Practical thinking on data, analytics and growth

We help organisations make decisions with their data. That spans business intelligence and executive dashboards, commercial and route-to-market analytics, GIS intelligence, AI, and the data engineering that makes all of it reliable. Our solution areas are laid out under Solutions, each with the problem it tackles and what we deliver.

We're based in Nairobi, Kenya. Engagements run on-site, remotely, or a mix — depending on what the work needs.

We work across ten industries — including FMCG, distribution, retail, manufacturing, healthcare and financial services. The Industries section describes the specific challenges we tackle in each and which solution areas apply.

Every engagement starts with the business question — the decision you're trying to make — not the technology. We then build the smallest thing that answers it, put it in front of the people who'll use it, and iterate on real feedback. Once it's working, we embed it into your daily rhythm and train your team to own it.

It's the normal starting point. Most of our clients begin with data spread across spreadsheets, ERPs and field tools that don't talk to each other. Part of the work is building the pipelines and definitions that turn that into numbers everyone trusts — you don't need to clean anything up before talking to us.

Both, depending on what the decision needs. Some engagements are dashboard suites on top of data you already trust; others go deeper into pipelines, data models and governed metric definitions first. We size the infrastructure to the question, not the other way round.

That's the goal from day one. We build with your team rather than for them, document what we build, and hand over with training — so the system keeps working, and keeps being improved, after the engagement ends.

Use the contact page to tell us where your numbers frustrate you — we reply within one business day with a concrete way forward. If it's easier, email or call us directly; the details are on the contact page.