CloudZero Ai signals

Stop waiting on the bill. Start reading the signal.

CloudZero captures AI events the moment they happen, connected to the people and activities that drove them, so spend becomes a signal you can act on immediately, not a bill you read a month later.

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Bring AI spend into full resolution

See AI spend broken out by department, user, model, and the business activity behind it, across every provider. With CloudZero, the one number you’ve been reporting becomes a breakdown you recognize and can act on, whether that means defending a team’s spend or shutting down the work that isn’t earning it.

Total AI cost, active users, and spend by department, team, person, and model, across every provider you run.
Every AI task is classified into the business activity it belongs to, so a line item reads as prospecting or code review rather than a model and a token count.
The numbers reconcile to the invoice, so what you pull today is what you can defend to the board tomorrow.

Capture the signal, not the bill

Billing data records what model was called and how many tokens it consumed. It can’t tell you which feature initiated the call, which customer session it belonged to, or what intent drove the token count. That context lives in telemetry, a separate data plane billing tools can’t reach. CloudZero captures it the moment each event occurs.

Direct ingestion of AI usage from desktop machines, LLM gateways, and OpenTelemetry streams
Every event lands with the customer, feature, model, and agent already attached, and the spend is classified into a business activity that drove it
Categorized and allocated as the spend occurs, rather than pulled apart after the fact, so the insights are more granular and accurate

A cadence for every decision

Cost questions don’t all run on the same clock. A spend movement you need to act on today can’t wait for a quarterly close, and a margin review can’t run on a partial picture. CloudZero ingests and allocates in tiers, so each decision gets exactly what it needs. Captured in real time, visible in minutes, full allocation in hours.

Individual AI events visible in livestream the moment they land, each one carrying the activity, model, and cost associated with it
Working answers in minutes for the ad-hoc cost questions engineering and finance bring in the moment
Full multi-dimensional allocation in hours, reconciled to the invoice and ready for the financial close

The same answer, wherever the decision happens

AI Signals Overview is where the whole picture lives, but not every decision gets made there. An engineer picks a model in the IDE, a finance leader approves a pricing change in a board deck, a runtime system routes a call in production. The same allocated number reaches all of them, from one source, so nobody is working from a different version of the truth.

Outcome attribution available in Slack, Jira, executive dashboards, Claude Code, and any MCP-compatible tool
Cost data that reads like a P&L, not an AI invoice, and updates continuously
One source of truth for every team and every system making spend decisions

Why CloudZero is different

Judgment, not just detection

Most tools tell you a number changed. CloudZero tells you whether it should have. Every movement arrives with the team, the work, and the comparison to the normal pattern, so a ramp-up reads differently than a runaway job.

Cap the accident, not the bet

Hard limits stop the productive gains along with the waste. CloudZero gives you the visibility to leave teams running and the evidence to act on the one case that needs it.

One engine for AI and cloud

The same allocation engine watches your model spend and the infrastructure underneath it. One number, one owner, one place to look, reconciled to the invoice.

CloudZero truly gives us a heartbeat of our spend at all times.

Adam Walker

VP of Infrastructure and Security

My team, the one that’s responsible for maintaining our core platform, is much more involved. They’re looking at numbers and making intelligent decisions about how to manage our costs.