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    For startups

    The full AI data stack, no engineers needed.

    Connect your CRM and SaaS tools. Rig handles ingestion, warehouse, context, automations, and AI access. You're shipping by end of day.

    Try Rig

    Five steps, raw data to running.

    From "we have a CRM and three SaaS tools" to "the rest of the team is shipping on it" inside a working week.

    app.rig.so · connectors
    Option A
    Connect SaaS sources
    HubSpot
    Stripe
    Attio
    Intercom
    Slack
    Salesforce
    Rig hosts the warehouse for you.
    or
    Option B
    Connect your warehouse
    Snowflake✓
    BigQuery
    Databricks
    Postgres
    Headless mode — Rig runs on your warehouse.
    • Ingestion from your SaaS tools and databases. No pipelines to babysit.
    • A managed warehouse that you don't have to run.
    • A context layer built automatically from your data. No dbt project to fill in.
    • Automations across your stack. Alerts, reports, CRM updates, on a schedule or on a trigger.
    • Internal apps and dashboards your team can build without engineering.
    • MCP-ready so Claude, ChatGPT, Cursor, and Codex can use your data straight away.

    What changes when you skip the stack.

    Without Rig
    • Hire a data engineer, an analyst, and/or consultancy
    • Wire up Fivetran, Snowflake, dbt, Hightouch, Retool, and Looker
    • Hours of plumbing and debugging pipelines to get it working
    • Your AI tools don't understand how your data is structured
    With Rig
    • Connect your tools. We manage the pipes and storage.
    • First useful output in a day, not a quarter
    • Rig auto-builds the context so Claude and ChatGPT understand your data
    • No manual skill files, html sharing, or wrangling 12 MCPs

    A team that shipped on Rig.

    "Every team has a Rig agent now. Ops, support, fraud, marketing. We stopped being the bottleneck."

    C
    Cleo
    Consumer fintech, Series C
    Read the case study

    Start with your real data.

    Self-serve, no credit card.

    Try Rig