Domo Accelerates AI Agent Creation with New Magic ETL Experience and AI-Guided Connectivity

Features unveiled at Domopalooza strengthen governance and add AI-guided tools that simplify how organizations connect and prepare data

SILICON SLOPES, Utah--(BUSINESS WIRE)--Domo (Nasdaq: DOMO) today announced updates to Magic ETL and its data integration capabilities, including a redesigned authoring experience and AI-guided tools for connecting new data sources. The announcements were made this week at the company’s annual Domopalooza conference.

For many organizations, preparing data remains the most time-consuming part of analytics. Data lives across many systems and connecting those sources often requires custom integrations. Once data arrives, teams must clean it, transform it, and maintain governance as pipelines evolve.

Domo’s latest updates focus on improving the daily work of the practitioners responsible for those pipelines and their efforts to quickly build and deploy business critical agents.

“Behind every dashboard is a data pipeline someone had to design and maintain,” said Andrea Henderson, senior product manager at Domo. “Our goal is to make that work faster and more dependable while preserving the governance organizations require.”

Stronger Governance Inside Magic ETL

A key update is full support for Personal Data Permissions within Magic ETL. PDP policies enforce row-level security across datasets in Domo. With this release, PDP-protected datasets can now be used directly as inputs within Magic ETL dataflows.

Previously, working with sensitive data often required a tradeoff. Teams either limited who could build transformations or expanded access beyond what was necessary. This update removes that constraint. More users can now work directly with governed data while existing security policies remain intact.

Magic ETL converts integrated data into trusted datasets that power analytics and operational workflows in Domo.

A Redesigned Magic ETL Experience

Domo also introduced a redesigned Magic ETL authoring experience with a new canvas that allows practitioners to customize panel layouts and maintain preferred workspace settings. The update also introduces a dark mode option.

Several workflow improvements were also added based on customer feedback. Disable Tiles allows users to temporarily turn off a transformation step without removing it. Run to Here lets practitioners execute a dataflow only up to a selected step to speed up troubleshooting. Row Count Observability shows how many rows move through each stage of a pipeline.

AI-guided Connectivity and Unstructured Data Support

Domo today previewed a new AI Assistant for the JSON No Code connector, expected later this year. The assistant helps users connect to REST APIs with natural language by interpreting documentation and generating the required configuration. Domo’s top connectors are now AI-ready. Domo has added more column-level context to customer data from the start by automatically populating the data dictionary through the connector, where customers can tweak and edit as needed.

Additionally, the company announced Domo Documents, formerly known as Filesets. The capability allows organizations to store unstructured files such as PDFs or images within the platform or connect to files in systems like Amazon S3, SFTP servers, Google Drive, GitHub or Confluence.

Once ingested, those documents can be processed and made searchable so they can be used alongside structured data. Through a new Documents tile in Magic ETL, teams can extract structured information from document collections and incorporate it directly into dataflows.

Improved Visibility for Cloud Integrations

Domo also introduced enhanced observability for cloud integrations through a new Domo Stats report. The report provides visibility into how queries from connected cloud data warehouses (CDWs) are executed within Domo.

The platform connects enterprise systems and CDWs through governed connectors, including Snowflake, Databricks, Google BigQuery, and AWS. These connections establish the data foundation used throughout Domo.

Availability

Several capabilities announced today are generally available, including Disable Tiles and Run to Here. The redesigned Magic ETL experience and row-count observability are currently in beta. The AI Assistant for the JSON connector and additional AI tiles are expected later this year. Currently, five of the AI readiness top connectors are now available with more coming.

About Domo

Domo is an AI and Data Products Platform that helps companies of all sizes leverage data and AI to drive value in today’s data-driven world. Built around our customers’ preferred data foundation, powered by our award-winning Domo.AI solution, and enriched with our partner ecosystem, the Domo platform enables users to prepare, visualize, automate, distribute, and build end-to-end data products that provide solutions across the entire data journey. From hydrating your data foundation, to building fully embedded applications that can be shared with your employees and customers, to deploying AI models across a variety of providers, Domo gives users the ability to build data products that generate measurable value for the business.

For more information, visit www.domo.com. You can also follow Domo on LinkedIn, X, and Facebook.

Forward-Looking Statements

This press release contains forward-looking statements within the meaning of Section 27A of the Securities Act of 1933 and Section 21E of the Securities Exchange Act of 1934 and the Private Securities Litigation Reform Act of 1995. These forward-looking statements include, but are not limited to, Domo's business strategy, product release plans, and opportunities. Forward-looking statements are subject to risks and uncertainties and are based on potentially inaccurate assumptions that could cause actual results to differ materially from those expected or implied by the forward-looking statements. Actual results may differ materially from the results predicted, and reported results should not be considered as an indication of future performance. The potential risks and uncertainties that could cause actual results to differ from the results predicted include, among others, those risks and uncertainties included under the caption "Risk Factors" and elsewhere in our filings with the SEC, including, without limitation, the Annual Report on Form 10-K filed with the SEC on April 4, 2025 and subsequent filings with the SEC. All information provided in this release and in the attachments is as of the date hereof