IT and data

    A partner for every systems change

    See what will break before a change, model data and build context faster, and give the business AI access that respects every permission.

    Talk to an engineer

    Every systems change lands on the same small team

    A merger, a CRM change or a BI retirement each means finding what depends on what, rebuilding what people use and keeping the business running while it moves. The same team fields every question the business asks, and now every AI tool wants warehouse access too.

    What changes for the data team

    • Dependencies found in production

      Impact mapped first

      Rig traces field, report and workflow dependencies across systems before anything changes.

    • Hand-written semantic layers

      Generated definitions

      Rig drafts table descriptions, joins and metrics from your warehouse, imports LookML where it exists, and keeps them current as schemas change.

    • A queue of questions

      Teams that answer their own

      Teams ask questions in Claude and Slack, and the answers use certified definitions. At Cleo, 144 people used Rig in one 30-day window.

    • Credentials in config files

      Governed AI access

      People and agents reach the warehouse through Rig’s MCP access, with roles, row rules and an audit trail.

    • A migration on top of the day job

      Engineers alongside you

      Our engineers do the change work with your team, and every change goes through your existing Git review.

    • Another tool to run

      Your stack, kept

      Rig runs on your warehouse and dbt.

    How data teams changed their systems with Rig

    Customer stories

    A UK IT services group

    How four merged IT services companies planned one platform

    58
    systems mapped across four companies
    7
    core systems to migrate, from 58
    Read the story

    An education software company

    How mapping Salesforce first made a cleanup safe to run

    45,381
    custom Salesforce fields mapped
    $1M+
    of customer enquiries found unanswered
    Read the story

    A merged education software group

    How two companies’ data moved onto one reporting layer

    108 of 322
    Tableau workbooks still in use, found overnight
    12,411
    real customers, where the old count said 43,245
    Read the story

    Where to start

    Common questions

    How is Rig different from Workato or Databricks?

    Workato moves records between apps as events happen, and Databricks is where data engineers build. Rig syncs your systems into one governed space that agents can safely work from, and maps how they connect. Keep Workato for instant hand-offs between apps.

    Do we have to change our warehouse?

    No. Rig runs on Snowflake, BigQuery, Redshift or Postgres, or on a warehouse we host for you.

    Does it work with dbt?

    Yes. Your team keeps dbt and its Git workflow.

    How is access governed?

    Column and PII rules apply on top of role and row-level access, and the audit trail logs every person, report and agent.

    SOC 2 Type 2EU and US hostingRole-based accessYour warehouse or ours

    Talk to Rig

    What work do you want to improve?

    Tell us where your team spends time, loses money or needs better information.
    In a 30-minute call, we’ll discuss the data and systems work that could help.

    Talk to an engineerUse the platform with your team, or add our engineers.