Predictive Analytics

Enough history that the pattern you want to predict actually appears in it, which usually means the outcome has occurred often enough across a meaningful span of time. We assess your data early and tell you honestly whether it can support the prediction you want before any modelling begins.

Yes. Churn and demand are two of the most common and valuable forecasts, provided your history captures the behaviour and the signals around it. We also model risk and other outcomes, and deliver each prediction into the workflow where someone can act on it.

Yes. Delivery into the tools and workflows your team already uses is the point, because a prediction people never see cannot change a decision.

We monitor accuracy as the world drifts and plan for retraining on fresh data, so the model keeps pace instead of silently going stale. You get a clear view of how well it is performing rather than blind trust in a number.

Yes. Source, infrastructure configuration and documentation are pushed to your repositories from day one, and the cloud accounts stay in your name. If we part ways, you keep everything and nothing stops working.

On scope. A one-to-two-week discovery produces an itemised estimate for a defined first release, so you see the full cost before committing to the build.

A focused v1 usually takes three to six months, shipped in two-week increments you can test as they land. A clickable prototype typically exists within fourteen days of the brief.

Yes. Our team works on GMT+6, with at least six hours of daily overlap with the Gulf, Europe, the UK, the US and Australia, and demos are recorded for anyone who missed the call.

We keep watching the metrics, respond to incidents and ship small improvements under a maintenance agreement, for as long as you want us. Runbooks and monitoring are in place from day one, so nothing depends on memory.