Build AI Apps. Go secure to go fast and far.

A Sigma AI App is a custom, operational tool built natively on your cloud data warehouse that combines live analytics, governed writeback, and automated workflows. If Sigma Assistant answers your ad-hoc questions and helps you build while Sigma Agents execute your automated work, the AI App is the interactive interface where human teams and Agents collaborate to manage those processes.

Traditional BI dashboards are read-only interfaces meant for visualization. Sigma AI Apps are built for execution. They include Input Tables for governed writeback, Action buttons for triggering external APIs, and embedded AI logic. They don't just show you that inventory is low; they give you the interface to adjust the forecast and trigger the reorder in the same window.

Yes. With Sigma, you can go from first prompt to production ready app using AI. Then finalize pages, input tables, and actions in the no-code UI. You get the speed of prompt‑driven creation with apps that still respect your existing security and governance.

No. Sigma empowers all users to build AI-powered applications from prompt to production without writing code. Using Sigma Assistant, simply describe the workflow or application logic you need in natural language to assemble the interactive UI, logic, and data models directly on your warehouse.

Yes. Organizations frequently use Sigma AI Apps to stop buying fragmented, point-solution SaaS. Because you can build complex apps with writeback and agentic actions directly on your warehouse, teams consolidate mission-critical workflows into Sigma which reduces vendor sprawl, cuts license costs, and keeps all data on a single, governed foundation.

Standalone AI coding tools and low-code platforms are API-first; they force you to extract data, creating architectural silos and massive security risks outside your governed cloud data warehouse. Sigma operates directly on your live warehouse data. Every app built and deployed on Sigma inherits your warehouse’s row-level and column-level security automatically, meaning you don't have to engineer custom security infrastructure for every new tool.

No. When users standalone AI tools or coding assistants to generate apps, it creates ungoverned "Shadow AI". Sigma solves this by operating as a centralized control plane. Because AI Apps are built directly on the cloud data warehouse, security is inherited, not configured. The 1,000th AI app deployed is as secure and compliant as the first, requiring zero additional governance overhead from IT.

In contrast to Enterprise Performance Management (EPM) systems, which are typically aimed at broad financial planning and analysis, Sigma focuses on empowering teams to build scalable, critical, forecasting workflows using real-time data, which often results in a more tailored and agile solution in less time, without developer resources to build.

Yes, AI apps can be embedded into your internal or external products. This is now available thanks to row-level security (RLS) implemented in input tables to ensure that data entered by one user is not accessible by others, maintaining the necessary security protocols for multi-tenant environments.