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Domo Launches App Catalyst to Turn AI Ideas into Production-ready Business Applications

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Generative AI is a type of computer technology that can create new content, like text, images, or music, on its own. It’s important because it can produce realistic and useful material quickly, which could change how we create art, write stories, or even develop new products. Think of it as a smart robot that can invent and produce things almost like a human.
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Natural language prompts are short, everyday-language instructions or questions you give to an AI tool to get a specific response, like asking a knowledgeable assistant to summarize a report or generate an investment checklist. They matter to investors because the way a prompt is written shapes the quality, accuracy and bias of AI-generated analysis and trading ideas—similar to how clearer directions produce better results from a human aide.
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Access rules that control who can see or change each individual row (record) in a database or table, similar to a filing cabinet where each folder can be opened only by specific people. For investors, row-level permissions matter because they reduce the risk of unauthorized access to sensitive information, help meet regulatory and privacy requirements, and support stronger governance—factors that can affect a company’s legal exposure, reputation, and ultimately its financial value.
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Column-level masking is a data protection practice that hides or alters the contents of specific fields in a database—such as names, account numbers, or medical identifiers—while leaving other data usable. For investors it matters because it lowers regulatory, legal, and reputational risk by keeping sensitive information private, and it lets companies share and analyze business data safely; think of it as blurring faces in a photo so you can study the scene without revealing identities.
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Cloud data platforms are online services that store, organize and analyze a company’s information using remote servers instead of on-site computers. They act like a virtual filing and analytics center that scales up or down on demand, letting companies run reports, power apps, and find insights without heavy hardware costs. Investors watch them because their subscription-style revenue, growth potential, and role in cost efficiency and competitive advantage can strongly affect a company’s future profits and valuation.

The new capability helps organizations scale AI-built apps with built-in governance, security, and control across their existing data platforms

SILICON SLOPES, Utah--(BUSINESS WIRE)-- Domo (Nasdaq: DOMO) today announced the release of App Catalyst, a new product feature within its AI and Data Products Platform designed to help organizations leverage natural language prompts to jumpstart custom pro-code applications built on top of existing data, wherever that data lives, while maintaining the governance, security, and scalability required for real-world use.

Generative AI has dramatically lowered the barrier to building software. “Vibe coding” has made it possible to translate ideas into working prototypes faster than ever before. But many of these experiments stall before reaching production, constrained by fragile code, limited maintainability, and a lack of alignment with enterprise data and security standards.

Existing vibe-coding systems in the market optimize for speed at the moment of creation and often require data, logic, and governance to be managed across multiple systems. App Catalyst is designed for what happens after, when applications must be maintained, trusted, and scaled across the enterprise.

App Catalyst is built to close that gap.

With App Catalyst, users can describe the application they want to build using natural language and instantly generate a functional app framework that runs on enterprise data accessed through Domo including data stored in leading cloud data platforms such as Snowflake, Databricks, Google Cloud, and Oracle. The resulting app foundation integrates with the customer’s existing datasets, deploys through Domo App Studio, and automatically inherits existing governance and security controls, including per-user data access permissions, row-level permissions, and column-level masking. If data is not yet available, App Catalyst generates placeholder data so teams can begin building immediately.

More broadly, App Catalyst signals a shift in how organizations will build with AI. While early “vibe coding” tools focus on generating raw code quickly, real enterprise impact requires a move toward composition rather than generation. Domo is designed as a foundation for that future, where AI helps teams assemble governed, production-ready app frameworks that align with data access, security, and operational standards from the start, without forcing organizations to move or duplicate their data. This evolution moves organizations away from fragile experiments that often incur additional engineering or technical debt and toward scalable application building that can grow with the business.

“Vibe coding showed how fast ideas can turn into software, but speed alone does not create durable value,” said Josh James, CEO at Domo. “The next evolution is moving from raw code generation to composing applications that are grounded in trusted data and governed by design. App Catalyst is an important step in that direction. It’s more like vibe-orchestrating, as it gives teams a production-ready foundation they can extend confidently, while continuing to work with data in the platforms they already rely on.”

Rather than attempting to deliver a finished application in one step, App Catalyst provides a compelling starting point on a production-ready platform. Teams can iterate quickly with live code generation, preview changes instantly, and publish apps with a single click, then continue refining and customizing the application to meet evolving requirements.

Key benefits of App Catalyst include:

  • AI efficiency: Rapid ideation and iteration using natural language prompts
  • Self-service app creation: Build pro-code app foundations without extensive upfront engineering
  • Rapid prototyping: Move from idea to functional app framework in minutes
  • Governance included: Automatically respects user-level data access and security policies across connected data platforms.

App Catalyst is available starting today and may initially appeal to technical users such as product managers, developers, and technical practitioners, enabling them to visualize requirements, demonstrate concepts to stakeholders, and prototype digital products quickly. Over time, Domo plans to expand these capabilities to empower business users to validate ideas, test market hypotheses, and explore what is possible with data-driven applications, all while reducing dependency on IT teams.

App Catalyst reflects Domo’s broader vision for the future of the intelligent enterprise, where AI does more than accelerate experimentation. It helps organizations compose scalable, governed applications that connect data, workflows, and people in a single, trusted orchestration layer.

Domo will hold a live launch event to showcase the value of App Catalyst today, Wednesday, January 28 at 10:00 am MT. To register and attend or view after on demand, visit: https://www.domo.com/learn/webinar/good-vibes-x-domo-ai-apps

To learn more about App Catalyst, visit https://www.domo.com/app-catalyst.

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, statements of our Chief Executive Officer, and statements regarding our future performance and outlook, including guidance for our fourth fiscal quarter and fiscal year. 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 or subsequent filings with the SEC. All information provided in this release and in the attachments is as of the date hereof, and we undertake no duty to update this information unless required by law.

Domo Contact

Cory Edwards

VP Corporate Communications

PR@domo.com

Source: Domo

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