important terms
Generation AI
medicine
Generative AI is a type of computer technology that allows you to independently create new content, such as text, images, and music. This is important because it allows us to quickly create realistic and useful materials, and could change the way we create art, write stories, and even develop new products. Think of it as a smart robot that can invent and produce in much the same way as humans.
natural language prompts
technical
Natural language prompts are short, everyday language instructions or questions you give your AI tool to get a specific response, such as asking a knowledgeable assistant to summarize a report or create an investment checklist. How prompts are written is important to investors because it shapes the quality, accuracy, and bias of the analysis and trading ideas that AI generates. This is similar to how clearer instructions produce better results from human assistants.
Row-level permissions
technical
Access rules that control who can view or modify individual rows (records) in a database or table. This is similar to a filing cabinet where each folder can only be opened by specific people. Row-level permissions are important to investors because they reduce the risk of unauthorized access to sensitive information, meet regulatory and privacy requirements, and support stronger governance. These factors can impact a company’s legal risk, reputation, and ultimately financial value.
Column level masking
technical
Column-level masking is a data protection technique that hides or changes the contents of certain fields in a database (such as name, account number, or medical ID) while leaving other data available. For investors, this is important because keeping sensitive information private reduces regulatory, legal, and reputational risks and allows companies to securely share and analyze business data. Think of it as blurring faces in photos so you can study the scene without revealing your identity.
governance
finance
Governance refers to the systems and processes that determine how an organization is directed and controlled. This includes making decisions, establishing rules, and overseeing activities to ensure that the organization operates fairly, transparently, and in the best interest of stakeholders. Good governance helps build trust and stability. This is important to investors because it demonstrates responsible management and reduces risk.
cloud data platform
technical
A cloud data platform is an online service that uses remote servers instead of on-site computers to store, organize, and analyze company information. They act like virtual filing and analysis centers that scale up or down on demand, allowing businesses to run reports, power apps, and gain insights without spending a lot of money on hardware. Investors are focused on these because their role in subscription revenue, growth potential, cost efficiency and competitive advantage can have a significant impact on a company’s future profits and valuation.
This new feature helps organizations scale AI-built apps with built-in governance, security, and controls across existing data platforms.
silicon slope,
Generative AI has dramatically lowered the barriers to building software. With Vibe Coding, you can now turn your ideas into working prototypes faster than ever before. However, many of these experiments stall before reaching production due to constraints such as weak code, limited maintainability, and lack of alignment with corporate data and security standards.
Existing Vibecoding systems on the market are optimized for speed of creation and often require managing data, logic, and governance across multiple systems. App Catalyst is designed for when you need to maintain, trust, and scale applications across your enterprise.
App Catalyst is built to fill that gap.
App Catalyst allows users to write the applications they want to build using natural language and instantly generate functional app frameworks that run on enterprise data accessed through Domo, including data stored on major cloud data platforms such as Snowflake, Databricks, Google Cloud, and Oracle. The resulting app foundation integrates with customers’ existing datasets, is deployed through Domo App Studio, and automatically inherits existing governance and security controls such as per-user data access permissions, row-level permissions, and column-level masking. If the data isn’t already available, App Catalyst generates placeholder data so your team can start building right away.
More broadly, App Catalyst signals a shift in the way organizations build with AI. Early “vibe coding” tools focus on rapidly generating raw code, but real enterprise impact requires a move toward synthesis rather than generation. Domo is designed to be the foundation of that future, with AI helping teams build controlled, production-ready app frameworks that align with data access, security, and operational standards from the start, without forcing organizations to move or replicate data. This evolution moves organizations away from fragile experiments that often incur additional engineering and technical debt, and toward building scalable applications that can grow with the business.
Josh James, CEO of Domo, said: “The next evolution is to move from raw code generation to creating applications governed by design, based on trusted data. App Catalyst is an important step in that direction. It’s like a touchstone because it provides a production-ready foundation that teams can scale with confidence while continuing to work with data on the platforms they already rely on.”
Rather than trying to deliver a finished application in one step, App Catalyst provides an attractive starting point on a production-ready platform. Teams can quickly iterate through live code generation, instantly preview changes, publish apps with one click, and continue to improve and customize applications to meet evolving requirements.
The main benefits of App Catalyst are:
- AI efficiency: Rapidly create and iterate ideas using natural language prompts
- Creating a self-service app: Build a pro-code app foundation without extensive up-front engineering
- Rapid prototyping: Go from idea to functional app framework in minutes
- Governance includes: Automatically respect user-level data access and security policies across connected data platforms.
App Catalyst is available today and will initially appeal to technical users such as product managers, developers, and technical personnel to help them visualize requirements, present concepts to stakeholders, and rapidly prototype digital products. Over time, Domo plans to expand these capabilities to enable business users to validate ideas, test market hypotheses, and explore what’s possible with data-driven applications while reducing dependence on IT teams.
App Catalyst reflects Domo’s broader vision for the future of the intelligent enterprise, where AI doesn’t just accelerate experimentation. It helps organizations build scalable, managed applications that connect data, workflows, and people in a single, trusted orchestration layer.
Domo is hosting a live announcement event today, Wednesday, January 28th at 10am (Montana time) to showcase the value of App Catalyst. To register to participate or watch on-demand, visit https://www.domo.com/learn/webinar/good-vibes-x-domo-ai-apps.
For more information about App Catalyst, visit https://www.domo.com/app-catalyst.
About Domo
Domo is an AI and data product platform that helps businesses of all sizes leverage data and AI to drive value in today’s data-driven world. Built around your preferred data foundation, powered by the award-winning Domo.AI solution, and powered by an ecosystem of partners, 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 enriching your data foundation to building fully embedded applications that can be shared with employees and customers to deploying AI models across a variety of providers, Domo gives users the ability to build data products that create measurable value for your business.
For more information, please visit www.domo.com. You can also follow Domo on LinkedIn. ×Facebook.
Forward-looking statements
This press release contains forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, 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 by our chief executive officer and statements regarding our future performance and prospects, including our fourth quarter and fiscal year guidance. Forward-looking statements are subject to risks and uncertainties and may be based on inaccurate assumptions that could cause actual results to differ materially from those anticipated or implied by the forward-looking statements. Actual results may differ materially from anticipated results and reported results should not be considered as an indication of future performance. Potential risks and uncertainties that could cause actual results to differ from projected results include, among other things, the risks and uncertainties contained under the caption “Risk Factors” and elsewhere in the Company’s filings with the SEC, including, without limitation, the Company’s Annual Report on Form 10-K filed with the SEC on April 4, 2025 or any subsequent filings with the SEC. All information provided in this release and its attachments is current as of the date of this release, and we undertake no obligation to update this information unless required by law.
View source version on businesswire.com. https://www.businesswire.com/news/home/20260128493135/ja/
Hello contact information
corey edwards
Vice President of Corporate Communications
PR@domo.com
Source: Domo
