AI data analyst

An AI data analyst is software that answers questions about your company's data in plain language by querying the data itself, rather than a person writing SQL and building a chart. Bruin is an AI data analyst that connects to your warehouse and business tools, answers in Slack, Microsoft Teams, Google Chat, WhatsApp, Discord, Telegram, email or the browser, shows the queries behind every number, and also builds dashboards and reports and acts on schedules and alerts.

ChatGPT and Claude only see what you paste or connect in that chat, do not know your schema or how your company defines revenue or churn, and cannot run a report every Monday or alert you when a metric moves. Bruin runs on your governed data: metrics are defined once in code, every answer carries the queries it ran, quality checks and lineage sit underneath, and it keeps working after the chat ends. Bruin also ships an MCP server, so Claude Code and other agents can use it as their data layer.

Bruin is an AI data analyst built to live where teams talk. You tag @Bruin in Slack and it replies in the thread with the answer, a table or a file. The same analyst works in Microsoft Teams, Google Chat, WhatsApp, Discord, Telegram, email and the Bruin Cloud browser app, so sales, finance, marketing and ops can ask from the tool they already have open. Bruin is listed on the Slack Marketplace and, as a Teams app, on Microsoft Marketplace.

Bruin connects directly to data warehouses and databases such as Snowflake, BigQuery, Databricks, Redshift, Postgres and MySQL, and to business tools such as Stripe, HubSpot, Salesforce, Shopify, GA4, Meta Ads, Google Ads, Mixpanel, Intercom and Zendesk, with thousands more reachable through APIs and webhooks. Ingestion is part of the platform, built on the open-source ingestr CLI, so a new source does not mean a separate ETL tool.

No. If you have a warehouse, Bruin queries it in place. If you do not, Bruin sets one up during onboarding and loads your sources into it. Ingestion, transformation, quality checks, lineage and scheduling are all built in, so a team without a data engineer can connect Stripe and HubSpot and ask the first question the same day.

Three ways. Metrics are defined once, in code, so revenue means the same thing whoever asks and wherever they ask. Every answer shows the queries it ran, so you open the SQL rather than argue about the number. And the data underneath is checked and traced: quality checks run on every pipeline and lineage shows which tables fed which result, so a broken source is caught before it becomes a wrong answer.

Bruin builds as well as answers. Describe a dashboard in one sentence and it creates a live, filterable, shareable one from your data. Ask for a board update, an investor update or a weekly leadership report and it produces the PDF or slides. Anything it builds can be put on a schedule.

Yes. Bruin posts scheduled briefs to a channel or inbox, watches metrics and alerts you when one moves, reconciles sources, and can take actions such as pausing an ad campaign when you approve. It asks before doing anything that is hard to undo, and it fixes broken pipelines overnight so the morning numbers are right.

Your data stays in your own warehouse and is queried in place; Bruin does not copy it into a third-party model provider. Bruin is SOC 2 Type 2 attested and ISO/IEC 27001:2022 certified, supports SSO and role-based access, and can run in Bruin's cloud or inside your VPC with private connectivity.

Any team that has to combine several data sources and data points to answer one question is a fit: revenue in Stripe, pipeline in HubSpot, spend in Meta and Google Ads, product usage in Mixpanel, support in Zendesk. That describes SaaS companies, ecommerce and DTC brands, mobile gaming studios and fintechs, and inside them founders and CEOs, finance, marketing, sales, product and operations teams. If your people want those answers where they already talk, in Slack, Teams or WhatsApp, rather than another BI tool to log into, Bruin is built for you.

Yes. Bruin exposes an API and an MCP server, so agents such as Claude Code can ask Bruin for governed data instead of guessing at raw tables. The underlying pipelines are the open-source Bruin CLI and ingestr, so engineers can version, test and run everything in CI.

The core is. The Bruin CLI for pipelines in SQL and Python and the ingestr CLI for ingestion are open source on GitHub and can run locally. Bruin Cloud is the managed layer that adds the AI data analyst, orchestration, catalog, lineage, access controls and audit logs.

You can start free with $100 in credits and 50 AI tasks, no credit card required, and pricing then scales with usage rather than seats. Most teams evaluate it by connecting one or two sources and asking the questions they already ask each other in Slack; a demo walks through your own data if you prefer.