs on
Cost per ride
$0.042▼ 6%
Cost per active user
$1.18▼ 3%
Cost per transaction
$0.0031▲ 2%
Cost per AI inference
$0.008▼ 11%
Read from runtime traffic. No tagging, no data pipeline.

other tools tell you costs are up

We tell you why.

Usage tied to the business unit that drove it. Finance gets cost to serve, engineering gets cost to produce, leadership gets contribution margin. Same data, three conversations, no spreadsheet.

Without unit economics
“Your EC2 cost is up 17% month over month.”
A number without context. Three days of digging through tags, dashboards and Slack.
With unit economics
“ACME’s cost to serve is up $44K.”
Driver50M more tokens
Featureauto-summary, shipped last month
Unit cost$0.012 per summary

Finance

Cost to serve, per customer.

Engineering

Cost to produce, per feature.

Leadership

Contribution margin by product.

Everyone

One number, no spreadsheet.

profitability, not just efficiency

What changes when every cost has a unit

Price on real margins

Price features and tiers on real unit cost, not estimates.

Forecast from demand

Tie cloud forecasts to the business demand that drives them.

Engineering's share of profit

Show how engineering work moves gross profit.

Find margin leaks

Spot the accounts quietly draining your P&L.

Check every launch

See whether a new feature improves margins or erodes them.

Know if AI pays off

Track whether scaling AI creates value or burns cash.

observed, not inferred · patent-pending method

How unit economics works without a data project

1

Install in 15 minutes.

A lightweight eBPF sensor deploys to your cluster via Helm, plus a billing integration. No code or configuration changes.

2

The sensor reads the traffic.

It observes traffic to every cloud resource, from databases to LLM endpoints. Customer IDs, headers and model calls are read directly.

3

Cost lands where it belongs.

Every dollar lands on the customer, feature or AI agent that drove it, so unit cost is a division, not a project.

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

Book a demoStart for free

every workload. one method.

Attribute everything the bill contains.

One sensor, one method. Whatever runs, Cloud Intelligence™ sees who used it.

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

What is cloud unit economics?

The FinOps Foundation defines it as a system of profit maximization based on objective measurements of marginal cost and marginal revenue. In practice, you pick a unit that matters to your business, like a customer, a ride or a transaction, and tie cloud spend to it so decisions start from value instead of the invoice.

How do you get unit economics without tagging?

A lightweight eBPF sensor deploys to your cluster and reads runtime traffic. Cost is attributed to the customer, team, feature or AI agent that drove it, based on actual consumption. No tags to maintain, no data pipelines to build.

What unit metrics can I measure?

Any metric that maps to your business model: cost per customer, transaction, ride, active user, AI inference or feature. The sensor reads the runtime identifiers, like customer IDs, service names and workload labels, that connect spend to business activity.

How long does setup take?

About 15 minutes, with no code changes. Most teams see per-customer and per-feature cost within the first week.

Do I need engineering resources?

Very little. The sensor runs as a standard Kubernetes DaemonSet. No application changes, no tag governance and no pipelines, which is where traditional unit economics projects spend most of their engineering time.

You know your cloud bill. Now know your unit cost.

Live in 15 minutes. Unit economics by the end of the week.