Sigma AI

Sigma is a business intelligence platform where analysts and business users work in a spreadsheet-like grid to build tables and charts, running queries directly against a cloud data warehouse such as Snowflake or BigQuery without copying data into its own database. Sigma AI adds a chat assistant that answers questions and turns them into an editable workbook, showing the formulas and filters it used so a user can check the logic instead of trusting a black box. A separate AI Query feature calls a large language model inside a table column for tasks like sentiment tagging or text extraction at warehouse scale, and Sigma Agents can watch a metric and trigger an action in Slack or Salesforce when a threshold is crossed. It is made by Sigma Computing.

This fits a company that has already invested in a cloud warehouse like Snowflake, Databricks, or BigQuery and wants business users to explore that data directly, with governance and row-level security staying in the warehouse rather than a separate BI layer. A good start is a pilot with one analytics team connecting Sigma to a single warehouse schema. Pricing scales with data volume and seats and is not fully public; third-party estimates put a small deployment near $300 a month and larger enterprise contracts in the tens of thousands per year, so treat those as a planning range and get an actual quote. Because Sigma AI can call outside language models such as OpenAI or Anthropic, confirm which provider is used and how prompts and data are handled before sending sensitive information through the AI features.