We work across industries. The patterns travel.
There are sectors where we know the data, the systems, and the decisions cold. They are a running start, not a boundary. The underlying problems repeat almost everywhere, so the work lands just as well in industries that look nothing alike.
Where we have shipped the most.
Six sectors where we have already done the hard yards. When your problem rhymes with one of these, we move faster and ask sharper questions from day one.
Apparel & textile
Demand forecasting, replenishment, fabric utilisation, shop-floor efficiency, and SMV modelling. The working-capital levers in a long, complex supply chain.
Manufacturing & industrial
OEE attribution, root-cause analytics, computer vision for quality, predictive maintenance, and production planning across discrete and process lines.
Retail & CPG
Replenishment, multi-geography forecasting, marketing-mix modelling, store and channel analytics, and assortment planning.
Financial services & BFSI
Fraud detection, credit modelling, customer-lifetime-value, and cloud-modernisation programmes for regulated financial operations.
Logistics & supply chain
Data-warehouse modernisation, MIS automation, and route and capacity optimisation across last-mile and network operations.
Pharma & life sciences
Data-lake foundations, supply-chain forecasting, and master-data management for regulated, multi-entity manufacturing.
The umbrella is bigger than the case studies.
A governed data layer, demand sensing, computer vision, and decision boards are the same problems in different industry clothes. So we take on work across a much wider field, same team, same rigour.
Do not see your sector? It is almost certainly still a fit. And if we are genuinely not the right team, we will say so and point you to someone who is.
Let’s build the thing you’re stuck on.
Thirty minutes with a principal. No decks, no sales script, just a straight read on whether we are the right team to ship it.