From scoping call to production in weeks, not quarters.
Every engagement runs on your data and in your environment, with acceptance criteria agreed in writing before we write a line of production code. Here is what that looks like, step by step.
Six steps, one team from start to finish.
The same engineers who scope the work build it, evaluate it and hand it over. Nothing gets lost between a sales team and a delivery team, because there is no sales team.
See the engagement models →Scoping call
Thirty minutes with the founder. You describe the workflow, the data and the constraint you are working under. We tell you whether we are the right team, and roughly what it would cost.
Discovery sprint (1–2 weeks)
Workshops with your team, a review of the data and systems involved, and a written scope with acceptance criteria. It ends with a fixed-price proposal and a build-or-buy recommendation, even if the recommendation is not us.
Prototype on real data
A working version on your real data, in your environment. We benchmark candidate models on your task rather than on public leaderboards, and share what we find each week.
Evaluate against agreed acceptance criteria
We measure the prototype against the criteria from the sprint and show you the results, including the failures. The go or no-go decision is yours, made on evidence.
Deploy with monitoring and hand-over
Production rollout in your environment, with monitoring, a regression suite, documentation and working sessions so your engineers can run and extend the system without us.
Retainer or hand-over
Either you take the system on, with everything you need to own it, or we stay on a monthly retainer to keep the metrics current and ship improvements. Thirty days' notice, no lock-in.
What we do, and what we won't.
When we're not sure.
Sometimes the discovery sprint shows that the data will not support the goal: there is not enough of it, it is not labelled the way the task needs, or the thing you want to predict is not actually in it. When that happens we stop and tell you, with the evidence, rather than building something that will fail quietly later.
Sometimes the honest answer is to buy rather than build. If an existing product covers your workflow and your data can leave your environment, we will say so in the sprint readout. You pay for the sprint either way, and you leave with a written recommendation you can act on without us.
And when a result is uncertain, we say so. Low-confidence numbers are flagged as low confidence, with the sample size and the reason, rather than being smoothed over into a clean headline figure. Your risk and compliance teams will ask the hard questions anyway. We would rather you heard them from us first.
Tell us what you're trying to ship.
Thirty minutes with the founder. We'll tell you honestly whether we're the right team, and what it would cost.