Domo connects data from wherever it lives, prepares it so it can be trusted, and activates it with analytics and AI agents. What comes out reaches people in the tools they already use, with the same access rules applied at every step.
Connect data from wherever it lives, then clean it, normalize it, and give it the business context AI needs.
Analytics and automation reading the same certified metric definitions, so the answers agree.
Apps on desktop and mobile, embedded in your own product, or inside AI assistants through MCP.
An agent shows a person only what that person could already see. Row and column permissions, certified metrics and lineage.
Business teams add the context AI needs, on the architecture you built,
with the control you already enforce.
Your data stays in Snowflake, Databricks, BigQuery, AWS or Azure. Domo works with it, where it already lives.
Bring your own models. The AI Service layer allows you to swap one without having to rebuild what sits on top of it.
Ensure row and column permissions, certified metric definitions, visible lineage, and a human review step where it matters.
Ken Garff runs more than 70 dealerships across nine states. Reports that once took weeks to build now refresh against Snowflake automatically, and a data set that grew from 1.4 to over 4 billion records still returns interactive dashboards to 850 people.
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