Build AI Apps that finish the job

A Sigma AI app allows business teams to build critical operational workflows directly on a governed data foundation. This often replaces traditional spreadsheet workflows and custom applications. It incorporates writeback for data entry, and actions features for business logic.

A Sigma AI App is a tool for execution and action on data insight, while traditional dashboards are primarily for data visualization and reporting.

Sigma AI Apps unify analytics, apps, and AI into a single, governed environment to achieve both. This allows real-time collaboration where teams submit approvals, adjust forecasts, and drive automated business processes (like month end financial reporting).

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 data, your systems, and your workflow.

Yes. Sigma AI Apps frequently replace entire categories of spreadsheet- and productivity-based SaaS tools that sit on top of warehouse data. Instead of adding yet another point solution, teams consolidate mission‑critical workflows into Sigma so everything runs on a single, governed data foundation.

How does Sigma differ from low-code and no-code development platforms?
Sigma builds and operates directly on your live warehouse data. This is the only no-code environment that maintains security, governance, and the full scale of your cloud data foundation for every operational app.

Low-code solutions are API-first. They force users to extract and move data, creating architectural silos and security risks outside your governed CDW. They often require engineers for custom scripting and maintenance, quickly becoming tech debt.

While offering simple self-service, most no-code tools move data as well. They lack the scale for data-heavy operational processes in finance/GTM/Ops, this limits them to simpler use cases like project management, forms and basic task routing.

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.