Domo AI: Business Intelligence and Data Product Platform
Domo AI supports mid-market and enterprise companies in building and managing data products. It is designed for teams that need to convert plain language into SQL queries or deploy custom AI agents.
At a glance
- Category
- Data & Analytics
- Best for
- Mid-market companies, Enterprise companies, Data analysts, Operations managers
- Pricing
- Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
- Key use cases
- Natural Language Data Exploration, SQL Query Generation, Custom AI Agent Deployment, Unstructured Data Analysis, Automated Forecasting
- Integrations
- Snowflake, AWS, Databricks, Google Cloud, Azure
- Official website
- ai.domo.com/
Domo AI is a platform designed for building "data products"—reusable, actionable assets that go beyond standard dashboards. It is intended to make data exploration more accessible to non-technical users while providing tools for data scientists, such as Jupyter Workspaces and AutoML.
The tool is designed for organizations that handle complex datasets and wish to implement AI-driven insights using their existing cloud infrastructure. It supports the creation of custom AI agents and the conversion of unstructured data into usable intelligence.
Buyers should confirm the technical requirements for managing models or deploying custom agents. The platform is designed for those utilizing major cloud data warehouses.
Key Features
Supports asking questions of data using natural language to receive answers and visualizations.
Designed to convert plain language descriptions into SQL queries and formulas.
A framework to build, test, and deploy custom AI agents.
An assistant that helps write calculated field formulas based on user descriptions.
Designed to convert unstructured data such as images, documents, and transcripts into intelligence.
Private models within the Domo Cloud for chatting and summarizing data without exporting it.
Tools for building, training, and deploying hosted models.
Use Cases
Using AI Chat to ask questions and receive visualizations from datasets.
Using the AI SQL assistant to generate queries from plain language.
Building and deploying specialized AI agents via Agent Catalyst for specific business needs.
Converting documents and transcripts into intelligence using FileSets.
Using prebuilt models with historical data to detect trends and seasonality.
Best For
Integrations
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
FAQ
A data product is a reusable and actionable data asset, such as a guided workflow or AI agent, designed to deliver specific business value.
Yes, it integrates with several providers including Snowflake, AWS, Google Cloud, Azure, and Salesforce.
It uses a secure AI cloud with user-level permissions and provides DomoGPT, which allows users to query and summarize data without exporting it from the cloud.
Source category: Data & Analytics
Source subcategory: Business Intelligence
