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Use cases

Build

Build data pipelines you can trust

Get every source of truth into one warehouse with pipelines that are tested, monitored, and cheap to run. Events, orders, ad spend, support tickets — landed, modeled, and ready for questions.

Runs on Build

Inventory the sources

We list every system that holds data your decisions depend on — the app database, the payment processor, the ad platforms, the help desk — and document what each one exports, how often, and where it lies. That inventory becomes the contract for the pipeline and the reason nothing surprising shows up in a dashboard later.

Example brief

Revenue lives in the payment processor, orders in the storefront, and marketing spend in three ad accounts. Nobody can answer what a customer cost us last month without a day of spreadsheet work.

Land, model, test

Extraction runs on a schedule with retries and alerts. Transformations are versioned code with tests that fail the build when a column changes shape or a total drifts from the source. Agents write the first pass of models and tests from the schema; we review the logic that carries business meaning.

Keep it running without a data team

Every pipeline ships with monitoring, cost limits, and a runbook that explains what to do when a source goes down. We tune warehouse spend so the bill stays flat as volume grows, and we hand over a repository your engineers can extend without calling us.

Example requests

Warehouse setup with modeled marts for revenue, marketing, and product

Scheduled extraction from storefront, payments, ads, and support tools

Data tests that block bad loads before they reach reports

Freshness and cost monitoring with alerts to your channel

Reverse sync of segments back into marketing tools

Try it on your own work.

Tell us the job. We scope it, price it, and ship the first sprint.