engineering

Ship fast. When finance asks what it cost, have the answer.

AI coding-agent spend is growing faster than teams can explain. CloudZero gives engineering the unit economics to defend it: cost per feature, cost per deployment, cost per customer. That’s what keeps the AI toolchain funded when finance starts asking questions.

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The window of accountability is closing

Engineering controls the AI spend, but finance owns the question of what it produced. That conversation is happening at most companies. The engineering teams prepared to answer it, with real attribution data across coding agents, model calls, and infrastructure, are the ones that keep the budget intact.

Unit economics across the whole stack

CloudZero maps every model call, container, and service to the customer, product, and feature it serves across cloud, LLM gateways, and coding agents. Cost per PR, per deployment, per customer. One number. Engineering builds with it and finance defends with it.

Debug cost like you debug latency

When a cost spike hits, the questions look like any system failure: what changed, who owns it, what drove it. CloudZero answers at the model, prompt, and service level. Anomalies in seconds, working answers in minutes, full allocation in hours. Your observability stack tells you something happened. CloudZero tells you what it cost and who owns it, without a tagging project.

Make architecture a buying decision

Every model choice and prompt design decision carries a cost that compounds at scale. CloudZero makes those trade-offs visible at design time, so the engineers making architecture decisions have cost as a real input alongside performance and reliability.

AI outcome attribution where you already work

CloudZero puts AI spend data inside Claude Code, Cursor, and the tools your team already uses. Ask what Bedrock costs this week. Get an answer in seconds.

Why CloudZero?

CloudZero is the financial control plane for engineering. The same attribution depth your infrastructure team has for cloud spend, extended to model calls, agents, inference, and coding-tool usage. Cost as a first-class engineering metric, from the first deploy, with zero tagging projects required to start.

<60 sec

From AI event to attributed cost

$600k

Annual AI spend traced to a single engineer, across 40 models

Zero

Tagging projects required to start allocating spend

see cloudzero in action