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Services

Data pipelines and automations that add up to the cent.

We build the plumbing between your systems: ingestion from APIs, exports and files, scheduled jobs with retries and alerts, and reconciliations that explain every difference instead of rounding it away.

When it fits

  • The same number is different in two systems and nobody knows why.
  • Someone copies data between tools every week.
  • A report takes a day to put together by hand.
  • A partner sends files or API data that you need in your own tables.

What you get

  • Ingestion from your APIs, exports and files
  • Reconciliations that explain every difference
  • Scheduled jobs with retries and alerts
  • Dashboards on top of clean tables

How we build it

How we work
  1. 01

    Map the sources

    Which systems, which numbers matter and who reads them.

  2. 02

    Ingest into clean tables

    Jobs you can re-run without double counting, with each client's data kept apart.

  3. 03

    Reconcile and explain

    Totals checked against the source, and every difference traced to its cause.

  4. 04

    Schedule and alert

    Scheduled runs with retries, alerts when something fails, and dashboards on top of the clean tables.

Stack

  • Python
  • SQL
  • Postgres
  • Workers and queues
  • To build it

    Build

    A product built phase by phase, from first release to v1.

    From $12,000

    • Fixed scope per milestone
    • Tests, CI and docs
    • The repository and its IP

    A deposit, then billed by milestone.

  • For recurring work

    Retainer

    Ongoing engineering for a product that is already running.

    From $3,500 a month

    • Features, fixes and upgrades
    • Model and prompt updates, re-run against the evals
    • Monitoring in production

    Billed monthly, in advance.

FAQ

Which systems can you connect?

Anything with an API, an export or a file drop. We confirm each one while scoping.

Where does the data live?

In a database in your own cloud account. We build the pipeline there and hand it over with its docs.

What happens when a job fails?

It retries, and if it still fails you get an alert with the reason. Every run is logged, so a missing day shows up.

Can you build the dashboards too?

Yes, on top of the clean tables, in the tool your team already uses where possible.

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