FinOps without tagging. Even for AI.

Tagging tracks less than half of cloud spend. Cloud Intelligence™ reads runtime traffic and allocates costs automatically, including shared resources: compute, storage, network, databases and AI, to whoever used them. No code changes. Instant results.

What does each customer cost me?Book a demo

Patent-pending runtime attribution · Free to start, no credit card · Live in 15 minutes

Attribute every dollar: 100% of spend allocated at runtime

Allocation · last 30 days · all clouds

$2,418,906 100% allocated

eBPF sensor · live

Tagging program · 43% of spend covered18 months

Cloud Intelligence™ · 100% of spend allocated1 day

Customers 46%Teams 31%Features 14%Agents 9%

Kubernetes (shared EKS)

$1,184,310

by runtime consumption

Network egress + NAT

$342,007

traced to workload

Databases + Kafka

$596,220

split by queries

OpenAI + Anthropic

$296,369

tokens per customer

Explored 0 of 3· Insights 0/6

Trusted by teams who stopped tagging

Day one with Cloud Intelligence™

Every dollar has an owner. Tags optional.

100%

of spend allocated

tags needed

15min

to deploy

you can't tag your way to 100%

Your tagging campaign will never finish. Stop waiting on it.

Even mature programs track 43% of cloud cost at the unit level (Gartner, 2025). The other 57% is shared infrastructure, network and AI, with no tagging surface. Cloud Intelligence™ reads runtime traffic and allocates every dollar by what actually happened. Keep your tags. Lose the dependence on them.

See how runtime attribution works

What the bill contains · where tags reach

Compute (tagged)

Tag

Managed DBs

Partial

Shared Kubernetes

Runtime

Network, NAT, egress

Runtime

Kafka, queues, caches

Runtime

LLM tokens, GPUs

Runtime

Self-managed on EC2

Runtime

Reachable by tags

43%

Reachable by Cloud Intelligence™

100%

you can't tag a customer

Know what every customer costs you. Not just what they pay.

Customers share clusters, hit APIs and trigger inference without leaving a tag behind. Cloud Intelligence™ reads the customer ID in the traffic and gives every account a cost-to-serve, a COGS line and a margin, with human and agent usage split.

Pick a customer. We'll show you what they cost you

Customer

Northwind Retail

Underpriced · renewal in 34 days

Cost to serve

$80,761

COGS line

$68,420

Gross margin

32%

Cost by feature · detected from API paths

/api/checkout

$31,210

/api/search

$21,604

assistant (LLM)

$18,390

/api/reports

$9,557

Human usage 62%Agent usage 38%

“You can't tag a customer in a multi-tenant environment. Attribute™ finally shows us what each customer costs.”

Omri Cohen · Director of Engineering, Platform, IslandRead the Island story

what you get

Cloud Intelligence™ sees what billing exports and CUR miss.

Billing exports describe resources. They never say who used them. It reads runtime traffic and answers the question the bill can't.

Shared clusters, split by customer
Every tenant's share of one EKS cluster, by actual consumption.
Cross-AZ and cross-region, traced
The bill nobody owns gets an owner, down to the workload.
Customer cost, auto-detected
Cost-to-serve and margin per account. No tags, no code.
Chargeback by real usage
Team reports finance trusts and engineering stops disputing.
Agents and tokens, per customer
Input, output and cached tokens, by feature and customer.
Anomalies with the cause
Alerts name the customer, the feature and the change.

what to work on next

Start the week with a list, not a guess.

Cloud Intelligence™ ranks every workload by what it will add to next month's bill if nothing changes, and names the cause. New and spiking workloads surface the week they appear, so the next thing to fix is always at the top.

Which workloads need focus?1 new and 9 spiking · ranked by monthly impact · top 3 of 10

If nothing changes, the top 5 add

+$16,557per month

4 spiking Deployments are 79% of it · 1 spiking AutoscalingRunnerSet is 21%

Spiking this week

9workloads · +$4,490 vs last week

3 of 9 bill mostly to Amazon Elastic Compute Cloud

New since last week

1workload · first seen this week

From the eBPF sensor · 9 clusters

WorkloadSignalWhat changedImpact / month

Where the increase came from

Claude Sonnet 5.5 (Amazon Bedrock Edition)+$862 46%

eu.anthropic.claude-sonnet-5-5

Claude Sonnet 5 (Amazon Bedrock Edition)+$437 23%

eu.anthropic.claude-sonnet-5

Claude Opus 4.6 (Amazon Bedrock Edition)+$296 16%

eu.anthropic.claude-opus-4-6-v1

84% of the change

When it started

Since Sun 4 Oct, 09:00 UTC

In a few hours of the week

Usage vs price

input tokens standard+$617newcache write tokens standard+$522newInputTokenCount+$298new

Where the increase came from

Simple Storage Service+$402 50%

s3://ci-artifacts-us-east-1

Elastic Compute Cloud+$291 36%

arm64-big runner nodes

Data Transfer+$117 14%

cross-AZ runner traffic

91% of the change

When it started

Since Mon 5 Oct, 02:00 UTC

Ramped over a day

Usage vs price

PUT, COPY, POST requests+$318newm7g.4xlarge on-demand+$291newregional data transfer+$201new

Where the increase came from

Claude Sonnet 5.5 (Amazon Bedrock Edition)+$322 49%

us.anthropic.claude-sonnet-5-5

Claude Sonnet 4.6 (Amazon Bedrock Edition)+$184 28%

us.anthropic.claude-sonnet-4-6

Claude Opus 4.6 (Amazon Bedrock Edition)+$91 14%

us.anthropic.claude-opus-4-6-v1

81% of the change

When it started

Since Sun 4 Oct, 13:00 UTC

In a few hours of the week

Usage vs price

input tokens standard+$244newoutput tokens standard+$198newcache read tokens standard+$126new

spike daysnormal daysImpact = extra cost per month at this week's rate · click a row to investigateShow 5 more ↓

Ranked by impact

Impact per month at this week's rate puts the biggest lever first.

Reason attached

Each row names the services and models that moved the number.

New and spiking, flagged

A workload shows up the week it first runs or jumps.

One click to the owner

Open a thread on any row and hand it to the team that runs it.

See your top workloads

showback and chargeback

Chargeback nobody argues with.

Even splits, revenue shares and headcount ratios get disputed every quarter. Cloud Intelligence™ allocates shared platforms, databases and clusters to teams by real usage, so engineering and finance work from the same numbers from day one.

Start showback from day one

Shared EKS cluster · prod-us-east

$412,880 split by consumption

Even split (disputed)

Platform$103,220

Payments$103,220

Search$103,220

Data$103,220

Observed usage

Platform$61,932

Payments$194,054

Search$107,349

Data$49,545

PlatformPaymentsSearchData

“Within weeks, Attribute™ transformed our understanding of cost structures and shaped our pricing decisions.”

Jonathan Langer · COO, ClarotyRead the Claroty story

every workload. one method.

Attribute everything the bill contains.

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

Explore

Coming soon

Don't see your stack?

Tell us what you run and we'll prioritize it.

Custom providersMore AI gatewaysMore data clouds

Request an integration

48 shown · all integrations

observed, not inferred · patent-pending method

How attribution works without tags

Install in 15 minutes.

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

The sensor reads what actually happened.

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

Cost lands where it belongs.

Every dollar is attributed to the customer, team, feature or agent that drove it. Shared resources split by consumption, not estimates.

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

What does each customer cost me?Book a demo

Cloud Intelligence™

Stop reporting on waste. Start removing it.

Run FinOps at the speed of AI. Cloud Intelligence™ unifies senior cloud architects, AI agents, and deep multi-cloud data in a single platform.

This sprint · Payments

−31%NAT egress

✓Mapped cross-AZ traffic to 6 servicesDone

✓Moved checkout cache into same AZDone

•Reviewing S3 lifecycle rulesIn progress

FDForward deployed engineer, embedded with your team

Learn about Forward Deployed Engineers

ai spend

See what AI costs you before the invoice does.

Anthropic, Cursor, Cowork and the models running on your cloud providers, in one view. Track AI as a share of your cloud bill, see where the month is heading, and compare against companies your size.

How much of our bill is AI?Anthropic, Cursor, Cowork and AI models running on your cloud providers

How much of your bill is AIAI spendShare of cloud billPeers using AI

8.2%

of September’s cloud bill was AI, up from 0.3% in November. At this pace it reaches 8.3% in October. The median among companies your size using AI is 4.7%.