What we do
We design the system, build the software, and stay until it works.
Most of what we are asked to fix is not a software problem yet. It becomes one because a process outgrew the tools around it and nobody had time to stop and redraw it. That is the work.
The four stages
Develop. Build. Scale. Grow.
The order is the point. Each stage produces the thing the next one needs, and skipping one does not save time — it moves the cost later, where it is more expensive.
Develop
We map what actually happens, not what the process document says happens. That usually means sitting with the people doing the work. The output is a written account of where the operation leaks, in your language, that you could act on without us.
Build
We ship the narrowest system that changes the outcome, running on your real data from the first week. Small enough to finish, real enough to be wrong in useful ways while it is still cheap to change.
Scale
Working once and working every Tuesday at month-end are different problems. This stage is load, failure modes, the edge cases your operation produces that no sample data contains, and the monitoring that tells you before your customers do.
Grow
We hand over to a team that can run it, extend it and fix it without us. Documentation written for whoever inherits it, not for the invoice. If you still need us afterwards, we did this stage badly.
In practice
What we are usually brought in to do.
Turn data you already have into decisions you can make
The most common version of this problem is not missing data — it is data that exists in four systems, disagrees with itself, and takes a person two days to reconcile into a number somebody then doubts. We build the thing that makes the number trustworthy, which is usually less glamorous and more valuable than a model.
Applied machine learning, where it earns its place
Classification, extraction, ranking, forecasting. We will tell you when a rule and a lookup table would do the job better, because they often would.
Systems design before software
Redrawing the process so the software has something sane to automate. Sometimes this is the whole engagement.
Integration between things that were never meant to meet
The unglamorous connective tissue — the API that does not exist, the export that arrives as a PDF, the legacy system nobody will replace this year.
Rescuing a build that stalled
A second team, a changed spec, or a proof of concept that was never built to survive production. We will say honestly whether it is worth finishing.
How engagements start
A short piece of work that produces a decision.
The first engagement is two to four weeks with a defined end. You come out of it knowing whether the thing is worth building, roughly what it would take, and whether you want to keep working with us. Nobody signs a long contract before all three are clear, which protects you more than it protects us.
The questions that come up first
Tell us what's slowing you down.
One paragraph is enough to start. We reply within two working days.