We build software, and we run the data behind it.
Engineers and a data operations team in the same company, so the system and the records that feed it stay together.
Software projects don’t usually come apart at the code. They come apart three months later.
The data going in is a mess, the migration was left half finished, and nobody was assigned to the boring parts.
That gap is why we set the company up this way. Engineers and a data operations team, same office, same accounts, same projects. When we ship something that depends on clean records, we’re the ones cleaning them.
What we do
Two services carry most of the work. The other three exist because clients kept asking us for them.
How we work
We start small
We’d rather your first project is one contained piece of work, priced up front. It tells you more about us than a proposal would.
You see it running
Working software every two weeks. Not a status report, not a percentage. The actual thing, that you can click on and complain about.
The code is yours
Your repository, your account, your keys. If you build an in-house team next year, they inherit a codebase with a readme that makes sense.
You talk to the people building it
An answer within a working day, from whoever is doing the work rather than someone relaying it.
Most of our work is in financial services.
Partly because it’s an industry where a wrong figure has consequences, and people are willing to pay for the discipline that prevents one.
- Reconciliation and month-end
- Breaks found and cleared on a fixed calendar rather than in the last week of the month.
- Portfolio and exposure reporting
- Packs that reconcile to the source, produced on a date you can rely on.
- Document extraction
- Statements, contracts and forms turned into structured fields, checked where confidence is low.
- Onboarding and application flows
- The systems that take a client from first form to approved, without email in the middle.
If you don’t know where to start, start with a conversation.
Where AI and automation pay off differs by company, and it’s usually a process nobody was looking at. One conversation is normally enough to find where the operational margin actually is.