Bring the fun back to building AI tools.

It starts fun

You build a batch of useful agents and skills — they help you every day. You share them with a colleague, they love it. The team wants in. So far, so good: this is the part where building AI tools is supposed to feel.

Then you try to ship it company-wide

Spawning infrastructure is easy. Productization is heavy: security and cost control, compliance and governance, tool integrations and cloud deployment — and then management of all of it. Customers add up; suddenly you need per-customer configs, variations, budgets, audit. The nice side project is a burden, and it stops being fun.

So we built the environment

KDCube is a self-hosted runtime where your agents live, the tools they need plug in, and the surfaces that expose them — chat widgets, copilots, smart APIs, scheduled pipelines, dashboards, MCP. Productization is part of the platform: tenancy, budgets, governance, observability, hot-reload deploys. Our mission: KDCube is the easiest way to run AI apps in your organization.