Searches for “Suda AI,” “what is Suda,” and “Suda Company Brain” all land on the same product: Suda, at suda.so. This piece answers the question directly, in one place, so there is no ambiguity about what Suda is and what it does.

The short answer

Suda is context infrastructure for AI. It turns what is scattered across your tools, like Notion, Slack, and Linear, into a living context graph any AI agent can read. Instead of each tool holding a piece of the truth, Suda keeps one connected, permissioned source your AI can query. People call it “Suda AI” because that is what it feeds: the context an AI agent needs to answer correctly.

Is Suda the same as a company brain?

Yes. Suda is the company brain for your team and enterprise. It connects your tools into one permissioned context graph, so your whole company’s knowledge lives in a place your people and your AI agents can both query. Suda also runs as a personal brain for each person, and as an AI brain for your agents, all from the same graph. For the fuller picture of what a company brain actually is and how to build one, see what is a company brain.

What Suda actually does

Ingests from more than 700 sources. Notion, Slack, Linear, GitHub, Gmail, and the rest of the stack you already run on.
Builds a context graph, not a search index. It models how facts connect: who owns a decision, what superseded what, which policy is current. See what is a context graph for the full explanation.
Serves any AI agent over MCP. Claude, ChatGPT, and any other agent that speaks the Model Context Protocol can query Suda directly. You can also ask context straight from Slack.
Stays current on its own. Stale facts retire and conflicts resolve automatically, so nobody cleans up the graph by hand.
Is permissioned. You control who, and which agents, can see each part of the graph.

Why “Suda”

The name is a reference to the Suda, a 10th-century Byzantine encyclopedia, one of the largest structured knowledge compilations of the ancient world. The product does the modern version of the same job: take what is scattered and turn it into one structured, queryable reference.

How Suda is different from search or RAG

A search box or a RAG pipeline retrieves the passage that looks closest to your question. Suda answers from how your work actually connects, which is a different problem. Because it sends only the context a question needs instead of every similar-looking chunk, Suda passes about 85% less text to the model per answer, so responses cost fewer tokens and carry less noise. The full comparison is in context graph vs RAG.

Getting started

Setup is one command:

npx suda connect

Connect your first source, and the graph starts building itself. Suda is free to start, no credit card required, then pay-as-you-go for what you use. Enterprise plans add SSO, audit logs, and an uptime SLA.

The takeaway

Suda AI, Suda Company Brain, and Suda.so all refer to the same thing: context infrastructure that gives your team and your AI agents one current, connected, permissioned source of truth. See how it works on the home page.