See exactly what your AI investment is buying you

AI tools promised a step-change in engineering productivity. Swarmia shows you whether you’re getting it — and what it’s costing you.

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Connect AI spend
to the work it produced

Swarmia combines AI usage data with FTE and compute costs so you can trace what every piece of work actually cost — from the initiative level all the way down to the individual PR.

“I want to track any productivity increases that we might be able to attribute back to AI. I know that’s tricky to do but I see Swarmia as a key component in solving this challenge.”

Egan Royal

SVP of Engineering at Engine

Know what your AI agents are doing — and whether it’s working

Your teams are probably running several AI tools at once, and not all of them are pulling their weight. Swarmia tracks what each tool’s agents are actually doing across your org so you can control the sprawl and stop paying for what isn’t working.

See all your AI tools
in one place

Your teams aren’t running one AI tool — they’re running several, often without a clear view of which is worth keeping. Swarmia connects with Claude Code, GitHub Copilot, Cursor, and Codex out of the box. Running something we don’t support yet? The API lets you connect any tool and get the same visibility across the board.

Get the full cost of every feature and initiative

Your AI bill only tells part of the story. Swarmia combines AI compute costs with FTE effort so you can see exactly how much each feature or initiative actually cost to build: tokens, subscriptions, and engineering time in one place.

Measure AI impact
from every angle

There’s no single metric that tells you whether AI is working. Swarmia lets you look at the same question from multiple angles — cycle time, review time, batch size, and developer experience — so you can build a complete picture, not just a headline number.

Tell signal from noise
in your review agents

AI review agents are covering a growing share of pull requests in most engineering orgs. Swarmia shows you the agent review rate, findings per PR, and which tools are doing the reviewing — so you can see whether your AI review layer is catching real issues or generating noise.

Start measuring the impact of AI coding tools today

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