Kanu

About Kanu

Kanu is an AI cloud engineer aimed at the half of shipping that coding agents do not touch. Its framing is direct: agents made writing code faster, but you still own delivery, and in enterprise teams most of the delay comes from turning a change into a working system across environments — deploys fail, tests break, logs need interpreting, and every fix requires coordination. Kanu models that pipeline explicitly as seven stages (intent, code, infrastructure, deploy, tests, logs, approvals) and runs three AI agents across it so the system-level iteration after each failure happens without a human babysitting the loop. The promise is production-ready software rather than a pull request: infrastructure provisioned, environments reconciled, test failures diagnosed from the logs, retries handled, and release control respected through existing approval gates. That last point is what makes it a DevOps product rather than another coding assistant — it is designed to operate inside the change-control constraints an enterprise already has instead of asking teams to relax them. Access is currently through a booked demo rather than a self-serve signup, and the company publishes no price sheet. Kanu is a ten-person team and the site is structured entirely around the delivery problem — a How It Works walkthrough of the seven-stage pipeline and a demo booking, with no self-serve trial on offer.

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