Every tool you run, on one loom.

Subscriptions, invoices and refunds, joined to accounts so revenue questions answer themselves.

Accounts, owners and deal stages, so every revenue figure knows which customer and which rep it belongs to.

Tickets and satisfaction scores, lined up against revenue so support load has a price.

Point Warpyn at your warehouse and it reads the models your data team already trusts.

Product usage rolled up to account level, so adoption and churn sit in the same answer.

Campaign spend matched to the customers it actually brought in, not the clicks it claimed.

The plan, the targets and the lookup tables that only live in spreadsheets, finally in the same place as the actuals.

Headcount by team and start date, for revenue per head and hiring plans without personal data.

The general ledger next to billing, so gross margin and burn are one question away.

Query a read replica of your production database directly, with row limits and a timeout you set.

Lifecycle emails matched to what customers did next.

Orders, shipments and returns for teams that sell physical products as well as software.