What is Arai AI

Arai AI is a cloud platform for running AI agents in an isolated, dedicated environment, with built-in scalability. You bring an agent — a Python or TypeScript program that exposes a graph — and Arai builds it, deploys it, gives it a public endpoint, and keeps every run observable and governed.

It is built for small and medium businesses in any industry, not just tech. The people using it range from developers and ML engineers to operations, product, and business teams folding AI into their day-to-day work.

Two pillars

Two ideas shape every feature.

Governability

You get visibility and control over the agents running across your organization:

• Project boundaries — workspaces define who can see and change what.
• Access control — roles and permissions, granted per workspace.
• Traces — the full execution history of every run.
• Metrics — performance and usage over time.
• Logs — raw inputs and outputs from each run.
• Evals — generated from past logs, then run on every new build.
• One catalog — manage every agent org-wide, with no duplicated work.

Data sovereignty

You can deploy agents into your own cloud environment, so agent data never leaves your infrastructure — while you still use that data to improve your agents. For regulated industries, that is the difference between adopting agents and not.

Who it's for

• Teams that need AI agents in production without standing up their own serving, tracing, and access-control stack.
• Organizations with data-residency or compliance constraints that rule out sending data to a third-party runtime.
• Both technical builders and the non-technical teams who operate agents once they are live.

Core features

• Fine-grained access control to projects through workspaces.
• Deploy code directly from a GitHub repository.
• A visual agent builder on a whiteboard canvas.
• Deploy an agent straight from the canvas.
• A chat interface to test a deployed agent.
• A public API endpoint and per-agent API key for external integration.
• A bring-your-own-cloud deployment option for privacy and compliance.