Data, analytics & AI engineering · Harare, Zimbabwe
The numbers exist — in an ERP, a dozen spreadsheets, a scheduling tool, someone’s inbox. We build the pipelines, models and interfaces that turn them into something a decision can rest on, and we say so plainly when the answer is not more software.
A free 30-minute call, no obligation. We scope the problem and tell you if we're not the right fit.
Four situations, in roughly the order they tend to appear.
The pattern does not change much whether the source is a plant, a clinic, a fleet or a trading desk. What changes is the vocabulary.
Four things. Most engagements start with the first two.
One place where the operational, cost and volume numbers agree, updated automatically from the systems that already hold them.
Replaces: emailed spreadsheets, manual re-keying, and three departments quoting three different figures for the same month.
The numbers the organisation runs on, current to the last update rather than to last month.
Replaces: the first week of every cycle spent rebuilding the same workbook by hand.
The repetitive work between systems, done by software, with an audit trail.
Replaces: hours of copy-paste, and errors that only surface at audit.
Applied where there is enough clean history to justify it — and we will say so when there is not.
Most organisations need the three services above first. AI on data nobody trusts produces confident answers nobody will act on.
We start from the decision you are trying to make and the data you already generate. The tooling follows from that, and is usually less exotic than expected.
Source code, schemas and documentation are yours. No proprietary runtime, no licence that stops working if you stop paying us.
Work is broken into pieces with a stated output and a stated cost. If a piece turns out not to be worth building, we say so before it is built.
Plenty of organisations do not need a model, a warehouse or a platform yet. Saying so costs us a project and saves you a year.
The point of taking mechanical work off a desk is to put that person's judgement somewhere it counts. We do not scope systems on the basis of headcount reduction, and we will not build a business case that rests on it.
Four steps. You can stop after any of them.
A few minutes
A short note through the form: what you are trying to get out of your data, and what currently produces it. Enough that the call starts at the problem rather than at introductions.
30 minutes
You describe the organisation and where the numbers currently come from. We tell you whether the problem is worth solving with software yet.
1–2 weeks
We map the data you already have, agree what the system must produce, and put a fixed price and delivery date against it.
Agreed up front
We build it, connect it to your source systems, and hand over documentation so your team can run it without us.
That is usually the first thing worth finding out. Bring the reports you rely on now and we will tell you what is fixable and what is not.
A free 30-minute call, no obligation. We scope the problem and tell you if we're not the right fit.