Machine Learning & Predictive Analytics
Models that turn historical data into forecasts, scores, and decisions your team can act on.
Most predictive projects fail on plumbing and evaluation rather than on the model. We start from the decision you want to improve, work backwards to the data that can support it, and are candid early if the data cannot.
What we hand over includes the feature pipeline, the evaluation methodology, and the monitoring that tells you when a model has drifted — because a model nobody is watching quietly stops being correct.