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Sigma Computing

Say yes to AI tools. Keep what they build.

Claude, ChatGPT, Codex, and Cursor work from the same governed data as your dashboards, and what they build lands in Sigma.

  • The same answer in every assistant

    Assistants read the same data models as your dashboards, so the numbers agree.

  • AI work that lasts

    What a coding agent builds becomes a Sigma workbook people can open, share, and keep using.

  • Say yes without the risk

    Requests run as the person asking, inside the permissions and logs you already manage.

Claude Sigma connector

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Your team’s AI work has nowhere to live

Each tool gets wired to data on its own, answers drift, and what people build stays a prototype. Sigma gives that work one governed home.

TodayWith Sigma
Exports pasted into each assistant return different answersEach tool reads the same governed data models
Prototypes and Streamlit apps nobody else can openWhat agents build lands as workbooks people share
A new integration for each tool someone buysOne connection and one set of permissions
No record of what AI asked or changedRequests logged as the person who made them

What your team gets from its AI tools

Trusted answers, work that lasts, changes you can review, and the expertise your team already built, wherever people use AI.

Matching answers

Claude, ChatGPT, and Codex give the same answer

Claude and ChatGPT query your governed data models through the Sigma MCP server, so an answer in chat matches the dashboard everyone already trusts.

  • Answers from your data models
  • Each person’s own permissions, through OAuth
  • Nothing pasted into the chat

Built to last

What AI builds is ready for the business

Codex and ChatGPT build and edit Sigma workbooks with the Sigma plugin. Each one lands in Sigma on live data, ready to share, govern, and keep running.

  • Workbooks saved to your Sigma documents
  • Live warehouse data, no extracts
  • Edit in Sigma or keep prompting

Safe releases

Ship Sigma the way you ship software

The Sigma CLI and agent skills for Sigma let Claude Code and other coding agents work in Sigma from the terminal, so changes are scripted, reviewed, and run in your CI/CD pipeline.

  • Scripted from the terminal or CI/CD
  • Agent skills for Claude Code (beta)
  • Built on the Sigma REST API

Shared expertise

Bring your Sigma agents into any tool

The agents your team built in Sigma answer inside Claude and Codex, so the know-how in their instructions and data travels with them, and each run is logged.

  • Call Sigma agents through the Sigma MCP server
  • Runs as the person calling it
  • Runs logged with source and tokens

Works with all the tools your team uses

Your warehouse and AI models go in, people work in Sigma or their own AI tools, and everything runs through one governed layer.

See all integrations

One front door for every AI tool

Requests from AI clients follow Sigma permissions and warehouse policies, and calls are logged.

Visit the Trust Center
  • Revoke in one place

    Decide which tools and which data each user can reach, and turn access off centrally.

  • Per-user OAuth

    Connect with OAuth so queries run with each person’s own warehouse role.

  • Row- and column-level security

    Reads and writes both inherit your table policies.

  • Audit trail

    Audit logs record user activity, AI conversations, and input table edits, so you can see who changed what.

  • Your data stays put

    Sigma queries your warehouse in place and never copies the data out.

  • Certified

    SOC 1, SOC 2, SOC 3, HIPAA, GDPR, CCPA, and ISO 27001.

  • “The API documentation has been critical to getting this product integrated with our existing access and governance controls. Version control allows development to be managed more like traditional software engineering.”
    Director of Data and AnalyticsConsumer Goods · Gartner Peer Insights (opens in a new tab)
  • “…I had them connected and talking to each other within 5 minutes.”
    Analytics EngineerRetail · Gartner Peer Insights (opens in a new tab)
  • “It's helping us create workbooks faster than ever by using Workbooks as Code.”
    Kyle WeberLead BI Developer · Enterprise (> 1000 emp.) · G2 (opens in a new tab)
  • “Sigma has been quick to adapt powerful AI solutions within the modern data stack, from consuming AI-powered data sets to using LLMs to leverage AI at the BI layer directly.”
    Senior Data AnalystSoftware · Gartner Peer Insights (opens in a new tab)
  • “The version tagging feature enables us to safely and dependably deploy workbooks to production.”
    Principal Software ArchitectSoftware · Gartner Peer Insights (opens in a new tab)
  • “The ability for technical users to write custom SQL or Python and allow end users to further use those results is a game changer.”
    Data and Analytics ManagerManufacturing · Gartner Peer Insights (opens in a new tab)
  • “A powerhouse of current value with a product roadmap designed to achieve the analytics capabilities of tomorrow.”
    VP, Head of Data and InsightsGartner Peer Insights (opens in a new tab)
  • “Created for those with SQL, Python, & Excel knowledge. Allows for transferring those skills directly over to the platform without learning some domain-specific modeling language.”
    Finance AssociateSoftware · Gartner Peer Insights (opens in a new tab)

MCP & AI tools FAQ

  • What is the Sigma MCP server?

    The Sigma MCP server lets AI clients that support the Model Context Protocol query and work with your Sigma data, inside each user’s permissions.

  • Which AI clients work with Sigma?

    Any MCP-compatible client. The docs cover Claude, ChatGPT, Codex, Cortex Code, and Cursor.

  • Does my data get copied into the AI tool?

    No. Requests run against your warehouse inside the user’s permissions, and the AI client receives only the results it asked for.

Say yes to the AI your team already uses

Bring the tool your team wants, and we’ll connect it to your governed data live.