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AI and Data Products Platform

Connect Data, Generate Insights and Build Data-Driven AI Agents

  • Get data AI-ready without moving it out of the cloud platform you already run.
  • Put AI agents into production on data your security team already trusts.
  • Deliver the result where people work: desktop, mobile, via MCP, or embedded apps.
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The Domo AI and Data Platform

Everything You Need to Go from Raw Data to Answers People Can Trust

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.

Build Your AI-Ready Data Foundation

Connect data from wherever it lives, then clean it, normalize it, and give it the business context AI needs.

Activate Your Data With AI Agents

Analytics and automation reading the same certified metric definitions, so the answers agree.

Distribute to People to Drive Outcomes

Apps on desktop and mobile, embedded in your own product, or inside AI assistants through MCP.

Governance for Trusted Answers

An agent shows a person only what that person could already see. Row and column permissions, certified metrics and lineage.

Why Domo

Built for the Way IT Already Works

Business teams add the context AI needs, on the architecture you built,
with the control you already enforce.

  • Built for Your Cloud

    Your data stays in Snowflake, Databricks, BigQuery, AWS or Azure. Domo works with it, where it already lives.

  • Using Your AI Models

    Bring your own models. The AI Service layer allows you to swap one without having to rebuild what sits on top of it.

  • With Integrated Governance

    Ensure row and column permissions, certified metric definitions, visible lineage, and a human review step where it matters.

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Case Study

Ken Garff Automotive Group Eliminates 400 Hours of Monthly Wait Time with Domo on Snowflake

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.

Read the Story

Learning & Resources

FAQs

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Empowering People to Turn Raw Data Into Action You Can Trust