Enterprise AIKedaiEnterprise control
The enterprise control plane
Enterprise AI needs a control plane.
Kedai is building the layer enterprises will use to manage AI capabilities, govern how they run, and understand what happens across the organization.
Thesis
AI is becoming infrastructure.
AI is becoming an operating layer across the enterprise. Models, agents, tools, instructions, and workflows are beginning to shape how work gets done.
As that surface expands, companies need one place to manage what exists, govern what runs, and understand what happened.
Control plane
Manage. Govern. Understand.
One control plane across the capabilities an enterprise adopts and the AI-driven work they perform.
Kedai isn’t another AI tool. It’s the AI operating system for companies.
Purpose
Manage. Govern. Understand.
Kedai gives the enterprise one place to bring order to AI-driven work without tying that control to a single model, client, or protocol.
Manage
Create a clear inventory of enterprise AI capabilities, ownership, versions, and dependencies.
Govern
Apply identity, policy, and context when capabilities are published or used.
Understand
See adoption, cost, and activity without creating another unnecessary store of sensitive data.
Direction
Designed above the stack.
Kedai is not tied to one model, client, or protocol. It is designed to connect management decisions with runtime evidence across the enterprise.
Responsibility
For the teams accountable for enterprise AI.
The teams enabling adoption will also be expected to explain ownership, policy, activity, and cost. Kedai is being built for that responsibility.
- AI platform
- Platform engineering
- Security and governance
- FinOps and enterprise architecture
This is Kedai.
We are building the enterprise control plane. For questions or early conversations, contact hello@kedai.dev.