Bruin Startup Program: Open-source data stack and AI data analyst for startups

Bruin for Startups Open-source data stack and AI data analyst for early-stage startups. A Bruin engineer onboards you and sets everything up with open-source tools. Run it locally or self-host it, then start analyzing your data with your own AI. Book a planning call See how it works How it works Three steps, all free. 1 Book a planning call Open to every team, about 30 minutes. We map out what V1 of your stack should cover. 2 Hands-on workshop A Bruin engineer will help set up your data pipeline and configure the local AI analyst - or follow the templates yourself. 3 Deploy it your way Run it locally, or deploy to GitHub, AWS, or your own VM. Everything is open source and stays with you. Book a planning call A Bruin engineer runs every session, so slots are limited. Free and open source From your data & context to a local AI analyst. Bruin ingests, cleans, and combines your data, then builds a context layer on top. Ask a local AI analyst - in Cursor, Claude, or Codex - for the reports and answers you need. Your sources +1,000 more Bruin open source tools Ingest Clean Combine Context layer Analyze Your local AI analyst Answer questions Why did signups dip last week? Ad-hoc reports Weekly revenue$18.2k Dashboards Retention D30 42%↑ 6 MRR Ask your AI about Bruin Frequently asked questions. What does Bruin help startups with? A Bruin engineer helps you set up your data pipeline with our free, open-source tools, deploy it on your own infrastructure, and stand up a local AI data analyst that already knows your data. The goal is a working, self-hosted data stack that you own and can keep running without us. Does any of this cost anything? No. The Bruin CLI is free and open source, the templates and deployment guides are public, and the planning call and build session with a Bruin engineer are free. We take no equity and there is no application. Where does my data live? Who owns it? Your data stays in your own database or warehouse, and you own it. That can be a local database like DuckDB, or a warehouse like BigQuery, ClickHouse, or MotherDuck - on a free tier or a paid plan, whichever you choose. Bruin moves and models the data in the destination you control; we never hold a copy. If you ever stop using Bruin, your warehouse and everything in it stays exactly where it is. Do I have to use Bruin Cloud? No. Everything on this page runs on the open-source CLI on infrastructure you own. Bruin Cloud is an optional managed platform if you would rather not run scheduling and monitoring yourself, but nothing here requires it. Where can I deploy it? Anywhere you already run software. Common choices are GitHub Actions, AWS Lambda or ECS, Google Cloud Run, GitLab CI/CD, Apache Airflow, or a single Ubuntu VM with cron. Each has a step-by-step deployment guide, and a Bruin engineer can walk through your setup with you. What is the local AI data analyst? It is an AI analyst that runs against your own data stack, with the full knowledge and context layer Bruin builds from your pipelines - your tables, columns, lineage, and definitions. You can ask it questions in plain language, have it prepare reports, and explore your metrics, without exporting your data to a third-party service. What is the "context layer" the AI analyst uses? Bruin already understands your pipelines: the sources you ingest, the transformations you run, column-level lineage, and the quality checks on each asset. That metadata becomes a context layer the AI analyst reads, so it answers questions about your actual data model rather than guessing from raw table names. Is the onboarding session free even if we never become a customer? Yes. It is not a sales call. A Bruin engineer helps you set up a pipeline with the open-source tools, deploy it on your own infrastructure, and connect the AI analyst. If the right answer for your team is the open-source CLI on your own servers forever, we will help you get there. Can I self-host and never use the managed platform? Yes, and that is a supported outcome rather than a fallback. The CLI is free and open source and every template and deployment guide is public, so you can run everything on your own infrastructure indefinitely at no cost. The planning call, the build session, and office hours are available to you either way. Where can I get help or ask questions? Book a free planning call and a Bruin engineer will work through your setup with you. Recurring office hours are announced in the Bruin Slack community, which is open to everyone: https://join.slack.com/t/bruindatacommunity/shared_invite/zt-2dl2i8foy-bVsuMUauHeN9M2laVm3ZVg What is Bruin? Bruin is an end-to-end data platform covering ingestion from thousands of sources, SQL and Python transformations, data quality checks, orchestration, column-level lineage, and an AI analyst. The CLI is free, open source, and can be self-hosted. It covers in one tool what teams usually assemble from Fivetran, dbt, Airflow, and a BI product. Do it yourself Or get a pipeline running on your own. Everything below is public and free. Clone a template, pick where to self-host, and you have a pipeline on your own infrastructure. Prefer help? Book a call. Templates All templates Clone with bruin init. Ingestion, models, and checks already wired up. GA4 + Search Console → BigQuery →Organic search reporting neither Google product produces on its own.Stripe → BigQuery →Customers, subscriptions, and invoices into raw, staged, and reporting layers.Shopify → BigQuery →Store data into your warehouse with ingestr.Firebase → BigQuery →App events, user models, and daily cohorts.Google Sheets → BigQuery →Get the numbers out of spreadsheets and into a warehouse. Self-host and deploy All guides Run it on infrastructure you already pay for. Same pipeline, your servers, your credentials. GitHub Actions→Repo secrets, scheduled workflows, and push triggers.AWS Lambda→A container image for short scheduled or event-driven runs.Ubuntu with cron→One VM, local credentials, cron schedules, and logs.Apache Airflow→BashOperator or KubernetesPodOperator inside your DAGs.GitLab CI/CD→Protected variables, scheduled pipelines, and manual jobs.