Data infrastructure for business teams.

    GTM, RevOps & CX teams use Rig to sync, understand, and build with internal data - inside their AI tools.

    Bring your own warehouse - or leave the ingestion, warehouse & modelling to us.

    Startup?Try Rig freeScale-up?Book a demo
    Custom apps
    Integrations
    Slack
    Notion
    HubSpot
    Linear
    +300 more
    Your warehouseheadless
    Snowflake
    Databricks
    BigQuery
    Redshift
    MotherDuck
    Rig Ingestwe host
    HubSpot
    Supabase
    Stripe
    Xero
    Salesforce
    +300 more
    Customer stories
    Cleo

    From 3 data analysts automating data docs to 200 business users automating data-heavy work.

    Birdie

    Replacing reporting that took 2 weeks in Looker with custom internal apps built in 30 mins.

    Novakid

    Sales managers automating per-rep data-driven action plans, right into the CRM.

    Pick the version of Rig that fits.

    Three on-ramps. Same product underneath.

    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.

    Building a 'data brain'? Do it on Rig.

    Managing stale YAML files and writing skill files reliant on 15 MCPs creates tech debt fast. Bring your warehouse to Rig, and we'll take care of the rest.

    Without Rig

    Building a DIY context & access layer.

    • Manually document your data in static files. Gets stale, misses context.
    • Integrate multiple MCPs and APIs, handling re-auth and API changes constantly.
    • Document grep that returns random chunks or is inattentive.
    • A semantic layer only covering 10% of the data estate. Permissions are fiddly to set up in the warehouse, poor governance.
    • Every data schema change requires manual updates.
    Result: a layer that goes stale the moment the analyst who wrote it leaves, plus an AI access story you can't take to a security review.
    With Rig

    Managed data context, access, and hosting.

    • Self-maintaining managed context database.
      Tables, joins, metrics, PII, business terms, built from your data and kept current by Rig's Gardener as your schema changes.
    • Bring your warehouse, or let us handle it.
      Snowflake, BigQuery, Databricks if you already have one. Otherwise we host the warehouse for you.
    • One MCP, all your data fully permissioned.
      Claude, Cursor, Codex, custom agents. Per-user RBAC, PII masking and full audit enforced through the AI tool.
    • Build, host, and share internal apps.
      Your team ships dashboards, automations and agent workflows on Rig without a frontend engineer.
    See the full breakdown

    Use cases.

    Build anything that relies on data. Here are some ways customers use Rig today.

    See more uses

    The bits we're better at.

    Five things most teams comparing data stacks end up caring about. They're what the Rig product was actually built around.

    Auto-generation.

    Rig builds your context layer from your data. Not a blank dbt project to fill in.

    Wider than a semantic layer.

    Semantic layer plus ingestion, automations, hosting, and an AI interface. We embed, we don't compete.

    PII sandbox.

    Sensitive data is segregated by default. Rig knows what's PII and treats it accordingly.

    RBAC.

    Row-level access control out of the box. Compliance-ready from day one.

    Headless mode.

    Use Rig with your existing warehouse, or as the full stack. Your call.

    Connect your data. Try Rig today.

    Self-serve, no credit card. If you'd rather talk to a person first, we'll walk you through it.

    Try Rig freeBook a demo